The Medical AI Podcast

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.

In this episode, Felix sits down with Tom Lawry, the author of "Hacking Healthcare" to discuss the Medical AI and COVID, ChatGPT, big tech and the future. This episode is a must-listen for anyone interested in the intersection of healthcare and AI. Lawry’s insights and expertise provide valuable guidance for healthcare providers, policymakers, and innovators seeking to improve the quality of care through automation and technology. Guest Profile - Tom Lawry Tom Lawry serves as Director of Worldwide Health for Microsoft. In this role he works with providers and life science organizations in planning and implementing innovative analytical solutions that improve the quality and efficiency of health services delivered around the globe. Original music by Felix Beacher: https://youtu.be/JS93808r-W4

Episode 16: Highlights from the European Congress of Radiology 2023 Every year in the beautiful cultural city of Vienna, there is conference known as ECR, the European Congress of Radiology. This is a chance for the movers and shakers in medical imaging to get together to exchange ideas, make pitches, and launch new products. In recent years, AI has become more and more prominent at ECR, to the point where it is now quite rare to find an exhibitor not talking about AI. I wanted to briefly sample some of the most interesting companies, to give an overview of where medical AI is right now. What are they working on? What stage are they at? How is it going? Here is a series of ten  short interviews, my highlights of ECR 2023. In order, you’ll hear from GE Healthcare, Koios, Siemens Healthineers, Qure.ai, Samsung, Esaote, Agfa, Canon, Carestream and Varex. Original music by Felix Beacher: https://youtu.be/plg98pnyUew

Today I am joined by Matt McBride, the CEO of Mend, and we discuss the challenges that doctors and patients face when it comes to effective communication, and how AI systems can be used to bridge the gap. A study by Accenture found that many Americans are unhappy with the communication channels they have with their healthcare providers. This has the potential to contributes to distrust and even ignorance about best care practices by patients and doctors. Matt asks the question: how can we better utilise the technology we have to bridge patient-doctor relationships. Matt shares insights into the specific ways in which Mend's technology is helping doctors and patients communicate more effectively. Through this journey, we also cover important factors of the ethical considerations around using AI in healthcare, and how Mend is working to ensure that patient privacy and autonomy are always respected. And finally, how might data bias be mitigated for the highest standard of care across a range of subjective issues?  Guest Profile – Matt McBride Matt McBride MBA, is the CEO and Co-Founder of Mend, a health communications company that utilises AI and med tech to streamline patient-doctor information sharing. He has extensive experience in the healthcare technology sector bridging business acceleration and medical optimisation. Original music by Felix Beacher: https://youtu.be/JS93808r-W4

Janette Phi’s journey into healthcare technology is a personal one, driven by a medical issue her son experienced in his youth. Driven by her own story, she asks how medical normalisation and precision healthcare work together to bring the correct care to correct patient - with the potential to save lives. Join me, Dr Felix Beacher, and in Episode 14 of our podcast, we welcome Janette Phi, the Chief Business Officer of ThinkCyte. Janette shares her insights on how to grow a company and the challenges she has faced in leading ThinkCyte to success. We dive deep into the world of single-cell treatment, looking at how understanding one cell can help build medical frameworks of the whole body. We ask how doctors weigh the relationship between personal and general treatment, the growing field of precision medicine, and the importance of improving information sharing within the medical community. Join us as we explore new frontiers in using artificial intelligence to fight against cancer and bring well-needed healthcare to those who need it. Who is Today's Guest? Janette Phi is Chief Business Officer at ThinkCyte and is responsible for leading global business development and commercial activities. Phi brings over 30 years of technical and business experience with advanced scientific technology companies. She has served as CBO for IntelliCyt (acquired by Sartorius), COO for Xcell Biosciences and CCO for Applied Cells and ONI. She holds a B.S. in Cell Biology from the University of California, Berkeley and an MBA with an emphasis in Marketing & Finance from Santa Clara University Original music by Felix Beacher: https://youtu.be/JS93808r-W4

In today’s episode we explore the hardware and components that build the foundations of Med Tech and make AI viable within medical practices. Join myself, Dr Felix Beacher as I talk to Sub Bhattacharya, Head of Healthcare & Sciences at AMD, as he discusses the hardware perspective of medical AI. We talk about the latest advancements in healthcare technology, including the role of semi-conductors and processors in the technology that makes hand-held diagnostic devices available. Discover how the integration of AI technology is transforming healthcare delivery and research, and gain valuable insights into the future of medical AI. Whether you're a medical professional or simply curious about the intersection of technology and healthcare, this episode offers a fascinating look at the evolving capabilities and feats of engineering in the world of healthcare technology. Don't miss this expert discussion on the cutting-edge intersection of healthcare and technology. Who is Today's Guest - Sub Bhattacharya  Sub Bhattacharya has extensive experience as the Head of AMDs healthcare and Sciences department. He brings 20+ years of leadership roles in business development, strategy, marketing, product management to build bridges between healthcare technology and semiconductors. Original music by Felix Beacher: https://youtu.be/JS93808r-W4

In this episode, we sit down with Tom Lawry, the author of "Hacking Healthcare" to discuss the challenges of getting medical AI adopted in the real world. Lawry is an expert in healthcare automation, and he brings a wealth of knowledge and experience to the table. We start off by discussing the importance of finance and funding in the healthcare industry and how it can be a barrier or influence to the adoption of AI for quality of care. Lawry shares his insights on how to overcome this obstacle and get medical AI solutions into the hands of patients and providers. Behind this, we discuss the operationalisation and efficiency of data and how. We also discuss the role of Healthcare Policy and AI regulation. Lawry shares his thoughts on how policymakers and regulators can support the development and deployment of AI solutions in healthcare while ensuring patient safety and privacy. This episode is a must-listen for anyone interested in the intersection of healthcare and AI. Lawry’s insights and expertise provide valuable guidance for healthcare providers, policymakers, and innovators seeking to improve the quality of care through automation and technology. Guest Profile - Tom Lawry Tom Lawry serves as Director of Worldwide Health for Microsoft. In this role he works with providers and life science organizations in planning and implementing innovative analytical solutions that improve the quality and efficiency of health services delivered around the globe. Original music by Felix Beacher: https://youtu.be/JS93808r-W4