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

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

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

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

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.

Episode 41: The path to a medical AI holy grail: medical records analysis and automated treatment selection; with Mika Newton, CEO of XCures

Pat Baird is co-chair of the AI committee for the Association for the Advancement of Medical Instrumentation and the International Medical Device Regulators Forum

Davit Buniatyan is the CEO and Founder of Activeloop, a company advancing the way deep learning teams manage multi-modal datasets. In this episode, Buniatyan discusses how Activeloop's AI-native data format based on tensors is poise to help transform healthcare by enabling the digitization of medical images and streamlining workflows.

Buniatyan shares insights into the primary safety concerns when integrating private company data with large language models, as well as the current challenges around the GPU shortage and how Activeloop is addressing them. He also delves into the rise of unstructured data and the need for industry standards to efficiently process this information for machine learning purposes.

As the leader of a company at the forefront of AI data management, Buniatyan provides valuable perspectives on the future of this rapidly evolving field and how Activeloop is helping teams ship AI products faster without the need to build complex data infrastructure.

In this episode, we explore the pioneering world of digital and computational pathology with Dr. David Klimstra, whose illustrious career spans from his former role as Chair of the Pathology Department at Memorial Sloan Kettering Cancer Center to his current position as Co-Founder and Chief Medical Officer at Paige AI. Dr. Klimstra shares his journey through the evolution of pathology, highlighting the transformative impact of artificial intelligence and digital technologies on the field. We explore how his work at Paige AI is reshaping the landscape of cancer diagnosis and treatment, making it more precise, efficient, and patient-focused.

Episode 37: AI for psychotherapy. With Lindsay McKean, Psychotherapist