A deep learning system for differential diagnosis of skin diseases
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most
cases are seen instead by general practitioners with lower diagnostic accuracy. We present …
cases are seen instead by general practitioners with lower diagnostic accuracy. We present …
Development and assessment of an artificial intelligence–based tool for skin condition diagnosis by primary care physicians and nurse practitioners in …
Importance Most dermatologic cases are initially evaluated by nondermatologists such as
primary care physicians (PCPs) or nurse practitioners (NPs). Objective To evaluate an …
primary care physicians (PCPs) or nurse practitioners (NPs). Objective To evaluate an …
Evaluating AI systems under uncertain ground truth: a case study in dermatology
For safety, AI systems in health undergo thorough evaluations before deployment, validating
their predictions against a ground truth that is assumed certain. However, this is actually not …
their predictions against a ground truth that is assumed certain. However, this is actually not …