Doctors Are Supercomputers, Current Medical AI Is A Calculator – This And More News In Digital Health This Week
Bertalan Meskó, MD, PhD
Director of The Medical Futurist Institute (Keynote Speaker, Researcher, Author & Futurist)
We are pleased to announce that we have recently conducted a survey focusing on the perceptions and expectations surrounding generative AI and Large Language Models within the healthcare sector. This week, we'll be sharing the results drawn from the insights of 400 healthcare leaders.
This report aims to provide clarity on how medical professionals view the emerging role of AI in healthcare. Whether you're directly involved in the field or simply interested in the implications of these technologies, this research promises valuable insights. Stay tuned for its release.
WHY IT IS IMPORTANT TO UNDERSTAND MULTIMODAL LLMS IN HEALTHCARE?????
The development of multimodal large language models (M-LLMs) is crucial for the future of medicine as they can process and interpret multiple types of data simultaneously, unlike current unimodal AI systems.
This will enable comprehensive analysis in medicine, facilitate communication between healthcare providers and patients speaking different languages, and serve as a central hub for various unimodal AI applications in hospitals.
PHARMA AI READINESS INDEX: WHO’S BEST-POSITIONED FOR THE AI BOOM?
Over the last almost 20 years, I've worked with the top 30 pharma companies globally. But this is the first time I see all those companies in one table ranked by AI readiness.
"CB insights has launched the pharma AI readiness index, ranking the 50 largest pharmaceutical companies in the Americas and Europe by market cap, based on their demonstrated ability to attract top AI talent, execute AI projects, and innovate through R&D and investments."
OUR NEW EBOOK: GENERATIVE AI IN HEALTHCARE - THE CHATGPT REVOLUTION
Medical professionals don’t need to become data scientists or deep learning experts, but they need a “scientific understanding” of how to use AI, what it’s good for, and for what purposes we can expect AI assistance.
Generative AI will transform healthcare. This book will equip you with the working knowledge to make the most (and best) of this revolution and benefit from it in your medical profession.
10 WAYS TECHNOLOGY IS CHANGING HEALTHCARE
The future of healthcare is shaping up in front of our very eyes with advances in digital healthcare technologies, such as artificial intelligence, VR/AR, 3D-printing, robotics, or nanotechnology. We have to familiarize ourselves with the latest developments in order to be able to control technology and not the other way around.
Here are 10 groundbreaking technologies that will strongly determine how medicine will be practiced in the future.
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DIGITAL HEALTH IN THE WHO EUROPE REGION - 2023 REPORT
Here is the final report of a 2022 survey on Digital Health in the WHO European Region. Some findings I found interesting as someone finally measured it are:
83 % of reporting Member States (44 out of 53) have a national digital health policy or strategy. 77% reported having established a national government agency or organization responsible for the monitoring of the adoption and use of digital health and use telemedicine or remote patient monitoring. Check out the full report!
BEST PRACTICES FOR USING AI TOOLS AS AN AUTHOR, PEER REVIEWER, OR EDITOR
Gunther Eysenbach and his team at JMIR Publications just released a very important paper!
Many interesting points were raised, here is one. If an author does not use AI to generate any portions of a submitted manuscript, it would be appropriate for the author also to provide a pertinent attestation in their cover letter on submission.
NEW HYPE? HOW TO GET THE AI HEALTH FILTER ON TIKTOK
"TikTok is no stranger to viral trends, and the latest one to pop off is the ‘AI health’ filter, as it uses artificial intelligence to transform your appearance into various forms, from cool statues to mermaids and beyond."
Many TikTok users claimed that the mythical forms they’re transformed into represent an illness or condition they have! My guess about how it works would be that it simply bases its implications on all the data it can gather about the user while they are using the app.
MORE NEWS ABOUT THE FUTURE OF MEDICINE
DOMAIN ADAPTATION – Inside Google's Plans To Fix Healthcare With Generative AI
UNIVERSAL VACCINE – 1st ARPA-H Grant: mRNA-Based Anti-Cancer and Anti-Microbial Vaccine Development