The Medical AI Podcast

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/

Dr. Scott Chetham, a clinical scientist and CEO of Faro Health, brings over 20 years of experience in clinical trials to the discussion. He dives into the costly failures of drug development, highlighting that 90% of candidates never see approval. Scott explains how AI can revolutionize this process by targeting the right data and patients, potentially saving millions and speeding up development times. He also discusses Faro's innovative platform for improving trial design and its broader implications for public health.

In this enlightening discussion, Professor Paul Chang, a radiology expert from the University of Chicago, dives into the hurdles of AI adoption in breast cancer detection. He highlights a significant study where AI outperformed human radiologists, yet only 10-20% of mammograms utilize this technology. Chang explores trust issues, the need for compelling use cases, and the complexities of data integration. He also addresses the regulatory challenges the FDA faces in overseeing these innovations, calling for a fresh perspective and better collaboration in healthcare.

Dr. Sera Lavelle, a clinical psychologist with 17 years of experience in treating emotional eating and the founder of an AI-integrated app, discusses the alarming rise of obesity and its link to emotional and impulsive eating. She highlights how traditional weight loss methods often fail and introduces her innovative AI app that combines motivational interviewing and mindful eating. Sera also tackles the app's safety features and its potential to complement treatments like Ozempic, paving the way for a new approach to tackling emotional eating.

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/