Medical practices that don’t adopt AI will be left behind

Ramin Rafie, M.D. did a brilliant overview of the state of AI in medicine at a recent international conference, including advances and challenges:




During minute 18 of his talk, Dr. Rafie quoted another exceptional doctor, Dr. Bertalan Mesko, “The Medical Futurist”, who said, “A.I. will not replace medical professionals.  However, those medical professionals who use A.I. will replace those who don’t.


We believe at a minimum those medical providers and practice owners who don’t want to be left behind may want to learn of advantages and challenges of adopting a new technology in your practice, from research and publications by Dr. Rafie, Dr. Mesko, as well as WellAI researchers.


There were several important points mentioned by Dr. Rafie in his talk that resonate so well with our work at WellAI:


🎯 WellAI is the only organization that absorbs medical knowledge of 200 to 1000 peer-reviewed studies per day, summarizes them and makes medical terms from different articles interoperable.


🎯 WellAI has made advances in Remote Patient Monitoring (RPM).  WellAI is a communication / screening device, not a wearable device. But our APIs are sophisticated to work with wearables and health apps.


🎯 WellAI works with the EMR companies on intelligence-based medicine and initial triage.


🎯 WellAI’s triage is using voice-recognition software, which is not WellAI’s native software but it’s being improved daily by a team of physicians and researchers.


🎯 Ethics in AI (a Q&A question on biases from Dr. Rafie’s talk) is very near and dear to our hearts. WellAI’s researchers have working on an opinion / survey paper on best practices in healthcare AI making our research at WellAI a front-and-center example. One way to address a gender / race bias problem in AI is to use the “de-biasing” algorithms as advocated by IBM and Microsoft. Another way is to be selective about and attentive to your data. For example, the NIH’s MEDLINE / PubMed dataset does not suffer from the abovementioned biases to the extent a hospital / EMR dataset does. While certainly not completely bias-free, medical studies are to some extent already “cleaned up” as they are vetted by editors and reviewers, as well as by clinicians and statisticians who conduct the study.


The reduction of healthcare inequities is at the heart of WellAI.  WellAI was created with a vision to eliminate the information asymmetry – in particular, WellAI offers access to scientific second-opinion tools to the underprivileged, uninsured, people of low income and those who would like to be self-triaged before going to the doctor’s office. WellAI’s applications are easily deployed across many different populations – all that is needed is a smartphone or browser. The application puts sophisticated diagnostic validation in the hands of even the most remote patients and enables them to have one-click access to providers as and when needed. It can integrate with and enhance remote-patient monitoring (RPM) solutions.


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WellAI Team

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