The Medical AI Podcast: Recent Episodes
Dr Felix Beacher
The medical AI podcast is a 30 minute thrill ride of big ideas. We talk to a range of guests, from industry innovators to scientists and philosophers. It is brought to you by Omdia and Informa Tech.
Have you ever been dropped into the divine realm, the ultimate substrate of all reality? Have you ever given birth to yourself infinite times? Or felt connected to the entire universe in a way which is spiritually life-changing? If the answer to any of these questions is yes, you've probably been on mind-altering drugs, or psychedelics, like LSD or psilocibin.Remarkably, there is growing evidence that psychedelics can be used to treat a range of psychological disorders,including depression, PTSD, and addiction.But what happens when the clinical use of psychedelics meets AI?
With Cedric Chenefront, Founder of Well Wired.
For professional and life coaching for healthtech execs, see https://coolcoaching.co.uk/
The Medical AI Podcast is the world's number one podcast on medical AI on Spotify and Apple Podcasts (according to Podseo, FeedSpot and Millionpodcasts).
For other related podcasts see
https://podcast.feedspot.com/uk_ai_podcasts/
https://www.millionpodcasts.com/digital-health-podcasts/
Brain-computer interfaces are for some, medical technology bordering on the miraculous. Elon Musk’s neuralink is, for example, promising to cure some cases of blindness and paralysis. It has even been suggested that brain-computer interfaces could help humans become "superhuman": theycould dramatically boost human cognition and even help people become telepathic. On the other hand, science fiction is full of dire warnings about the merging of brain and machine.
So where are we currently with brain-computer interfaces? What are the promises?
What are the risks? And how could brain-computer interfaces affect our sense of self?
Could they enhance it dramatically?
Or could they be a terrifying path to techno-dehumanisation.
With Dr Robyn Waller of Sussex University
For professional and life coaching for health execs, see https://coolcoaching.co.uk/
The Medical AI Podcast is the world's number one podcast on medical AI on Apple Podcasts and Spotify (according to Podseo, FeedSpot
and Millionpodcasts).
For other related podcasts see
https://podcast.feedspot.com/uk_ai_podcasts/
https://www.millionpodcasts.com/digital-health-podcasts/
Let’s imagine a utopian future of medical AI. Implantsand wearables constantly monitor your health. AI systems process those health data in real time and recommend any treatments, combining those data with those from your genome. Recommended drugs, naturally, are more efficacious and cheaper than those from 2025. life expectancy will be 100 and old age will be longer, healthier and groovier than ever. BUT … Getting there is anotherthing …. and the problem may not be so much with the technology. Perhaps what is needed is a fundamental shake up of healthcare systems.
With Dave Trier of Modelop
The Medical AI Podcast is the number one podcast on Medical AI in the world, on both Apple Podcasts and Spotify, according to Podseo and FeedSpot (https://podcast.feedspot.com/uk_ai_podcasts/) andmillionpodcasts(https://www.millionpodcasts.com/digital-health-podcasts/)
For professional and life coaching check out https://coolcoaching.co.uk/
In Blade Runner Rick Deckard, meets Rachel. She is very beautiful and vulnerable, with a rich life narrative, andemotional depth. However, Rachel is a highly sophisticated, super-realistic android. But nonetheless he falls in love with her. How close are we to this vision of the future? Are there medical uses to companion robots? And are there hidden dangers? And what about you? - Could you fall in love with a robot? My guest is uniquely well-placed to explore these questions – because he is building the world's most advanced companion robots. Andrew Keegel, CEO ofRealbotix.
The Medical AI Podcast is the number one podcast on Medical AI in the world, on both Apple Podcasts and Spotify, according to Podseo and FeedSpot (https://podcast.feedspot.com/uk_ai_podcasts/) and millionpodcasts (https://www.millionpodcasts.com/digital-health-podcasts/)
For professional and life coaching check out https://coolcoaching.co.uk/
Under capitalism a company has to make money. But a big problem in medical AI is that few companies are. Most are burning up venture capital and profitability is very hard to achieve. A key reason is that it is extremely difficult to obtain government reimbursement for the use of medical AI products. But a small number of companies are making progress here. What can learned from them? And how would a shift in reimbursement change the sector?
