Little is known about how patients view the use of AI in healthcare and whether they have concerns. This study helps to understand public perceptions of the use of AI in diagnosis and treatment
Children with a prior cardiac event are at increased risk of severe COVID-19 disease
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy
Histopathology images from patients with hematoxylin and eosin stained pathology slides of colorectal cancer were part of a swarm learning strategy
A contribution to the medical community as a concept for AI adoption without having to access data directly
We need more “intelligent” AI that can deal with new and outlier situations and this cannot come simply from more data and deep learning alone
Ignoring or restricting explainable AI is detrimental to its adoption
Tracking themes, development maturity, and global equity