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". This work 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 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? 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 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 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 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 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 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: 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.
