The Medical AI Podcast

Episode 45: AI doctors: how close are they? With Robert Sargsyan, CEO of Docus. Will AI doctors eventually replace human doctors? Are they already doing so? On one hand, people like the human touch of human doctors. On the other hand, human doctors get tired, are limited in terms of the amount of data they can handle and tend to be overstretched. So where are we with the development of AI doctors?...

Irregular heart rhythms can indicate several potentially fatal health problems, including risk for heart attack and stroke. Here we discuss how AI approaches are helping to transform cardiology, with respect to detection of irregular heart rhythms. With Felix is Stuart Long, CEO of infobionic.ai

Waiting for emergency treatment, when you might already be in shock, can be a very distressing and lonely experience. A big part of the problem might be that you are feeling in the dark about what’s happening and how long you’ll be there. An already stressful situation could feel like an eternity. How can AI systems help here? Two men who have commercialised just such a thing are Aaron Patzer and...

Some have suggested that the medical profession is a force of resistance in AI adoption, that it is prioritizing the protection of jobs, potentially at the cost of patients Is there any truth in that? Or is the medical profession actually protecting patients by resisting an overhasty rush to AI adoption? With me is someone who is perfectly placed to discuss this, Dr Jethro Hubbard. He is a GP. And...

AI has the potential to revolutionize clinical trials in many ways. It could make the development of new treatments faster, safer, cheaper and more personalised. One company in this space is Owkin, a unicorn startup based in Paris. With me is Dr Félix Balazard, Director of Optimized Development Solutions.

Clinical trials are the cornerstone of the development of new treatments. One can see them as a shining example of the scientific method in practice. One can also see them as phenomenally expensive, with a high rejection rate and a record of passing treatments that are ineffective. So, how is AI being used to address these problems? With me to discuss this is Dr Harsha Rajasimha, CEO of Jeeva Clin...

Counterfeit medications and medical equipment is a huge global fraud. And it is deadly - counterfeit medications can contain incorrect ingredients and even harmful components. So how far is it possible to detect this kind of fraud and how is AI a part of that effort? With me to discuss this is Roei ROY Ganzarski, CEO of Alitheon. The Medical AI Podcast is one of Feedspot's top rated podcasts:...

Imagine having crippling back pain, but there’s a four month waiting list for a physiotherpist. Alternatively, you have instant access to an AI-based physiotherapy system. 80% of adults have significant back pain at some point, so there’s an excellent chance that this kind of choice is one you will have to make. But can it be made to work? Is the technology ready? Would it be accepted by governmen...

Episode 41: The path to a medical AI holy grail: medical records analysis and automated treatment selection; with Mika Newton, CEO of XCures

Pat Baird is co-chair of the AI committee for the Association for the Advancement of Medical Instrumentation and the  International Medical Device Regulators Forum

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...

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...

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 figur...

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 r...

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 autho...

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...

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.