Literature
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
An essential checklist for machine learning models with cardiovascular imaging
An essential checklist for machine learning models with cardiovascular imaging
The unmissable article that surveys recent progress in the development of modern computer vision techniques—powered by deep learning—for medical applications
The second part of your essential glossary of AI's key terms and phrases
Artificial intelligence has its own language. So here’s part one of your essential A-Z guide to speaking AI like a native
The paper that elucidated the methodology behind DeepMind’s recent landmark achievement in molecular biology
In a close clinician-data scientist collaboration, the long awaited inaugural issue of new journal, Intelligence-Based Medicine is now available
The latest developments in machine learning and what they mean for the future of medical image analysis?
Despite a newfound wealth of data and information, the healthcare sector is lacking in actionable knowledge. This is largely because healthcare data, though plentiful, tends to be inherently complex and fragmented. Health data analytics, with an emphasis on predictive analytics, is emerging as a tra
The key landmarks of the vital role of innovation in delivering better healthcare