[{"data":1,"prerenderedAt":380},["ShallowReactive",2],{"slug-chatgpt-alternatives-for-healthcare-and-research":3},{"post":4,"relatedPosts":171,"relatedBooks":291},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":29,"categories":30,"tags":33,"project_category":40,"contact_email_category":42,"yst_prominent_words":43,"class_list":52,"better_featured_image":68,"acf":105,"yoast_meta":115,"_links":118},51259,"2023-06-13T10:00:00","2023-06-13T08:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=51259&_wpnonce=54cde71949&status=auto-draft&type=post","2023-06-12T19:28:08","2023-06-12T17:28:08","chatgpt-alternatives-for-healthcare-and-research","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-alternatives-for-healthcare-and-research",{"rendered":17},"ChatGPT Alternatives For Healthcare And Research",{"rendered":19,"protected":20},"\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-potential-medical-use-cases-for-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT\u003C\u002Fa> has made a name for itself in the world of AI, along with Bard and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\" target=\"_blank\" rel=\"noreferrer noopener\">MedPaLM\u003C\u002Fa>. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F17-healthcare-companies-that-already-integrated-chatgpt-infographic\" target=\"_blank\" rel=\"noreferrer noopener\">Following the success\u003C\u002Fa> of these \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-does-gpt-4-mean-for-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">first-generation language models\u003C\u002Fa>, a host of alternatives, including the open-source project Spark NLP for Healthcare, have emerged. Our exploration today focuses on alternative solutions that, while underpinned by the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhats-next-for-chatgpt-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">principles of ChatGPT\u003C\u002Fa>, have \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-in-healthcare-what-the-science-says\" target=\"_blank\" rel=\"noreferrer noopener\">potential utility in the healthcare and research\u003C\u002Fa> sectors.\u003C\u002Fp>\n\n\n\n\u003Cp>ChatGPT is remarkable, but it does have its drawbacks: a knowledge cut-off in November 2021, unilateral control and updates by OpenAI, an iOS-exclusive mobile app, and API-only integration, which can be quite costly.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full is-resized\">\u003Cimg loading=\"lazy\" decoding=\"async\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_363_720_ChatGPT-in-healthcare.png\" alt=\"ChatGPT alternatives\" class=\"wp-image-51013\" width=\"720\" height=\"405\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_363_720_ChatGPT-in-healthcare.png 720w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_363_720_ChatGPT-in-healthcare-370x208.png 370w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>However, the large language model ecosystem is expanding rapidly, with dozens or perhaps hundreds of ChatGPT alternatives. So, let’s explore some other intriguing options out there.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FSignificant-Gravitas\u002FAuto-GPT\" target=\"_blank\" rel=\"noreferrer noopener\">AutoGPT \u003C\u002Fa>and \u003Ca href=\"https:\u002F\u002Fmedium.com\u002Fthe-generator\u002Fchatgpts-next-level-is-agent-ai-auto-gpt-babyagi-agentgpt-microsoft-jarvis-friends-d354aa18f21\" target=\"_blank\" rel=\"noreferrer noopener\">Co\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>These open-source counterparts of ChatGPT allow anyone to integrate GPT-4 into their services or create self-prompting AI machines capable of autonomous tasks. \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=-N5Rhx-1K7w\" target=\"_blank\" rel=\"noreferrer noopener\">AutoGPT\u003C\u002Fa> the original iteration requires coding knowledge, but everyone can test versions like \u003Ca href=\"https:\u002F\u002Fgodmode.space\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">GodMode\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Faiagent.app\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">AiAgent\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Fagentgpt.reworkd.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">AgentGPT\u003C\u002Fa> without learning Python.\u003C\u002Fp>\n\n\n\n\u003Cp>As fully autonomous examples of GPT-4 in action, AutoGPT showcases the AI’s ability to chain together its language model “thoughts” to accomplish set goals. In plain English: theoretically, you only need to ask how to improve the marketing of your clinic, and AutoGPT will start asking and answering relevant questions, prompting itself during the process until it finds the solution. I say theoretically, as during my testing, these solutions didn’t really include revolutionary new findings, but they indeed showed a good, systematic approach. