Is “AI” threatening and misunderstood? Absolutely! The term alone – “artificial intelligence” – is a worrisome misrepresentation of an idea that people will become secondary to machines that are able to process vast amounts of data accurately and in a blink. What happens if we realize that artificial intelligence will not transform people’s health or the system – rather it’s the human desire to question, collaborate and generate shared – composite – wisdom that is core to innovation and improved care. We can call upon (human) experience and intelligence to “augment” what we know and apply!
“Culture crushes innovation.” Here, we must not point the finger of blame for the dysfunctional health ecosystem at physicians, nurses and allied health professionals on the hospital floor. Healers want to heal as much as those who need their help seek answers and solutions. The shared problem is not how to utilize this “hot” evolving technology but are we prepared to make the investment in time and training! Time to input (usable) data into EMRs and learning technologies that can sort and “scrape” through and highlight information to accelerate clinical decision-making.
Using AI to Reject Patient Claims and Care
One part of the challenge is understanding how to cognitively maximize and explore vast amounts of information is another. The other is to come to agreement in how AI can and cannot be used ethically and responsibility. As we saw recently, a nascent AI system must not be used by major health insurance companies to deny patients coverage for medicines and procedures.
While the “system” is resistant to significant change and science has become politicized and misunderstood, we must rally to the dual-goal of saving lives and reducing costs. Can information technologies and “intelligent health systems” do what people in power have not achieved? Are we able to educate consumers about being partners in data security? Can information bring people – professionals and consumers – together and transform this country’s post-WWII build health system? Yes!
“AI will always need human backup. A machine could handle certain things autonomously–diagnosing a skin rash, for example. Doctors shouldn’t be dealing with things that machines will do better than them. But serious conditions, like getting a cancer diagnosis, are what doctors should be working on. I think once patients understand that there are things they don’t need doctors to do, they would love it–once they get used to it.”
Many health professionals (and patients) are understandably wary! In one Medscape interview a physician shared this experience:
“We’ve played around with it. It was very early on in AI and we noticed it gave us incorrect information with regards to clinical guidance,” said Monalisa Tailor, MD, an internal medicine physician at Norton Health Care in Louisville, Kentucky. “We decided not to pursue it further,” she said.
Don’t close the door on an evolving technology! Care professionals work within a system that hinges on economics – how the institution is paid and how it must cover costs. What is to be done if the system cannot support the health professional’s efforts or make the best use of their training, abilities, energy and dedication? What will happen as more and more health professionals ghost the provider system that they feel no longer addresses their emotional and economic needs? These are questions that must be addressed sooner than we think! AI is inescapable. It’s an evolutionary process that will improve – improve health professionals and care output – over time.
Perhaps the biggest question is whether we can wait to resolve all these questions while health costs soar and people risk dying from treatable illnesses. We should already know that answer! If you’re living in the question, that’s great. One way to resolve your angst and uncertainty is to follow people – some pioneers and others pundits – who are also asking those questions, doing the necessary research and exploring sensible possibilities.
20 AI/ChatGPT Champions to Follow
It was a challenge to select only 20 influentials for this listing. There countless people writing, speaking and commenting about AI and ChatGPT. It’s a hot topic and “trendy.” This list is not about “trends” and it isn’t an exclusive roster of people. However, these people are key voices of influence at the frontlines of AI and ChatGPT and are boldly considering how the health sector will need to support and adapt to these technologies ethically. It is important to follow their social posts, speeches and writings. They are theorists, physicians and teachers. What they say and where they say it can inform your opinion and direction. Follow them and get smarter faster!
As always, thanks to my friend and Medika Life Founding Editor-in-Chief Dr. Robert Turner, and Cullen Burnell for their encouragement and suggestions, and to Carolyn Neugarten, Medika Life Editorial Assistant for her efforts in making this feature possible, and Tyler Mayers, whose expertise sharing content across social platforms makes important information widely accessible. Special appreciation to colleagues from numerous professional circles who shared their thoughts and contributed recommendations. Special acknowledgement to people who appeared on previous Medika Life Lists and continue on the path to improve the wellbeing of people and planet. These exemplary people are dedicated to improving people’s health and know their efforts will make a difference.
AI and ChatGPT are frightening to some and mysteries to others. Humanity must decide how to best deploy these evolving and “thinking” technologies. What to do next is a mindful choice in the hands of people, and must be for the sake of people.
AI and ChatGPT Global Voices of Influence
Here is our Medika Life roster of 20 people to follow in alphabetical order; all-important voices – to track and learn from in the coming years We have included wherever available links to the social media platforms and bios.
Follow these Voices and Leaders of Influence – They are writing the future of how AI and ChatGPT will be essential to health care delivery.
