A Calibrated and Conformal Deep Learning Framework for Trustworthy Antinuclear Antibody Pattern Recognition with Selective Referral to Experts
Reading antinuclear antibody patterns on human epithelial cells by indirect immunofluorescence is the reference screen for systemic autoimmune rheumatic diseases, but it is slow, subjective, and variable between observers. Deep learning reaches high accuracy on this task, yet most systems return a single prediction wit...