Building Safe and Scalable Clinical AI — Insights from King’s College London and deepcOS®

Dr. Jorge Cardoso, Reader in Artificial Medical Intelligence at King’s College London and CTO of the London Medical Imaging and AI Centre for Value-Based Healthcare, shares how deepcOS® supports safe, scalable, and clinically meaningful AI integration.

At King’s College London, Dr. Cardoso leads a 15–20-person research group within the School of Biomedical Engineering and Imaging Sciences, home to over 600 academics and researchers focused on innovation in digital health and imaging AI.

In this interview, he explains:

Why research needs full-lifecycle AI platforms from data collection to deployment
How deepcOS® bridges the gap between research innovation and clinical implementation
The importance of AI safety, generalizability, and monitoring in real-world use
How open-source initiatives like Project MONAI advance global collaboration in AI development

AI in healthcare is moving beyond theory into safe clinical practice. With deepcOS®, researchers and hospitals gain a trusted infrastructure to deploy and monitor algorithms across diverse datasets, ensuring fairness, transparency, and patient safety.

Learn more: https://www.deepc.ai

Видео Building Safe and Scalable Clinical AI — Insights from King’s College London and deepcOS® канала deepc GmbH