Your Earphones And Headphones As Health And Medical Devices – This And More News In Digital Health This Week
Bertalan Meskó, MD, PhD
The Medical Futurist, Author of Your Map to the Future, Global Keynote Speaker, and Futurist Researcher
It was astonishing to see how US-dependent the whole digital health scene is. As the Thanksgiving weekend got closer, there was almost no announcement or news article in the domain. We all took a little break.?
Still, a video demonstrating a "Lung Disease Detection" tool that can classify X-rays into high-, low-, or no-pneumonia categories while highlighting affected areas made me wonder:
Is it better when AI makes a clear diagnosis based on the vast databases it has been trained on, or is it better just to highlight an area and provide an assessment (a probability or the right answer)?
I hope you will find the newsletter useful!
YOUR EARPHONES AND HEADPHONES AS HEALTH AND MEDICAL DEVICES
Recently, a new trend has been emerging: adapting headphones as digital health tools.
These common entertainment accessories hold the promise to increase access to hearing health or even provide general health tracking akin to smartwatches.
10 PROMISING HEALTHCARE TECHNOLOGIES - NEW VIDEO
We have constantly been exploring what the future of healthcare holds for medical professionals and patients alike for years.
With the rate of technological development, what were promising concepts a couple of years ago are now real options in healthcare practice.
TECHNOLOGIES SHAPING THE FUTURE OF PHARMA - EBOOK
This book explains how disruptive technologies and emerging trends such as robotics, artificial intelligence, 3D printing, precision medicine or patient design will impact the manufacturing and distribution of pharmaceuticals in order to prepare successfully for a better future of healthcare.
APPLE'S GREATEST CONTRIBUTION TO HUMANKIND IS IN HEALTH?
Apple CEO Tim Cook said this: "If you zoom out many years into the future, and you ask what was Apple's greatest contribution to humankind. It would be in health."
领英推荐
First of all, this technique is called backcasting: you do mental time travel into the future, choose an endpoint and then reverse engineer the steps needed to reach that from today. Second, do you agree with him? Shouldn't we already experience a healthcare revolution due to Apple's innovations to reach that goal? Isn't Apple's products too expensive and streamlined to make it happen?
TOP 10 RESEARCH TOPICS TO PURSUE IN DIGITAL HEALTH
There are countless research topics that could and should be addressed. In no way, we can cover them all in this article.
However, we hope we could provide examples of possible directions for meaningful research projects.
HELPING EVERYONE BUILD AI FOR HEALTHCARE APPLICATIONS WITH OPEN FOUNDATION MODELS
Google introducing Health AI Developer Foundations (HAI-DEF) is a game-changer for healthcare AI innovation! It provides open-weight models and resources to help developers build healthcare AI tools faster and more efficiently.
The initial focus is on imaging applications in radiology, dermatology, and pathology, with models pre-trained on large, diverse datasets for powerful performance. Whether it's chest X-rays, skin conditions, or pathology slides, these models offer a robust starting point for creating AI solutions with minimal additional data and compute.
KOREAN AI PREDICTS MOOD EPISODES USING SLEEP-WAKE DATA
Now researchers from South Korea built machine learning-based models that can predict mood episodes using only sleep and circadian rhythm data from wearable devices. The models achieved 80%, 98%, and 95% accuracy in predicting depressive, manic, and hypomanic episodes, respectively.
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MORE NEWS ABOUT THE FUTURE OF MEDICINE
GRATEFUL – ?This year, be thankful for AI in medicine
Investing in Health & Biotech @ PsyMed Ventures
2 个月If AI provides a probability score, I imagine that treatment algorithms (implemented within the healthcare system) would end up including a probability cutoff score to determine treatment selection or diagnostics, etc. So AI does work up, evaluation, and suggestion, then physician refers to human made treatment algorithm, and implements solution stated in algorithm. I don't see a way where AI won't lead to near total automation of clinical decision making for the majority of diseases.
Healthcare Business Consultant for Startup and Business Development. Healthcare Market Researcher. K-NIC (METI) Advisor/Mentor, MHLW Monitor. VC Advisor/Mentor.
2 个月Earphones are good tool much better than Helmet for EEG.
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2 个月I agree