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?

Under capitalism a company has to make money. Buta big problem in medical AI is that few companies are. Mostare 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/⁠