Insights from teaching AI to medical students
Medical students need to learn about appropriate applications of AI, but only very few health professional schools are offering sufficient tuition
2 minute read
Decoding artificial intelligence to achieve diagnostic excellence
If a clinician can better understand the underlying mechanisms of diagnostic AI, they can perhaps appreciate both their advantages and limitations
2 minute read
How do patients feel about AI in healthcare?
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
2 minute read
The association of cardiovascular conditions with COVID-19 severity among pediatric patients
Children with a prior cardiac event are at increased risk of severe COVID-19 disease
2 minute read
cardiology
Synthetic data in machine learning for medicine and healthcare
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
2 minute read
cardiology
Swarm learning for decentralized artificial intelligence in cancer histopathology
Histopathology images from patients with hematoxylin and eosin stained pathology slides of colorectal cancer were part of a swarm learning strategy
2 minute read
cardiology
The “coherent data set”: combining patient data and imaging in a comprehensive, synthetic health record
A contribution to the medical community as a concept for AI adoption without having to access data directly
2 minute read
cardiology
Deep learning is hitting a wall
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
2 minute read
cardiology
The medical algorithmic audit
A very good read for clinicians and data scientists
2 minute read
