For safety, AI systems in health undergo thorough evaluations before
dep...
Concept bottleneck models (CBMs) (Koh et al. 2020) are interpretable neu...
Machine learning (ML) holds great promise for improving healthcare, but ...
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
We develop and rigorously evaluate a deep learning based system that can...
Transfer learning is a standard technique to improve performance on task...
Self-supervised pretraining followed by supervised fine-tuning has seen
...
We introduce a machine learning workflow to search for, identify, and
me...