Who will be held to account legally for harm caused by AI use in Healthcare? This episode delves into this knotty question with Majid Hassan- a solicitor and parter at Capsticks LLP specialising in Healthcare litigation. The conversation covers: - Key legal concepts such as negligence and and product liability - How the litigation process would take place practically - Why you could be more at risk from NOT using AI than using it

In this episode focusses on the future of regulatory approvals for AI software medical devices in the UK (and EU). Featuring guest James Dewar- Co-founder of Scarlet a EU Notified body and UK approved body that specialises in certifying software medical devices.  Key discussion topics: The current regulatory position of the UK post-Brexit and the opportunities that this could present The practical impact of the EU AI act for medical device manufacturers within the EU.  What makes regulatory submissions uniquely challenging for AI devices Getting novel technologies such as Large Language model and other foundation models regulatory approval

Pearse Keane, a Consultant Ophthalmologist at Moorfields and a Professor of Artificial Medical Intelligence at University College London, dives into the transformative role of AI in eye care. He shares insights on the successful collaboration between Moorfields and Google DeepMind to detect retinal diseases. Discover the emerging field of 'oculomics,' viewing the eye as a vital health indicator. Keane also discusses the UK’s potential to lead in healthcare AI by merging NHS data with academic expertise and the innovative ReptFound model for enhancing eye disease screenings.

In this LIVE recording of the RSM Digital health podcast from the HETT conference guests Darrien Bold and Dr George Harston discuss the key enablers that supported AI for stroke to be deployed in 100% of NHS stroke units in England Discussion topics include:  The power of top down focus on specific areas of unmet need Efficiencies gained from centralising due diligence and governance processes Resourcing focussed on dedicated central teams, financing local procurement and enabling evaluation  Peer to peer learning and the need for shared learning networks  Guidelines and the importance of demonstrating evidence of value at a system level

This episode features a conversation with Dr Dillon Obika- Senior Clinical Specialist at Google about MedLM: Google's family of medical foundation models. Conversation topics include: - Why and how Google have been developing medical foundation models - How MedLM is currently being used in clinical practice - The challenge of evaluating model performance for clinical tasks - How Google are tackling clinical safety risks arising from hallucinations, omissions and bias

This episode features a conversation with Malte Gerhold- Director of Innovation and Improvement at the Health foundation. It discusses Implementation Insights from the research and policy undertaken by the Health Foundation on Health technology and AI. Discussion areas include: - Why we need to focus on funding change rather than the technology - The public discussions that are needed about trade-offs patients are willing to make when it comes to AI  - Why we need a problem driven approach healthtech adoption  - The importance of avoiding an AI aristocracy in the NHS so that everyone can benefit  Papers discussed: Priorities for an AI in health care strategy How would clinicians use time freed up by technology?

In this episode Dr Kath Halliday- President of the Royal College of Radiologists discusses how AI is impacting radiology. Discussion points include: - The AI technologies that are being used in NHS radiology derpatments - Challenges faced with deploying AI in the NHS - How AI is likely to change the nature of radiologists' work - The use of autonomous AI in radiology Links from the Royal College of Radiologists: - AI Registry - AI education course - AI Code of Conduct

This special edition of the RSM digital health podcast is a joint episode with the hosts of the Dev & Doc podcast focussed on Explainable AI in healthcare. Key discussion topics: - The confusion around what explainable AI is - The question of whether it is really necessary in healthcare - Exploring different explainability techniques - The future of explainability and what’s needed to get there If you like this episode then I'd love to hear your comments and and do check out the Dev & Doc podcast where doctors and engineers unpick healthcare AI related topics

This episode features a conversation with Professor David Lowe- Clinical Director for Innovation at the Digital Health Validation Lab, University of Glasgow and A&E consultant. Key conversation topics: - The story of the Digital Health Validation lab - What validation of Digital Health Technologies means in practice and how it varies depending on the maturity of the technology - Evaluation challenges and what could be done to overcome them from a policy and governance perspective - Hints and tips to early stage companies when it comes to evaluation Digital Health Validation Lab website

This episode explores software as a medical device regulation on both sides of the Atlantic.  It features two incredible guests, Johan (ex-MHRA) and Brendan (ex-FDA) who share their unique perspectives from their respective experience at regulatory agencies. Discussion points include: The key differences between the EU, UK and US approaches to regulation - How these differences impact market entry strategy - Approaches to regulating AI including the EU AI Act and what it means for AI medical device manufacturers - International regulatory harmonization efforts - Key Dos and Don’ts when interacting with regulators