Shenzhen University researchers, with industry partners, developed a black phosphorus-based all-fiber photonic AI platform for medical diagnosis. Built around a microfiber knot resonator, a black phosphorus and molybdenum disulfide heterostructure, and a specialized architecture, the system enables low-power, high-speed optical computing. In clinical tests, it performed well in retinal detachment and liver cancer diagnosis, matching senior radiologists while greatly improving energy efficiency and latency. The work points toward scalable, sustainable photonic AI for healthcare applications.