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"What is AutoGPT? Explained in 2 minutes\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F-N5Rhx-1K7w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>These agents have internet access, manage both long-term and short-term memory, generate text with GPT-4 instances, and even summarize files. AutoGPT is also extensible with plugins. \u003C\u002Fp>\n\n\n\n\u003Cp>However, AutoGPT is an experiment, not a polished product, so it might stumble in even not-so-complex real-world scenarios. Also, be prepared for a potentially high running cost.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fwww.chatpdf.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">ChatPDF\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>This is a tool for reviewing pdf files. You can upload your file, let ChatPDF analyse it, and then ask your questions, and the chatbot will fetch answers for you. Tested it on our own research paper and its answers were relevant. I also tested it on a Hungarian language HR survey that included tons of visuals and its answers were useless.\u003C\u002Fp>\n\n\n\n\u003Cp>In theory, this app can understand any language and respond in your preferred one. ChatPDF guarantees the security of your data in secure cloud storage, allowing you to delete it whenever you wish—a much-needed privacy feature, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhere-is-what-even-healthcare-ai-companies-do-with-your-data\" target=\"_blank\">not obvious among various AI apps\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fwww.perplexity.ai\u002F\">Perplexity.ai\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>This tool is very similar to ChatGPT but can search the internet. Based on my testing, it occasionally struggles to interpret prompts. For example, when looking for new statistics, it regularly comes up with several years old data. On the other hand, it’s very fast and fun to use. Also, it is cool how you can see the sources on which the algorithm based its answer, which is very handy.\u003C\u002Fp>\n\n\n\n\u003Cp>The “conversations” are less smooth than with ChatGPT, and Perplexity tends to overlook my previous prompts, even within the same thread. When playing the “guess who I am” game – I instruct the AI to try and set up a profile of me based on my previous prompts in the thread -, it totally drove itself into a meaningless loop about AI language models. \u003C\u002Fp>\n\n\n\n\u003Cp>Upside: It has both iOS and Android apps and a Chrome extension. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fwww.magicslides.app\u002F?via=chatgpt-alt\">Magicslides.app\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>A tool aiming to transform text into “visually stunning” presentations. Its USP is the ability to generate presentations from just a topic and a slide count. The tool’s customization options include different themes, font choices, color palettes, and layouts. While it provides a certain number of free presentations per month, any excess would require a subscription. A downside: you need to agree to run ads in your browser upon installation, which might deter some users. It certainly discourages me. \u003C\u002Fp>\n\n\n\n\u003Cp>MagicSlides is not the only presentation-wizard algorithm, many users recommend others like \u003Ca href=\"http:\u002F\u002Ftome.app\u002F\">Tome\u003C\u002Fa>, or \u003Ca href=\"http:\u002F\u002Fstoryd.ai\u002F\">Storyd\u003C\u002Fa>, or \u003Ca href=\"http:\u002F\u002Fpowermodeai.com\u002F\">PowerMode AI\u003C\u002Fa> – just to name a few.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fconsensus.app\u002Fsearch\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Consensus.app\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>This is an AI-powered search engine designed to distill findings from scientific research. I really like this idea and think such tools will eventually become highly useful. We are not there yet, but progress is ongoing. \u003C\u002Fp>\n\n\n\n\u003Cp>I started testing the system with a few of my pet peeves – questions I really want to find the answer to but never have the time to do proper research. Like “Why do so many women have lower back pain the day before their periods?” or “Is there a correlation between the number of siblings you have and the number of kids you have? (Will being an only child increase or decrease the odds of one having one child only?)” None of these questions could be answered with consensus. \u003C\u002Fp>\n\n\n\n\u003Cp>In theory, I really like the Synthesize function, which would spare a lot of time when researching complicated topics. But at the moment it is quite dumb. I tried using it on increasingly simpler questions, with no success either. I was never presented with a synthesis, it kept saying “not enough data”. \u003C\u002Fp>\n\n\n\n\u003Cp>So I finally went with “How is GPT-4 used in healthcare?” And got this summary: “These studies suggest that GPT-4 is used in healthcare for clinical emergencies, measuring blood flow, and improving mental health, as well as being a useful tool in various medical procedures and training healthcare providers.” Which is totally useless, as based on the listed studies, it could not differentiate between GPT-4 and liver enzyme GPT.