About
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.
Agenda
Speakers
M Jorge Cardoso is a Reader in Artificial Medical Intelligence at King’s College London, where he leads a research portfolio on big data analytics, quantitative radiology and value-based healthcare. Jorge is also the CTO of the new London Medical Imaging and AI Centre for Value-based Healthcare. He has more than 15 years of expertise in advanced image analysis, big data, and artificial intelligence, and co-leads the development of project MONAI, a deep-learning platform for artificial intelligence in medical imaging.
