Artificial intelligence technologies are making substantial inroads into clinical diagnostics. Johns Hopkins researchers devised an AI method to identify neural signatures of schizophrenia and bipolar disorder in cultured brain organoids with up to 96% accuracy. The University of Miami is leading a $16 million initiative harnessing AI for improved breast cancer mammography reading. Additionally, AI models predict traumatic brain injury patient improvements and automate pulmonary hypertension detection in newborns. These innovations highlight AI’s growing role in augmenting diagnostic precision and informing therapeutic decisions.