\u003C\u002Fp>\n\n\n\n\u003Cp>All in all, consensus at this moment won’t be able to answer a question that you don’t already know the answer to, but I like the idea. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_351-01-768x432.png\" alt=\"\" class=\"wp-image-48997\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_351-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_351-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_351-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_351-01.png 1800w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"http:\u002F\u002FScite.ai\" target=\"_blank\" rel=\"noreferrer noopener\">Scite.ai\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>This startup based in Brooklyn introduces a fresh approach to research with Smart Citations, helping researchers understand the context and the evidence provided by the cited article. It has a record of 1.2 billion citation statements extracted and analyzed from 180 million articles, book chapters, preprints, and datasets. Features like Search Citation Statements, Journals & Institution Metrics, and the option to create a personalised dashboard can prove to be useful for researchers.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"http:\u002F\u002FElicit.org\" target=\"_blank\" rel=\"noreferrer noopener\">Elicit.org\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>Elicit is an AI-powered research assistant, which promises to help automate certain research workflows. The major workflow is the Literature Review, which helps to find relevant papers, summarize key information, and extract vital details. In theory, it is able to find relevant papers without a perfect keyword match, create summaries from abstracts specific to your query, and examine the citation graph to find more relevant papers. \u003C\u002Fp>\n\n\n\n\u003Cp>The platform also allows you to customise what you see about the paper and organize papers by that information. Although it is an early-stage product with some limitations, the tool’s updates and improvements are ongoing, suggesting a promising future.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">We are not quite there yet, but progress is ongoing\u003C\u002Fh2>\n\n\n\n\u003Cp>As you see, there are so many apps out there for a growing variety of purposes. At the moment they all have serious limitations and using them in medical work requires caution (or is impossible in many cases). However, we are just witnessing a revolution and I’m sure these tools will eventually mature enough to become highly useful and reliable colleagues. \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>The large language model ecosystem is expanding rapidly, with dozens or perhaps hundreds of alternatives. So, let’s explore some other intriguing options out there!\u003C\u002Fp>\n",6,51297,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[34,35,36,37,38,39],134,144,207,7741,7807,7809,[41],950,[],[44,45,46,47,48,49,50,51],1833,2693,3111,3479,3579,3585,4525,1683,[53,14,54,55,56,57,58,59,60,61,62,63,64,65,66,67],"post-51259","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-digital-health","tag-large-language-models","tag-gpt-in-healthcare","tag-chatgpt-in-healthcare","project_category-medical-professionals",{"id":24,"alt_text":69,"caption":27,"description":69,"media_type":70,"media_details":71,"post":5,"source_url":104},"TMF, ChatGPT alternatives","image",{"width":72,"height":73,"file":74,"filesize":75,"sizes":76,"image_meta":102},1920,1080,"2023\u002F06\u002Ftmf_article_371.png",261140,{"medium":77,"large":84,"thumbnail":90,"medium_large":95,"1536x1536":96},{"file":78,"width":79,"height":80,"mime-type":81,"filesize":82,"source_url":83},"tmf_article_371-370x208.png","370","208","image\u002Fpng","41572","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_371-370x208.png",{"file":85,"width":86,"height":87,"mime-type":81,"filesize":88,"source_url":89},"tmf_article_371-768x432.png","768","432","114066","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_371-768x432.png",{"file":91,"width":92,"height":92,"mime-type":81,"filesize":93,"source_url":94},"tmf_article_371-150x150.png","150","17135","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_371-150x150.png",{"file":85,"width":86,"height":87,"mime-type":81,"filesize":88,"source_url":89},{"file":97,"width":98,"height":99,"mime-type":81,"filesize":100,"source_url":101},"tmf_article_371-1536x864.png","1536","864","291792","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_371-1536x864.png",{"aperture":103,"credit":27,"camera":27,"caption":27,"created_timestamp":103,"copyright":27,"focal_length":103,"iso":103,"shutter_speed":103,"title":27,"orientation":103},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_371.png",{"cta_type":106,"cta_color":27,"related_books":107,"related_posts_footer":111,"related_posts":20,"subtitle":27,"key_takeaways":20},"subscribe",[108,109,110],24762,24764,24761,[112,113,114],50859,47785,47975,{"yoast_wpseo_title":116,"yoast_wpseo_metadesc":117,"yoast_wpseo_canonical":15},"ChatGPT