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/

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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/⁠

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% of routine mammograms. So what’s the hold-up in adoption? And how do we get past the road blocks?

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/⁠ 

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