Mike Kotsoupolos at the Harvard Medical School website:
An artificial intelligence model built by Harvard Medical School and Massachusetts Eye and Ear scientists was shown to be significantly more accurate than doctors at diagnosing pediatric ear infections in the first head-to-head evaluation of its kind, the research team working to develop the model for clinical use reported.
According to a new study published Aug. 16 in Otolaryngology–Head and Neck Surgery, the model, called OtoDX, was more than 95 percent accurate in diagnosing an ear infection in a set of 22 test images compared with 65 percent accuracy among a group of clinicians consisting of ENTs, pediatricians, and primary care doctors, who reviewed the same images.
More here.