The invention discloses an AI-based eye postoperative
nursing method and
system, and relates to the technical field of intelligent
medical treatment, and the method comprises the steps: obtaining eye postoperative image data of a patient; analyzing an oculentum covering state of the
ocular surface by using an
artificial intelligence model and identifying an oculentum loss position; according to the loss position of the oculentum, the multi-point oculentum supplementing mechanism is automatically controlled to carry out accurate dispensing; according to the
eyelash density, the trichiasis condition and the
eyelid shape of a patient, the opening and closing states of the air holes are automatically adjusted, and
sodium hyaluronate atomization is started for moisturizing; a patient is supported to preset a moisturizing mode, and a moisturizing enhancement program matched with the current eye environment is automatically executed when it is recognized that the oculentum is lost. Eye ointment loss is accurately recognized through near-
infrared imaging and AI segmentation, supplementary application is conducted according to needs, the moisturizing environment is dynamically adjusted in combination with individualized anatomical characteristics, the liquid
medicine deposition efficiency is remarkably improved, and dissipation is reduced; and a preset mode and a time-limited enhanced reinspection mechanism are combined, so that the
exposure keratitis risk is remarkably reduced.