Hype and fears surround artificial intelligence taking jobs in healthcare. Will it render physicians obsolete? Will it replace the majority of medical professionals? The Medical Futurist decided to set things straight. Here are five fundamental reasons why A.I. won’t replace doctors and never will.
Mm-hmm, that’s right, Google just stunned the world at I/O 2018 with the new feature of its Google Assistant. CEO, Sundar Pichai replayed an astonishingly natural-sounding conversation recording on stage which he said was a real dialogue between the colleague of a hair salon and the A.I. making an appointment. In a couple of years, it will be common to make doctors’ appointments through A.I. assistants and health chatbots; while our prearranged meeting will be noted down in an electronic calendar by another algorithm. The age of talking algorithms is here!
Silicon Valley-based tech giant, NVIDIA presented its new medical imaging supercomputer, CLARA at the company’s yearly GPU Tech Conference last week. The artificial intelligence-powered platform is able to take even 15-year-old ultrasound images and augment them with visualized, 3D information in order to provide better insight for diagnosticians and advance the process of finding and curing diseases.
IBM’s new patent application about a real-time video censoring system was published end of March, and the thought of coming closer to a Black Mirror-like world lingers in the air. Would it be a useful tool for protecting copy-right content or a scary sci-fi vision coming true where parents withhold disturbing parts of reality from their children?
Exoskeletons will aid pharma factory workers. 3D printing will allow pharmacies to produce drugs on the spot. Blockchain technologies will help fight counterfeit drugs. These are just bits and pieces, but the entire process of the pharmaceutical supply chain will be affected by disruptive technologies. Let me show you a comprehensive overview how innovations will make it more efficient, faster and cheaper than ever before.
Google researchers predicted cardiovascular risk factors not previously thought to be quantifiable in retinal images using artificial intelligence, according to a study published in Nature Biomedical Engineering. Scientists were able to identify risk factors such as age, gender, smoking status, blood pressure and major adverse cardiac events by only looking at the eye.
The potential of artificial intelligence for making healthcare better is indisputable. The question is how to integrate it successfully into our healthcare systems. For doing so, we have to overcome technical, medical limitations, as well as regulatory obstacles, soothe ethical concerns and mitigate the tendency to oversell the technology. The very first step should be to familiarize with what A.I. truly means. In our latest e-book, A Guide to Artificial Intelligence in Healthcare, we summarized everything you need to know, so now, let’s look at the second step: the challenges to overcome!