Alternatives For Healthcare And Research - The Medical Futurist","The large language model ecosystem is expanding rapidly, let's see a handful of ChatGPT alternatives, designed to help you out with various tasks.",{"self":119,"collection":125,"about":128,"author":131,"replies":134,"version-history":137,"predecessor-version":141,"wp:featuredmedia":145,"wp:attachment":148,"wp:term":151,"curies":167},[120],{"href":121,"targetHints":122},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51259",{"allow":123},[124],"GET",[126],{"href":127},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[129],{"href":130},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[132],{"embeddable":26,"href":133},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[135],{"embeddable":26,"href":136},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=51259",[138],{"count":139,"href":140},8,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51259\u002Frevisions",[142],{"id":143,"href":144},51305,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51259\u002Frevisions\u002F51305",[146],{"embeddable":26,"href":147},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F51297",[149],{"href":150},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=51259",[152,155,158,161,164],{"taxonomy":153,"embeddable":26,"href":154},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=51259",{"taxonomy":156,"embeddable":26,"href":157},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=51259",{"taxonomy":159,"embeddable":26,"href":160},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=51259",{"taxonomy":162,"embeddable":26,"href":163},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=51259",{"taxonomy":165,"embeddable":26,"href":166},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=51259",[168],{"name":169,"href":170,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[172],{"id":114,"date":173,"date_gmt":174,"guid":175,"modified":177,"modified_gmt":178,"slug":179,"status":13,"type":14,"link":180,"title":181,"content":183,"excerpt":185,"author":23,"featured_media":187,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":188,"categories":189,"tags":190,"project_category":194,"contact_email_category":196,"yst_prominent_words":197,"class_list":203,"better_featured_image":209,"acf":239,"yoast_meta":246,"_links":249},"2022-11-15T10:00:00","2022-11-15T09:00:00",{"rendered":176},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=47975&_wpnonce=9edddd52c8&status=auto-draft&type=post","2022-11-15T11:32:53","2022-11-15T10:32:53","danger-alert-ai-is-writing-content-but-its-lying-let-us-show-you-how","https:\u002F\u002Fmedicalfuturist.com\u002Fdanger-alert-ai-is-writing-content-but-its-lying-let-us-show-you-how",{"rendered":182},"Danger Alert: AI Is Writing Content, But It’s Lying – Let Us Show You How",{"rendered":184,"protected":20},"\n\u003Cp>There is a growing number of AI text generators around the web, offering more or less the same. \u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\u003Cli>You give a brief of your planned content and maybe some keywords\u003C\u002Fli>\u003Cli>Set the parameters, like the language, the tone of the text and the creativity level\u003C\u002Fli>\u003Cli>Hit enter\u003C\u002Fli>\u003Cli>Voila, you get your blog post\u002Farticle\u002Fmarketing copy\u002Fwhatever\u003C\u002Fli>\u003C\u002Fol>\n\n\n\n\u003Cp>Isn’t it amazing? Writing a good text takes effort, so outsourcing it to AI could save us a ton of time in researching and crafting content. \u003C\u002Fp>\n\n\n\n\u003Cp>Before you quickly lay off all your writers, let me show through a few examples of why trusting A.I. with content is dangerous as of now. TLDR spoiler: it is lying. All right, confabulating. Using alternative facts. \u003C\u002Fp>\n\n\n\n\u003Cp>We tested the most popular AI text generator tools, choosing a medical topic, where it is clear how these fabricated “facts” can be extremely dangerous. The topic pick was a recent breakthrough, where the number of publications is yet limited, so it is relatively easy to fact-check the AI-generated outputs. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-768x432.png\" alt=\"AI text generators might end up in healthcare\" class=\"wp-image-30867\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Is this a real doctor or an algorithm?  \u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>We tried the five AI text generators that were most often recommended on professional-looking sites. Where there was an option, we both tested the “factual’ and the “optimal” creativity setting. The results haven’t really differed. \u003C\u002Fp>\n\n\n\n\u003Cp>We tested: \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>Simplified\u003C\u002Fli>\u003Cli>Rytr\u003C\u002Fli>\u003Cli>Smart Copy\u003C\u002Fli>\u003Cli>Copy.ai\u003C\u002Fli>\u003Cli>Contentbot.ai\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cp>As the outputs of the five solutions highlighted very similar flaws (and dangers), let’s stick with three examples, for the sake of keeping the article within a reasonable length. Trust me, the rest didn’t do any better.