All 521 FDA-Approved AI-Based Medical Technologies Analyzed – This And More News In Digital Health This Week
Bertalan Meskó, MD, PhD
Director of The Medical Futurist Institute (Keynote Speaker, Researcher, Author & Futurist)
Last week's live Q&A session was all about the hype cycle of digital health technologies. If you weren't able to join us, don't worry – you can still catch up on the conversation by rewatching the YouTube video .
On another note, you might have noticed a recent surge in doomsday AI scenarios making headlines. While it's essential to be cautious and critical about the development of artificial intelligence, there's no need to start digging our graves just yet. In fact, I'm working on a new video to explain why I remain optimistic about the future of AI in healthcare. Stay tuned!
I first started analyzing FDA-approved, AI-based medical technologies quite a few years ago, a while before the regulatory body first published such a database. This new infographic is based on the current list and displays the medical fields, types of submissions, and final decision dates all in one place.
One interesting finding is that 510k submissions were by far the most popular. This may be due to their relative ease, but it's also worth noting that the field of radiology is currently experiencing a surge in AI-based technology ideas.
Here is a short video demonstrating what an AI-based system could do with unstructured medical records. These solutions will truly shine when going through hundreds or potentially, thousands of pages - and make sense of them in a blink of an eye.
Just imagine this, a new patient arrives and brings their whatever-long PDF that contains different forms of medical records, hand-written notes, summaries, lab results, and more, and an algorithm structures it for you.
This course provides an overview of the current applications and potential future uses of AI in medicine & healthcare. Through a combination of lectures and hands-on projects, you will gain a clear understanding of this breakthrough technology.
Just come as you are, this is not a hardcore tech course, no coding experience or technical knowledge is required.
In the past few weeks, there has been some noteworthy progress in ChatGPT, and especially in GPT-4.
GPT-4 is orders of magnitude better than ChatGPT already, so it's time to discuss what it could bring to the table in medicine and healthcare and what we can expect from future iterations.
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As artificial intelligence tools have been invading more or less every area of healthcare, we made a list to keep track of the top AI algorithms aiming for better diagnostics, more sophisticated patient care or further sighted predictions of diseases.
From algorithms spotting DNA mutations in tumors to predicting heart attacks, from sepsis watch to cancer screening these algorithms are already pulling their weights.
Bloomberg reported the tech giant's plan to create an AI-powered health coaching service (codename "Quartz").
It would use data from Apple Watch to monitor sleep patterns, exercise routines, diet, and emotions and suggest personalized lifestyle changes based on the AI's analysis. Apple also plans to develop the ability to monitor blood pressure and glucose levels directly through Apple Watches.
Based on a recent analysis I shared with you , medical specialties with many creative tasks that are quite interaction-based will not be prone to automation. That is why it's surprising that companies are experimenting with ChatGPT in mental health treatments.
A working model could offer services where paid subscribers can access an AI chatbot but are also routed to a human therapist if their queries escalate.
MORE NEWS ABOUT THE FUTURE OF MEDICINE
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PROMPT ENGINEERS – Congress gets 40 ChatGPT Plus licenses to start experimenting with generative AI
Digital Public Health Specialist
1yFor most African hospital's medical records department, the AI solution will be a dream come true. The thought of moving from paper based to electronic or digital system is a daunting one, as migration of paper records by scanning and archiving has a lot of challenges. Most decide to start from a clean slate when implementing an electronic patient record, leaving all historical medical records on paper. Not ideal for continuity of patient care. I think AI is bringing a whole lot of opportunities to resolve some of these challenges. We are living in interesting times, and I am looking forward to witnessing these solutions within the health care space. It is also interesting to observe or predict the kind of challenges AI technologies will introduce in the health care space. 😊
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1ySome good stuff in there Bertalan Meskó, MD, PhD
Dr. med., F.A.C.C.
1yWhat is still missing in so-caked “digital healthcare†is to ge a portable and pocket-sized …initial screening tool!!! enabling every general practitioner to obtain a 3 min ….isometric stress test for geting the .. diastolic left ventricular (LVfunction abnormalities ocuring early on myocardial diseases and are of great amplitude in presence of inducible ischemia (s. our over 70 publications in US journals in last decades). I would be willing to present my data at your place and ev. if you wish help you in conjunction of a firm’s technician incorporating my software in one of your devices… Bests Dr med Jan Manolas, Cardiologist Athens-GR Bests Jan Manila’s, MD diastolicstresstest@gmail.com Athens-GR Mob. Tel. 6936718444
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1yThanks for Sharing.