The Medical AI Podcast

Are there ethical issues with medical AI that are unique? Any major technological development can have huge benefits and huge risks. And medical AI is no different. The benefits of medical AI are talked about endlessly. Much less so the risks. But what are those dangers? The Declaration of Helsinki is widely regarded as the cornerstone of human ⁠research ethics⁠. This a set of ethical principles regarding ⁠human experimentation⁠ developed originally in 1964 for the medical community by the ⁠World Medical Association⁠. The fundamental principle is respect for the individual, his or her right to self-determination and the right to make ⁠informed decisions⁠ regarding participation in research. But what is the support adn the Declaration of Helsinki? Is it for purpose? Or is it actually highly questionable in some circumstances? Joining Felix is Professor Erwin Loh, Chief Medical Officer for St Vincent's Health, Australia’s largest not-for-profit health care provider, Professor at Monash, Melbourne and Macquarie Universities and renowned author on medical AI.

Medical AI might seem like a really new field. For example, the first medical AI product approved by the FDA was done so in only 2017. But does medical AI actually have a history that is far longer and richer than we might think? And are there important lessons to be learnt from that history? Felix discusses with Professor Mark Braunstein, Author of "Health Informatics on FHIR". An author and thought-leader in the field, Dr. Braunstein is a professor of health informatics for the School of Interactive Computing in the College of Computing at the Georgia Institute of Technology where he teaches Introduction to Health Informatics, a popular graduate seminar, both on campus and as part of the OMSCS program. He is involved with HL7 and in various research projects at Georgia Tech, and works with and advises numerous community and industry groups. Original music by Felix Beacher: https://youtu.be/JS93808r-W4

There are many research groups and companies developing excellent products in medical AI. But some succeed and some fail. What is the difference between the two? Felix discusses this with someone who is a real expert in this - Dr Hugh Harvey Managing Director of Hardian Health. Pure gold for anyone interested in developing a strategy for new medical AI products.

Fabian Schoeck, Head of Global Product Management for AI Products at Siemens Healthineers, discusses the potential of AI systems in transforming radiology to meet the rising demand for medical imaging. The podcast explores specific examples of AI applications in radiology, such as detecting breast and prostate cancer, and delves into the future of radiology and the role of human radiologists. Ethical concerns surrounding the increasing use of AI in radiology, including bias and potential discrimination, are also discussed.

GE Healthcare is the market leader in medical AI: it has the largest market shares and the largest number of FDA-approved medical AI products. This includes algorithms for MRI image cleaning, detection of collapsed lungs and diagnosis of breast cancer. So where GE Healthcare is going with medical AI really counts. To discuss this I am joined by Simon Rost, Chief Marketing Officer of GE Healthcare.

Medical ultrasound is now old technology – its first use was in 1941 for detecting brain tumors. However, it is also a technology with a great future and AI is a big part of that evolution. Felix is joined by Dr Yoran Hummel president of Us2.ai to discuss current AI-based innovations for ultrasound imaging.

Dr Felix Beacher, an expert in AI for predicting clinical trials, precision medicine, and drug development, discusses the potential of machine learning to develop tools for precision medicine and revolutionize drug development. Topics include the problems with the current clinical trial system, the role of AI in predicting treatment responses, the challenges of integrating AI workflows into clinical trial processes, and an inexpensive AI approach for diagnosing Parkinson's disease.

Radiology is a classic area of medical AI. AI systems for medical image analysis have several major advantages over human radiologists: 1. They can be trained on millions of scans, far more than a human can be trained on 2. They can give results instantly 3. Many studies indicate that, in many contexts, AI systems are more accurate for disease detection and diagnosis That’s the promise. But what is the reality? Where is the field at? What are the successes and failures? I discuss this with Darren Stephens, Senior Vice President of Qure.ai

Artificial General Intelligence is the ability of an AI system to perform any intellectual task performed by humans. The recently released much-hyped Chat GPT has been described as the first glimmering of AGI. It has passed exams for law, biology, medicine even exams for being a wine sommelier. It is a type of AI system known as a large language model. But what does this mean for healthcare? There may be no one in the world who knows more about this than Dr Harvey Castro. Harvey is a New York-based physician, entrepreneur and author of ChatGPT and Healthcare: The Key To New Future of Medicine.

Episode 18: Future Shock! The Futurology of Medical AI, with Professor Erwin Loh, Chief Medical Officer of St Vincent's Health, Melbourne, Australia          Future Shock is a 1970 book by Alvin Toffler, in which the term "future shock" refers to the idea that the rapid rate of technological and social change leaves people suffering from overwhelming and shattering stress and disorientation.  What does the future of medical AI hold? Will it make you feel shocked? Professor Erwin Loh is one of Australia’s most prominent physicians, Chief Medical Officer for St Vincent's Health, Australia’s largest not-for-profit health care provider. He has published widely on AI, and is a member of the Association of Professional Futurists, as well as Professor at Monash University, University of Melbourne and Macquarie University.