3 Powerful Real-World A.I. Examples That Are Used by Patients in Healthcare – This And More News In Digital Health This Week
Bertalan Meskó, MD, PhD
Director of The Medical Futurist Institute (Keynote Speaker, Researcher, Author & Futurist)
There is certainly no shortage of research on artificial intelligence, machine and deep learning algorithms these days. Despite the unquestionable buzz, it is challenging to pinpoint examples that actually found their way into everyday medical practice, that became part of “standard” healthcare.
In this article , we discussed three areas that we feel will be the forerunners of the A.I. revolution in medicine, along with four criteria that may be used to predict whether a particular technology will become mainstream in the near future or not.
Skin checking apps, vocal biomarkers and cough analysis are three pioneering areas – these artificial intelligence-based solutions actually found/find their way to standard medical practice.
What makes them unique? They all meet four essential criteria that make their penetration easier.
A man took pictures of his son’s groin to send to a doctor after realizing it was inflamed. The doctor diagnosed his son and prescribed antibiotics. Google’s system identified the pictures as child sexual abuse material (CSAM).
His Gmail and other Google accounts, including his phone service, were disabled over that claim. The San Francisco police department opened an investigation, and although he was cleared of any criminal wrongdoing, Google stands by its decision.
The industry is changing with the speed of light, and the largest tech companies put significant effort (and billions of dollars) to make sure they will have a share in the future of this lucrative sector.
We have been analysing their progress for a long time now. These past two years were not short of big failures (let’s just think of the IBM Watson fiasco) and success stories (like Google/Alphabet and A.I), so it was time for a major update.
This is my first paper as a physician and researcher, published by The Medical Futurist Institute that I co-authored with a patient scholar, Dave deBronkart.
While patient centricity is a passive process, patient design is a proactive process for patients as they can directly influence the C-level of a company or organization.
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Researchers at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai showed that A.I. proved more successful in assessing and diagnosing cardiac function when compared to echocardiogram assessments made by sonographers.
Cardiologists corrected only 16.8% of the initial assessments made by AI and simultaneously corrected 27.2% of the initial assessments made by the sonographers.
"The White House has instructed federal agencies to make publicly funded research freely available immediately after publication, ending a loophole that let journals put it behind a paywall for a year."
According to the new regulations, all “scholarly publications” (peer-reviewed articles, book chapters and conference proceedings) must be formatted in a machine-readable way to be easier searched and catalogued.
The question we most frequently get at The Medical Futurist Institute is easily the one asking for guidance on potential research topics.
In fact, we face it so often that we decided to write a summary of our thoughts to provide an overview and some insights to anyone who is willing to dive deep into digital health but is unsure about the best direction to take.
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Dermatology | Digital Health | Health Policy
2 年Loved these articles! Thankyou
Chair/ Board of Directors/ Investor/ MD PhD
2 年Another excellent article. Especially ?Patient design“ and the understanding that ?Advanced consumer health technologies put unprecedented knowledge in the hands of consumers who had previously been uninformed“. Bloom Diagnostics is a #firstmover. #digitalhealth #transformation