Biophysics inspired artificial intelligence for colorectal cancer characterization

A feasibility study assessing quantitative indocyanine green angiographic predictors of reconstructive complications following nipple-sparing mastectomy

“…This model was developed on explainable mechanistic biophysics and statistical associations. 31 Other clinical applications of AI 32 used deep learning. This type of AI requires training with thousands of still images and is less explainable, with concerns of unpredictable bias.…”