Allowing home-centered geriatric care I was delighted to read [a scientific paper]( that goes beyond just detailing a complex topic and encourages us to broaden our horizons, imagine what the future of elderly care could hold and define our roles in shaping it. We've also been busy last week and covered many bases of the AI-in-healthcare arena. From discussing how to regulate large language models to best serve medicine, to why AI is not likely to kill creativity and also published a video with 3 futuristic scenarios about future healthcare from picture-perfect to pessimistic. I hope you will find the newsletter useful! Best regards,
Berci Bertalan Meskó, PhD
The Medical Futurist [DIGITAL HEALTH FOR AGING POPULATIONS]( --------------------------------------------------------------- "A vision of future home-centered geriatric care, powered by digital technologies and devices. A network of internet-connected sensors on the body and distributed around the home, monitors the health conditions of older adults and transmits rich dynamic data to cloud servers. The data are then analyzed by machine learning algorithms to coordinate with the remote caregiver and with autonomous wearable therapeutic devices toward optimal health care." These technologies aren't here to replace the human touch, but to offer a sense of relief, to extend caregivers' reach and enhance their care when they can't be physically present. [READ MORE]( WHY DO I THINK IT'S IMPORTANT? Societies are getting older, and taking care of our elderly is a significant challenge. Allowing them to safely stay independent in their own homes - and making sure we are instantly aware of any emergencies - improves the quality of life for everyone involved. [HOW TO REGULATE CHATGPT-LIKE LARGE LANGUAGE MODELS IN HEALTHCARE?]( --------------------------------------------------------------- Large Language Models, like ChatGPT, Bard or MedPaLM bring about unprecedented potential and challenges in healthcare and require a unique regulatory framework. The frameworks will need to make a distinction between LLMs specifically trained on medical data and LLMs trained for non-medical purposes. [READ MORE]( WHY DO I THINK IT'S IMPORTANT? Our [latest paper published in Nature’s npj Digital Medicine]( “The Imperative for Regulatory Oversight of Large Language Models (or Generative AI) in Healthcare” published with Dr Eric Topol analysed the challenges and the possibilities of LLM regulations to make them accessible for healthcare use. [WELCOME TO THE DIGITAL HEALTH ERA]( --------------------------------------------------------------- With 55 lessons and 2.5 hours of video content, we packed all essential digital health knowledge into this course. This structured program guides you from the basics to advanced forecasting techniques. You will learn how to recognize incoming trends, how to separate hype from meaning and how healthcare will change in the coming decades. [ENROLL HERE]( [GOOGLE'S MEDICAL LLM PROVES INCREASING ACCURACY]( --------------------------------------------------------------- A new study published in Nature revealed that Google's medical large language model (LLM) answered medically related questions with 92.6% accuracy. "Answers were then put through human evaluations to assess comprehension, reasoning, factuality, and possible harm and bias. Flan-PaLM (its instruction-tuned variant) answers were also rated as potentially leading to harmful outcomes 29.7% of the time compared to 5.9% of the time for Med-PaLM. The inaccuracy of clinician-generated answers was similar to Med-PaLM at 5.7%." [READ MORE]( WHY IT'S IMPORTANT? I'm pretty sure many of us cannot wait to start testing Med-PaLM (a 540-billion parameter LLM!). [THE 3 SCENARIOS FOR AI IN HEALTHCARE]( --------------------------------------------------------------- In this video, I explain 3 different scenarios for AI in healthcare. One is the total dream situation (if everything goes perfectly), one is a still optimistic scenario, and one is a pessimistic one - others might call it the realistic one. Which one do you think will come true? [WATCH THE VIDEO]( WHY IT'S IMPORTANT? Regularly spending time in the future makes us more prepared and resilient. [NO, AI WON’T KILL CREATIVITY]( --------------------------------------------------------------- AI will take some jobs and will be able to do many "white collar" tasks instead of humans. But more creative humans will use AI more creatively, maintaining their edge. The rapid development of generative AI is impressive, and yes, we need to adapt, but at the moment on its own, it only replaces sub-par creative professionals. [READ MORE]( WHY DO I THINK IT'S IMPORTANT? We need to prepare to how AI will transform our professional fields, should it be medicine, arts or education, and how we can make the most of it by learning the new ways. [THE EVOLUTION OF ROBOTS SINCE 1983]( ---------------------------------------------------------------
The evolution of the products of Boston Dynamics between 1983 and today. These robots used to be bulky and funny looking. We used to laugh the robot dog for its awkward movements. But through the resilience of scientists, we will get working, maybe even humanoid robots soon to take over repetitive tasks, and tasks that are dangerous to human lives. Kudos to them. [READ MORE]( MORE NEWS ABOUT THE FUTURE OF MEDICINE --------------------------------------------------------------- JEDI BUSINESS – [Amazon to launch pay-by-palm technology at all Whole Foods stores by year-end]( PHISHING ATTACKS – [AI not yet a game-changer for healthcare hackers]( SILLY REPORTING – [AI to predict your health later in life — all at the press of a button]( SKEPTIC OR FAN? – [A GPT-4 Capability Forecasting Challenge]( [color-forwardtofriend-48.png](mailto:berci@medicalfuturist.com) [color-facebook-48.png]( [color-youtube-48.png]( [color-linkedin-48.png]( [color-twitter-48.png]( [color-instagram-48.png]( © The Medical Futurist 2023 This email was sent to {EMAIL}
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