How to enable sharing of data from 1 million healthcare machines in all 500 children’s hospitals in the world? Key considerations include how to access diverse datasets to drive deep learning training, how to preserve privacy, and how to deploy the AI to the point of care.

A key challenge for healthcare organizations across the world is adopting and scaling innovation. Alignment of operational and clinical strategies is critical in order for tech leaders to deliver success.

Engaging regulators and startup founders with demonstrable experience of securing CE marks, FDA approval and so on.

A practical workshop addressing some of the prevailing ethical challenges in healthcare AI, including trust, bias, data privacy, and explainability.

Offering a dual perspective on the applications of AI in population health. This session will feature provider organizations detailing how they are deploying AI to reduce risk, and payers focusing on advanced data analysis for preventive care.

This session will deliver real use cases in the deployment of AI in medical imaging. It will be split into three parts: project design, implementation, and evaluation.