Oxford Clinical AI for Healthcare Leaders
Join us at the Margaret Thatcher Centre, Somerville College for an intensive 1-day summit for healthcare leaders navigating the technological disruption of AI in healthcare.
With expertise from management science, clinical AI entrepreneurs and transformation practitioners, we move beyond the hype to provide practical insights into foundational AI models, with live use-cases.
Pror S. Arora, Co-Programme Lead, AI for Business, Said Business School
With expertise on management science and machine learning, Prof Arora will discuss the landscape of AI transformation, the journey so far in healthcare , and horizon events to prepare for.
Professor L. Celi, MIT Laboratory of Computational Physiology
A global leader and principal research scientist at MIT, Prof. Celi will discuss the practical challenges and opportunities in making large, complex clinical datasets useful and actionable for AI applications.
Dr. I. Das, Consultant Cardiothoracic Radiologist, Qure.ai
Representing the cutting edge of applied clinical AI, Dr. Das will share insights on creating impactful AI transformation in medical imaging.
Dr. D. McLaughlan, Founder, Curb
A psychiatrist and founder, Dr. McLaughlan is an expert on the intersection of AI—particularly Large Language Models—and the future of mental health delivery.
Ms. A. Molina, Senior Legal and Policy Strategist
Ms. Molina will provide a crucial international perspective, delivering a 'Letter from America' on the lessons the NHS can learn from US AI healthcare litigation.
Dr. E. Coates and Dr L. Howarth, Oxford University Hospitals
As Conference Co-Chair and a Consultant Paediatric Surgeon, Dr. Coates will open the event and speak on the future of the clinical workforce. Drs Coates (Foundation training programme director, OUH) and Dr Howarth (Course Director, Paediatrics, OU) will also deliver "The Great Workforce Debate: AI vs the Physician".
Dr A. Paul, AI Strategy and Ethics
Dr Paul will host and inview a guest speaker on AI, Equity and Ethics.
Engage with leading experts, debate the future of the clinical workforce, and explore the critical transformation, governance, and legal challenges of integrating AI into healthcare.