Microscopic analysis of tissue slides, or pathology, is a vital diagnostic tool. It can determine disease type and stage and it remains the gold standard approach for diagnostics in cancer. But the process is labor-intensive and dependent on the skill of the pathologist. AI techniques could address those problem and are rapidly changing pathology analysis. Buthow exactly? What does the future look like? And how could pathology AI be used to deliver Precision Medicine – which aims to tailors medical treatment to the individual.
The Medical AI Podcast is the number one podcast on Medical AI in the world, on both Apple Podcasts and Spotify, according to Podseo.
The Medical AI Podcast is a top-rated podcast on FeedSpot: https://podcast.feedspot.com/uk_ai_podcasts/
The Medical AI Podcast is also a top-rated podcast on millionpodcasts: https://www.millionpodcasts.com/digital-health-podcasts/
For professional and life coaching check out https://coolcoaching.co.uk/
We are all aware now of the outrageous power of Large language Models, or LLMs, such as Grok, Gemini and chatGTP. And ever since they exploded onto the scene in late 2022 there has been a scramble to implement them into health care products. However there’s a big problem. They can hallucinate like a Timothy Leary on a cocktail of peyote, LSD and ayahuasca. Except that … these hallucinations can look very convincing. In the context of healthcare, that’s a problem. With Dr Vlad Panin CEO of iFrame. The Medical AI Podcast is the number one podcast on Medical AI in the world, on both Apple Podcasts and Spotify, according to Podseo.
The Medical AI Podcast is a top-rated podcast on FeedSpot: https://podcast.feedspot.com/uk_ai_podcasts/
The Medical AI Podcast is also a top-rated podcast on millionpodcasts: https://www.millionpodcasts.com/digital-health-podcasts/
For professional and life coaching check out https://coolcoaching.co.uk/
AI and heart attack risk, with Ben Tasker, AI Dean of Southern New Hampshire University. In the US over a million people per year will need urgent life saving treatment for a heart attack. But these treatments are risky for the patient and can be potentially fatal. How can AI help predict potential adverse events to treatment and help mitigate those risks.
The Medical AI Podcast is the number one podcast on Medical AI in the world, on both Apple Podcasts and Spotify, according to Podseo.
The Medical AI Podcast is a top-rated podcast on FeedSpot. Check out other FeedSpot podcasts here: https://podcast.feedspot.com/uk_ai_podcasts/
The Medical AI Podcast is also a top-rated podcast on millionpodcasts, check it out:
https://www.millionpodcasts.com/digital-health-podcasts/
Imagine you’ve just been diagnosed with a serious heart condition. You will need a carefully crafted care plan. This will help manage your medications, appointments, and lifestyle changes…. But then imagine you’re caught up in the gears of a dysfunctional health system, these could mean the difference between life and death. How common are these kinds of issues? And how could AI help? With Dr Aki Al-Zubaidi
Donald Trump - Many love him, many hate him. But … few would disagree that his second administration, only 100 days in, has already brought in political change that is truly radical
One key example is that there are now people with a strong deregulation agenda - in key roles in the US government.
And the single biggest question in medical AI right now – is what will be the impact – both in the US and around the world. This area is not only important - it is highly complex, with many unknowns. Which is why I have someone with not only genuine expertise here but also with a lot of courage ,,,, Dr Hugh Harvey, CEO of Hardian Health.
The Medical AI Podcast is the number one podcast on Medical AI in the world, on both Apple Podcasts and Spotify, according to Podseo.
The Medical AI Podcast is a top-rated podcast on FeedSpot. Check out other FeedSpot podcasts here: https://podcast.feedspot.com/uk_ai_podcasts/
The Medical AI Podcast is also a top-rated podcast on millionpodcasts, check it out:
https://www.millionpodcasts.com/digital-health-podcasts/
It’s widely assumed that drug treatment is a miracle of modern science. However, it’s equally arguable that modern drug treatment is a very expensive disaster, with serious consequences for public health. For example, a drug typically takes 10-12 years to develop and the cost is as high as $2.5 billion. And yet despite that, 90% of drug candidates fail to gain approval. And, especially for chronic diseases, their overall benefit is often poor or even non-existent.
Can AI help?
With Dr Scott Chetham
Episode 53: Radiology AI: Roadblocks and how to get past them. With Professor Paul Chang.
