AI Healthcare: Deep Dive – AI in Medical Imaging Analysis

Thursday 23rd Jan 2025 @ GMT 10:00 - 11:00

Zoom | UK

A hands-on session to explore advanced machine-learning techniques for image analysis

Register

About the event

Examine the transformative impact of AI on disease diagnosis and prognosis at the forefront of medical innovation.

This event will explore advanced machine learning methodologies changing medical imaging, pattern recognition, and predictive analytics. Gain insights into how these technologies are enabling earlier and more accurate detection of diseases, identifying biomarkers, and tailoring treatment plans to individual patients.

We will discuss cutting-edge developments in neural networks, computer vision, and multimodal data integration, highlighting their implications for clinical workflows and decision-making. Join us to assess the technical and clinical advancements shaping the future of diagnostics and personalised medicine.

Join this session to:

  • Discover advanced machine learning techniques driving innovations in image analysis for disease diagnosis, from radiology to pathology.
  • Explore real-world case studies showcasing AI-powered diagnostics and treatment plans that are improving patient outcomes and reshaping clinical workflows.
  • Learn how AI is enhancing the accuracy and speed of diagnostic processes, enabling earlier and more precise interventions.
  • Hear from top AI researchers and healthcare professionals as they share insights into the latest AI breakthroughs and their impact on disease prognosis and treatment.

Event Speakers

Chris Mcspiritt

VP, Life Sciences Strategy

Domino

Cerys Wyn Davies

Partner

Pinsent Masons

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.