The Medical AI Podcast

Pelu Tran, CEO of Ferrum Health, specializes in integrating AI tools within healthcare. He discusses the explosion of radiology AI, highlighting nearly 1,000 FDA approvals since 2017. The abundance of choices confuses providers about deployment, stalling progress. Tran emphasizes the importance of AI marketplaces to simplify implementation and touches on emerging trends like hospitals reclaiming AI infrastructure for better security and costs. He also explores how these advancements are enhancing patient care and addressing regulatory challenges through innovative platforms.

Join Professor Alex Lin, a leading expert from Harvard Medical School, as he unveils the groundbreaking technique of non-invasive brain biopsies using hydrogen magnetic resonance spectroscopy (H-MRS). He highlights how this innovative method diagnoses brain tumors linked to genetic mutations without surgery. The conversation dives into the role of AI in interpreting MRS data, enhancing patient outcomes, and tackling the challenges faced in its adoption. Discover how BrainSpec is revolutionizing brain diagnostics and the future of neuroimaging.

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.