A recent study by McKinney and colleagues showed that deep learning AI systems outperformed human radiologists for detection of breast cancer.
Except that this wasn't so recent... it was in fact published in January 2020, over 5 years ago. While AI screening is growing it still only accounts for around 10-20% ofroutine mammograms. So what’s the hold-up in adoption? And how do we get past the roadblocks?
The Medical AI Podcast is a top-rated podcast on FeedSpot. Check out other FeedSpot podcasts here:https://podcast.feedspot.com/uk_ai_podcasts/
One of the greatest health challenges for western countries is obesity. Why is that an issue? Obesity increases the risk of all major diseases including heart disease, cancer, dementia, and diabetes. What role is AI playing in addressing this? With Dr Sera Lavelle, Clinical Psychologist.
The Medical AI Podcast is a top-rated podcast on FeedSpot. Check out other FeedSpot podcasts here: https://podcast.feedspot.com/uk_ai_podcasts/
Radiology could be the most important area of medical AI. Most FDA approvals in medical AI are for radiology – with almost 1000 approvals since 2017. So radiology is undergoing a major AI transformation. But the abundance of radiology AI tools has created a big problem. With so much choice, healthcare providers are often confused about
◦ which tools to deploy
◦ how to deploy them
◦ how they will work
◦ whether they could conflict with current computer systems
This uncertainty is a significant brake on progress. A part of the solution to that problem is that of AI marketplaces, or platforms. And what are the lessons for other areas of medical AI? With me to discuss this important area is Pelu Tran, CEO of Ferrum Health
Episode 50: AI and the non-invasive "brain biopsy" (1H-MRS) with Professor Alex Lin of Harvard Medical School
Imagine a doctor telling you you need a biopsy. Then he or she tells you the biopsy is going to be from your brain. You might well panic. But then you learn that there will be no drilling through the skull. This is a non-invasive biopsy. It uses a technique known as H-MRS and it could be the coolest type of neuroimaging you have never heard of.
So what is it? How can it help? And how is AI advancing this technique?
With Professor Alex Lin of Harvard Medical School.
The classic American TV series Six Million Dollar Man followed the story of Steve Austin, who had to be rebuilt after near-fatal injuries in a plane crash. He was Better than he was before… Better...stronger...faster." Prosthetic limbs have been helping people for many years even centuries but what is the state-of-the-art? How is it helping amputees? And how far can the technology take us towards a science fiction future? With Blair Lock, CEO of Coapt Engineering.
The Medical AI Podcast is a top-rated podcast on FeedSpot. Check out other FeedSpot podcasts here: https://podcast.feedspot.com/uk_ai_podcasts/
Skin cancer is one of the most common forms of cancer globally, with millions of cases diagnosed each year. Its prevalence is rising due to factors like increased sun exposure, aging populations, and lifestyle changes. The main types of skin cancer include melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC), with melanoma being the deadliest. Early detection is crucial for successful treatment, as skin cancer can often be treated effectively if caught early.
However, diagnosing skin cancer can be challenging due to the wide variety of skin conditions and the complexity of distinguishing between benign and malignant growths. Traditional methods of detection, such as visual inspection by dermatologists and biopsies, are time-consuming, subjective, and prone to human error.
AI systems, particularly deep learning and computer vision models, are being increasingly applied to help address these challenges. These AI tools can analyze medical images of skin lesions with high accuracy, sometimes surpassing dermatologists in diagnosing skin cancer. They can quickly identify suspicious moles or growths, enabling earlier and more accurate diagnosis. AI systems can also assist in classifying lesions into categories (benign or malignant) and track changes over time, improving long-term monitoring.
The potential benefits of AI in skin cancer detection include faster diagnosis, reduced workload for healthcare professionals, and improved patient outcomes through early intervention. As AI technology continues to evolve, it may become a key tool in reducing the global burden of skin cancer.
