Davit Buniatyan is the CEO and Founder of Activeloop, a company advancing the way deep learning teams manage multi-modal datasets. In this episode, Buniatyan discusses how Activeloop's AI-native data format based on tensors is poise to help transform healthcare by enabling the digitization of medical images and streamlining workflows. Buniatyan shares insights into the primary safety concerns when integrating private company data with large language models, as well as the current challenges...

In this episode, we explore the pioneering world of digital and computational pathology with Dr. David Klimstra, whose illustrious career spans from his former role as Chair of the Pathology Department at Memorial Sloan Kettering Cancer Center to his current position as Co-Founder and Chief Medical Officer at Paige AI. Dr. Klimstra shares his journey through the evolution of pathology, highlighting the transformative impact of artificial intelligence and digital technologies on the field. We...

Episode 37: AI for psychotherapy. With Lindsay McKean, Psychotherapist

The liver is a miracle of physiology, with over 1,000 known functions. This highlights the potential impact of liver dysfunction on various bodily systems. Also, liver disease is a major cause of death globally, and the numbers are on the rise. This adds up to a critical clinical need. Dr Neil Guha is Professor of Hepatology at the University of Nottingham, an NHS consultant and Research scientist. He recently published an excellent paper in the journal of medical AI on a ML model to rate...

A year ago, very soon after the release of ChatGPT there was an article in Nature with the curious title… ChatGPT listed as author on research papers: many scientists disapprove Since then, the use of LLMs in medical research has exploded, including as a coauthor of articles. But how is it being used? Does it matter? Does it undermine the human authors? And does it risk the quality of the research? With me to discuss this is a brilliant up and coming researcher at the Universal...

Anitha Kannan is a founding member and the head of machine learning at Curai Health, an AI-powered virtual clinic on a mission to improve access to care at scale. Anitha spearheads the development of machine learning technology designed to reimagine care delivery and enhance patient outcomes. Prior to her work at Curai, Anitha held senior research positions at Facebook AI Research and Microsoft Research, where she received multiple Gold Star awards. She holds a PhD in machine learning from...

Dr. Dan Heller leads the Cancer Nanomedicine Laboratory at Memorial Sloan Kettering Cancer Center, where he develops advanced diagnostic technologies. His lab recently made headlines for creating a nanosensor "nose" that can sniff out ovarian cancer sooner than current tests. Using carbon nanotubes and machine learning, this artificial olfaction technology was able to identify ovarian cancer in early stages, making treatment more feasible. In addition to his pioneering work in the lab,...

Episode 32: Medical AI generalism and diabetic retinopathy, with RJ Kedziora, Co-founder of Estenda Solutions

Episode 31: AI for summarizing medical notes, with Vince Hartman, CEO of Abstractive Health

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,...

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...

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...

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.

Worldwide, the capacity of health systems is being strangled, by the complex healthcare needs of ageing populations, and the rise in chronic diseases more generally. Radiology departments in particular, are simply unable to meet a massive and rising demand and patients are facing ever longer delays in treatment. Much has been made about the ability of AI systems to interpret medical images as well or better than human radiologists. But are we really moving towards a future in which AI systems...

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.

Here we discuss the use of machine learning to predict outcomes of clinical trials. This is potentially a practical and robust way to develop tools for precision medicine and also offers possibilities for radical new approaches to drug development.

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...

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...

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...

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...

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...