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">The topic: \u003C\u002Fh3>\n\n\n\n\u003Cp>We went with this \u003Ca href=\"https:\u002F\u002Fwww.bbc.com\u002Fnews\u002Fhealth-63513330\" target=\"_blank\" rel=\"noreferrer noopener\">relatively recent announcement\u003C\u002Fa>: a few days ago UK researchers transplanted lab-grown blood into human patients in a world-first trial. So the brief was this: “Lab-grown blood transplanted into humans”.\u003C\u002Fp>\n\n\n\n\u003Cp>The main facts of the original article (and the breakthrough) are this:\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\u003Cli>A UK research team transplanted lab-grown blood in very small amounts (5-10ml) into two healthy patients\u003C\u002Fli>\u003Cli>The trial seems to have gone well\u003C\u002Fli>\u003Cli>The team used stem cells to grow them into red blood cells\u003C\u002Fli>\u003C\u002Fol>\n\n\n\n\u003Cp>And let’s see what the content generator algorithms came up with. In all the generated texts we will \u003Cstrong>bold the sections \u003C\u002Fstrong>that have nothing to do with the actual facts. These are things AI just produced. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Simplified – AI text generator:\u003C\u002Fh3>\n\n\n\n\u003Cp>“In a world first, laboratory-grown blood cells have been transplanted into a human patient. The groundbreaking procedure, which was conducted at Addenbrooke’s Hospital in Cambridge, could help to pave the way for new treatments for blood disorders.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>The patient, who\u003C\u002Fstrong> has not been named, \u003Cstrong>suffered from beta thalassemia\u003C\u002Fstrong>, a condition that results in the production of abnormal red blood cells. \u003Cstrong>In order to treat the condition, the patient underwent a procedure in which laboratory-grown blood cells were injected into their bloodstream.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>This is the first time that lab-grown blood cells have been used to treat a human patient, and it represents a significant milestone in the field of regenerative medicine. With further research and development, it is hoped that this technique could be used to treat a range of other blood disorders.\u003C\u002Fp>\n\n\n\n\u003Cp>The \u003Cstrong>Australian team is now working on expanding the clinical trials to include more patients. \u003C\u002Fstrong>If all goes well, we may see lab-grown blood become a regular treatment for blood disorders in the not-too-distant future.”\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What is wrong with it?\u003C\u002Fh3>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>According to the original article, researchers transplanted the blood into two healthy individuals\u003C\u002Fli>\u003Cli>Although beta thalassemia is indeed a serious disorder and is connected to blood cells, it has nothing to do with the lab-grown blood transplantation\u003C\u002Fli>\u003Cli>Not to mention how Australia ended up in the text, as the trial took place in the UK\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-768x432.png\" alt=\"\" class=\"wp-image-32755\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Rytr – AI text generator:\u003C\u002Fh3>\n\n\n\n\u003Cp>“Blood transfusions are not a new invention. In fact, the first successful blood transfusion was done in 1667 by Jean-Baptiste Denis. However, we now have a new type of blood transfusion that is being tested on humans: lab-grown blood.\u003C\u002Fp>\n\n\n\n\u003Cp>Lab-grown blood is created using stem cells and it is possible to produce large quantities of this type of blood without any risk to the donor. The research on this topic has been going on for a while and there are many trials being run.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>In 2016, the first human trial was successfully completed by the Japanese company Kaneka Corporation with Dr. Takanori Takebe as their lead researcher. They used lab-grown erythrocytes in patients with thalassemia major and it proved successful in reducing their need for regular transfusions from one per week to one per three months or even less often than that!”\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What is wrong with it?