AI can help out humans in medical coding, where healthcare systems struggle with heavy backlogs. Algorithms work tirelessly and accurately.
Health equity through digital health and AI is not a technological matter, but a socioeconomic one that needs to be addressed accordingly.
We set out to analyse the first studies on ChatGPT in the medical field. These cover a range of topics from the technology’s use in medical education to assisting in radiologic decision-making.
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I couldn’t resist the opportunity to have a brand-new digital avatar. Although it has creeped the hell out of my team, I already see good medical use cases.
Healthcare trends hype cycle: showing the 50 of the most promising medical technologies where we at The Medical Futurist see them stand today.
My initial quest for this experiment was to test whether these generators are able to come up with viable-looking product designs for a variety of digital health products. Can we use them to stumble upon brand-new ideas or revolutionary new concepts?
Virtual, augmented and mixed reality all fall under the umbrella term of extended reality, and all are finding their way into healthcare. Let’s get acquainted with those “new realities” through examples.
A brilliant technology for diabetes management which sadly comes with nightmarish regulatory barriers
What can a room do for you? A lot: both patients and medical professionals will have an easier life with these algorithms. Here are the practical applications.
Here is a list of seven technologies I trust will be gaining momentum in 2023 – and will have a significant effect on healthcare in general.
Despite the expectations and advancement of DNA analysis, nutrigenomics still struggles to gain momentum and become a mainstream service used by the masses.
Why is everyone talking about ChatGPT and what can this algorithm do for healthcare workers? We found six potential use cases in medicine.
Controversial doesn’t equal bad/useless. Sometimes it’s just not widely accepted (yet) and so exotic that they can surely provide a unique talking point at any boring Christmas dinner.
Edging towards the end of the year, it is time for a summary of how digital health progressed in 2022.
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. We tested AI text generators with some medical content, and the result is worrysome.
