AI Healthcare: AI-Driven Patient Insights

Thursday 24th Apr 2025 @ BST 10:00 - 11:00

Zoom | UK

Learn how AI is being used to generate deep insights into patient data, enabling personalised care and improved outcomes.

Register

About the event

Discover how AI is transforming healthcare by generating deep insights into patient data. This session explores how AI technologies are enabling personalised care, improving clinical outcomes, and advancing the future of medicine.

Join us to understand how AI-driven analytics are uncovering patterns in patient data, supporting early diagnosis, and tailoring treatment plans to individual needs. Gain insights into the potential of AI to revolutionise patient care and enhance decision-making for healthcare professionals.

We will discuss advancements in predictive analytics, patient risk stratification, and AI-powered clinical tools, highlighting their implications for healthcare innovation and delivery. Join us to explore how AI is shaping the future of personalised medicine and patient-centric care.

Join this session to:

  • Discover how AI is being used to generate actionable insights from patient data, supporting personalised treatment plans and improving outcomes.
  • Explore real-world applications of AI in healthcare, including early diagnosis, risk prediction, and treatment optimisation.
  • Learn how AI technologies are helping healthcare professionals make more informed decisions, improving efficiency and patient satisfaction.
  • Hear from leading AI researchers and healthcare experts as they share insights into the latest AI advancements and their impact on patient care.

 

What is a DLF event

The Digital Leadership Forum is a membership community of innovative digital leaders from some of the world’s leading organisations including HSBC, GSK, BT, BDO, Pinsent Masons, Freshfields, G4S and many more

We run sessions for our members online and face-to-face on Digital Marketing; Analytics and Automation; Digital Customer Experience, Agility; Metaverse, ChatGPT and Generative AI; Data Ethics.