The Medical AI Podcast

Vince Hartman, CEO of Abstractive Health, discusses how AI systems can reduce physician burnout by summarizing clinical charts. They explore the impact of overloaded physicians on patient care and revenue loss. The podcast also covers advancements in AI technology for primary care physicians, compares AI models to chat GPT, and examines the challenges in developing AI systems for medical summarization.

Episode 30: The Real World Deployment of Medical AI, with Louis Culot, Head of Innovation Capabilities for Philips Healthcare

Episode 29: AI for monitoring hospital patients, with Narinder Singh, CEO at LookDeep Health Can AI systems provide ways of monitoring hospital patients? This innovative idea is being implemented in some American hospitals. With Narinder Singh, CEO at LookDeep Health.

Personalised medicine has been promised as a coming revolution in healthcare. The concept goes all the way back to Hippocrates, around 400 years BC, but it is still very rare in clinical practice. Machine learning has been described as the key technology for personalised medicine - so are we finally about to see this revolution storming the gates? Discussing this with Felix is one of the key figures in this area, Richard Dobson, Professor of Medical Informatics at the Institute of Psychiatry, Psychology & Neuroscience, and Professor of Biomedical and Health Informatics at the Institute of Health Informatics, University College London.

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.