Ran D. Balicer, MD
Dr. Ran D. Balicer, a public health physician, executive and researcher, serves as Chief Innovation Officer & Deputy-DG at Clalit – Israel’s largest health insurance organization, and is Founding Director of the Clalit Research Institute.
Regina Barzilay, MD
Dr. Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science, and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT).
Kirk Borne, PhD
Dr. Kirk Borne is a Data Scientist, providing thought leadership, global speaking, content creation, mentoring, training, and consulting activities in data science, machine learning, and AI across multiple disciplines.
Atul Butte, MD, PhD
Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF).
Lex Fridman, PhD
Lex Fridman, PhD, is a Russian-American computer scientist, podcaster, and artificial intelligence researcher. He is a research scientist at the Massachusetts Institute of Technology (MIT), and hosts the popular Lex Fridman Podcast, a podcast and YouTube series.
Mo Gawdat, MBA
Mohammad “Mo” Gawdat is an Egyptian entrepreneur and writer. He is the former chief business officer for Google X and author of the bestselling business books Solve for Happy and Scary Smart – The Future of Artificial Intelligence and How You Can Save Our World.
John Halamka, MD, MS
John D. Halamka, M.D., M.S., president of the Mayo Clinic Platform, was trained in emergency medicine and medical informatics, Dr. Halamka has been developing and implementing healthcare information strategy and policy for more than 25 years.
Eric Horvitz, MD
Microsoft’s Chief Scientific Officer and an early AI champion for health and medicine going back many years, Dr. Eric Horvitz is among the founders and funders of Stanford’s 100-year longitudinal study of the impact of AI on Society.
Daniel Kraft, MD
Daniel Kraft, MD, is a Stanford and Harvard-trained physician-scientist, inventor, entrepreneur, and innovator and is serving as the Chair of the XPRIZE Pandemic & Health Alliance. With more than 25 years of experience in clinical practice, biomedical research and health innovation.
A leading AI transformation advisor to health and medical leaders around the world. Lawry is the best-selling author of Hacking Healthcare – How AI and the Intelligent Health Revolution Will Reboot an Ailing System, former Microsoft National Director of AI and now the managing director of Second Century Tech LLC, and partner in Aspire Health Innovations.
Fei-Fei Li, PhD
Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018.
Berci Mesko, MD, PhD
Bertalan Meskó, PhD is known as “The Medical Futurist” and the Director of The Medical Futurist Institute analyzing how science fiction technologies can become a reality in medicine and healthcare. He holds a PhD in genomics and is an Amazon Top 100 author.
Mira Murati is the Chief Technology Officer at OpenAI, and one of the most influential innovators in technology and AI. She oversees efforts to commercialize OpenAI products and improve them through human feedback. She serves on the leadership teams that developed the OpenAI ChatGPT and Dall-E systems.
John Nosta is a cutting-edge thinker in the world of technology, science, medicine and innovation. He is a globally recognized among the foremost voices constantly pushing the envelope on how AI and ChatGPT will transform health settings and work flow. Nosta is non-stop power thinker (and contrarian) and has more than 500 articles published on innovation topics.
Tam C. Nguyen
Associate Professor Tam Nguyen has more than 20 years of working in clinical trials, health and medical research and research management sector including tertiary teaching hospitals, medical research institutes and universities across Australia. He is the co-editor of the recent book: AI in Medicine (Springer).
Ziad Obermeyer, MD
Ziad Obermeyer, MD, is the Blue Cross of California Distinguished Associate Professor of Health Policy and Management. He is a physician and researcher who works at the intersection of machine learning and health.
Brian Roemmele is a scientist, researcher, analyst, connector, thinker and doer. Brian became an early adopter of AI and neural networks and pioneered Prompt Engineering technologies and techniques to understand and extract information from AI platforms.
Mihaela van der Schaar, MD
Mihaela van der Schaar, MD, is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM).
Eric Topol, MD
Eric Topol, MD, is the founder and director of the Scripps Research Translational Institute; Executive Vice President, Scripps Research; Professor, Molecular Medicine, Scripps Research; and the Gary and Mary West Endowed Chair of Innovative Medicine, Scripps Research. In many ways, Dr. Topol was he kindled that started the AI transformation with his more than 1,300 publications and bestselling books.
Dr, Topol appears last – alphabetically – on this Top 20 Voices in AI and ChatGPT to follow. His ideas and prodding the system, perhaps place him first!
Spot a broken link, typo, forgotten degree or name misspelled?
Oops! Apologies! While care has been taken in compiling this list and adding social media links, things go wrong or a name is misspelled or a link broken. Please do get in touch to address typos, amendments, or omissions by reaching email@example.com.
Thanks in advance and be healthy!