With Cody Simmons, CEO of Dermasensor
Check out other top-rated AI podcasts on FeedSpot:https://podcast.feedspot.com/uk_ai_podcasts/
One of the landmarks in AI was the work on neural networks in the 1970s by Geoffrey Hinton, the "Godfather of AI". Thiswork took place at the University of Edinburgh. This laid much of the groundwork for the plethora of modern AI-based applications so academia and the corporate sector are two very different but essential types of crucible for AI research what is a relationship between them? Is it a loving partnership? Or is it more like a Hollywood marriage with crockery regularly being thrown against the wall? With to explore this important but under-discussed area is Prof Shai Shen-Orr, Associate Prof. at Technion, the Israel Institute of Technology.
Longevity and immortality is a key theme in the earliest literature. But what does modern science have to offer to life extension? And in particular, has AI added anything new? With Felix is someone who is actively involved in this field, Dr Cory Goldberg.
Episode 45: AI doctors: how close are they? With Robert Sargsyan, CEO of Docus. Will AI doctors eventually replace human doctors? Are they already doingso? 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? Joining me is someone at the cutting edge of this fascinating topic, Robert Sargsyan, CEO of Docus.
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 Dr Justin Schrager, founders of the company Vital.
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 protectingpatients 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 he was also instrumental in the introduction of the BMA policy on healthcare AI integration.
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 ofOptimized 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 rejectionrate 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 Clinical Trials.
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 detectthis 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: https://blog.feedspot.com/uk_ai_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 governments and patients? Are there issues with patient safety?
With me is Finn Stevenson, who is working on precisely this idea. He is a former medic, and CEO of Flok Health.
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
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 around the GPU shortage and how Activeloop is addressing them. He also delves into the rise of unstructured data and the need for industry standards to efficiently process this information for machine learning purposes.
As the leader of a company at the forefront of AI data management, Buniatyan provides valuable perspectives on the future of this rapidly evolving field and how Activeloop is helping teams ship AI products faster without the need to build complex data infrastructure.
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 explore how his work at Paige AI is reshaping the landscape of cancer diagnosis and treatment, making it more precise, efficient, and patient-focused.
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 risk for liver disease.
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 Scientific Education and Research Network, Fiona Morrison.
Anitha Kannan is a founding member and the head of machinelearning at Curai Health, an AI-powered virtual clinic on a mission to improveaccess to care at scale. Anitha spearheads the development of machine learningtechnology designed to reimagine care delivery and enhance patient outcomes.Prior to her work at Curai, Anitha held senior research positions at FacebookAI Research and Microsoft Research, where she received multiple Gold Starawards. She holds a PhD in machine learning from the University of Toronto andwas a Darwin Fellow at the University of Cambridge.
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, Dr. Heller co-directs the Pat and Ian Cook Doctoral Program in Cancer Engineering at Memorial Sloan Kettering, is a member of the Molecular Pharmacology Program at the Sloan Kettering Institute, and serves as a Professor at the Weill Cornell Graduate School of Medical Sciences.
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, 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.
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 have transformed radiology to the point where they are independently processing scans quickly, accurately and en masse? If that transformation is underway, what will be the impact, good and bad?
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
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They can give results instantly
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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 LawryTom 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.
Episode 15: Can AI systems improve doctor-patient communication? With Matt McBride, CEO of Mend
Episode 14: New directions in cancer diagnostics, with Janette Phi, Chief Business Officer of ThinkCyte
Episode 13: Medical AI, the hardware perspective, with Sub Bhattacharya, Head of Healthcare & Sciences at AMD
Episode 12: Getting Medical AI Adopted in the Real World, with Tom Lawry, author of 'Hacking Healthcare'
Episode 11: Health Informatics and AI, with Professor Mark Braunstein, Author of Health Informatics on FHIR
Episode 9: Clinical science search engines, Consensus and ChatGPT, with Eric Olsen, CEO of Consensus
Episode 8: Madhuri Sebastian, Senior Vice President, Global Head of Enterprise Imaging at Philips
Episode 4: AI and medical imaging in the home, with Dr John Martin, CMO of Butterfly Network
Felix is joined by Hazel Edwards of the British Medical Ultrasound Society (BMUS). Discussion of Omdia's new research study on perceptions of medical AI within radiologists and radiographers.
Felix is joined by Professor Runjan Chetty, Chief Medical Officer of Deciphex, a company developing AI-based diagnostics for pathology samples.
Felix is joined by Dr Antony Rix CEO of Lucida Medical, a company developing software for helping detect prostate cancer from MRI scans.