\u003C\u002Fh3>\n\n\n\n\u003Cp>Well, mostly everything. \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>Although there is a Japanese company called Kaneka, it doesn’t have much to do with healthcare and nothing with dr. Takanori Takebe (as long as Google can be trusted to find a connection between them)\u003C\u002Fli>\u003Cli>There is a Dr Takanori Takebe, but although I researched for a while, he never seems to have published anything related to erythrocytes\u003C\u002Fli>\u003Cli>Then again, we have thalassemia major\u003C\u002Fli>\u003Cli>And the completely fake claim that there was a procedure that successfully reduced thalassemia patients’ need for regular transfusions from one per week to one every 3 months\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Copy.ai – AI text generator:\u003C\u002Fh3>\n\n\n\n\u003Cp>“Scientists are trying to figure out how to make more blood, and they think they might have found a solution. In a recent trial, researchers gave lab-grown blood cells \u003Cstrong>to people who had lost too much of their own blood. The results were mixed: some patients did well with the cells, but others died because the transplant didn’t work properly. \u003C\u002Fstrong>This research is still in its early stages, so we don’t know what will happen if it’s tried again with more patients or other kinds of stem cells. Still, it’s exciting because \u003Cstrong>it shows that scientists are making progress towards curing serious diseases like sickle cell anemia \u003C\u002Fstrong>by using stem cells as treatments rather than just research tools!\u003C\u002Fp>\n\n\n\n\u003Cp>[here the text generator added some fascinating and completely unrelated paragraphs I skip for now to get to the point of the “article”]\u003C\u002Fp>\n\n\n\n\u003Cp>The patient received the lab-grown blood transfusion on\u003Cstrong> March 11th at the University of Minnesota Medical Center\u003C\u002Fstrong>. The goal was to see if this approach could be used as a way to safely deliver red blood cells to patients with blood disorders, like sickle cell disease or thalassemia, who need transfusions but for whom donated blood is not an option.\u003C\u002Fp>\n\n\n\n\u003Cp>The trial was successful in that it showed that lab-grown cells can be made into mature red blood cells and then used effectively by patients. But it didn’t go exactly as planned: \u003Cstrong>The patient developed an infection after receiving his transfusion, which is not uncommon for this type of procedure (many other trials have shown similar complications). That infection cleared up with treatment from antibiotics and antiviral drugs. Now he’s doing well and looking forward to going back home from the hospital later this week.”\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What is wrong with it?\u003C\u002Fh3>\n\n\n\n\u003Cp>That is a long list. \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>There were no trial participants who lost too much blood\u003C\u002Fli>\u003Cli>No one died \u003C\u002Fli>\u003Cli>The research on lab-grown blood is just in too early a phase to conclude they made progress towards curing sickle cell anaemia \u003C\u002Fli>\u003Cli>The date and the location are fabricated \u003C\u002Fli>\u003Cli>Luckily, by the end of the article, the patient recovered from dying but required all kinds of treatments  \u003C\u002Fli>\u003Cli>And of course, as the patient is non-existent, they can hardly have said they are looking forward to going home from the hospital\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-768x432.png\" alt=\"\" class=\"wp-image-32629\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What if synthetic healthcare workers will fill the gaps with alternative facts?\u003C\u002Fh3>\n\n\n\n\u003Cp>As synthetic media and AI content generation starts to become a thing, we better learn the limitations of these tools. Although creating beauty listicles with AI to make your job easy is not nice (Top 12 skin care tips for dry skin in the winter – anyone?), it will hopefully not endanger others. Although, I’m not even sure about that.\u003C\u002Fp>\n\n\n\n\u003Cp>But as we have seen, AI- creates trustworthy-looking texts about healthcare topics (and about finances, and so many other things) that are just not factual. \u003C\u002Fp>\n\n\n\n\u003Cp>There is so much talk about how synthetic media will enter healthcare and how algorithms will become our new colleagues. And that is fine if we talk about artificial narrow intelligence – chatbots that are trained to assist users in well-defined topics with a pre-set batch of information. \u003C\u002Fp>\n\n\n\n\u003Cp>But imagine such AI algorithms stepping in and answering people’s questions about the latest treatments. \u003C\u002Fp>\n\n\n\n\u003Cp>It comes up with false claims – how lab-grown blood has cured leukaemia and beta-thalassemia patients, it creates connections between companies and researchers and research topics that were never connected. \u003C\u002Fp>\n\n\n\n\u003Cp>I have no illusions. AI content generation WILL soon become pretty mainstream. We soon will be flooded with even more fake info than ever before. We all need to learn – or reinforce our habits – to check the sources of information. Beware, my friends. AI is here, it is generating content, and it is lying. The more you know about it, the better you will be prepared to not trust everything you read. \u003C\u002Fp>\n",{"rendered":186,"protected":20},"\u003Cp>Before you quickly lay off all your writers, let me show through a few examples of why trusting AI with content is dangerous as of now. TLDR spoiler: it is lying.  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TLDR: beware of AI, it's 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