The Future of AI in Healthcare

The advent and speed of advancement in AI has far reaching consequences for multiple industries. This five-part miniseries will spotlight various industry sectors where AI has a significant and growing impact, with this particular episode centering on AI's role in healthcare.

AI in healthcare offers life changing benefits as well as raising far reaching concerns. In the medical arena, various AI programmes like Large Language Models and Foundation Models are being used in many specialities, both in research and clinically. AI’s ability to rapidly process vast amounts of data and identify subtle patterns affords unrivalled potential within medicine. It can also help save money by streamlining processes. But there are risks. As the technology advances so do concerns over inaccurate diagnoses that could exacerbate health inequalities that already exist in the system. Another area of particular focus is the transparency and trust of the AI models being built. This is where the importance of regulation comes in. We speak with Dr Alan Karthikesalingam, Senior Staff Clinician Scientist and Research Lead at Google who offers his insight into the research and clinical applications of AI in healthcare. Greg Sorensen, Lead at Aidence, shows how AI is being used in the clinical screening of lung cancer, a key prevention tool that is already saving lives. Inma Martinez, chair of the multi expert group at the global partnership on AI addresses the importance of regulation and governance of AI in healthcare and beyond.

Our Sources for the show: FT Resources, CEPR, European Parliament research, CSET, BMJ, KCL.

This content is paid for by Google and is produced in partnership with the Financial Times’ Commercial Department.

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