Abstract: A medical system of an aspect example includes a data acquiring unit and a data processor. The data acquiring unit is configured to acquire data from an eye fundus of a patient using at least one optical method. The data processor is configured to process the data acquired by the data acquiring unit in order to generate information on the circulatory system of the patient.

Abstract: A medical system according to an aspect example includes a data acquiring unit and a data processor. The data acquiring unit is configured to acquire from a patient two or more types of data among blood oxygen saturation data, auscultatory sound data, ocular image data, and ocular blood flow data. The data processor is configured to process the two or more types of data acquired by the data acquiring unit to detect a conditional change in a circulatory system associated with an infectious disease.

Abstract: According to a medical system of an aspect example, an ophthalmic data acquiring unit includes at least one ophthalmic examination apparatus for acquiring ophthalmic data from a patient, and an internal medicine data acquiring unit includes at least one internal medicine examination apparatus for acquiring internal medicine data from the patient. An inference processor is configured to perform inference processing using a trained model constructed by machine learning using training data that includes ophthalmic data, internal medicine data, and diagnostic result data. The inference processor generates inferred diagnostic data by performing the inference processing based at least on the ophthalmic data of the patient acquired by the ophthalmic data acquiring unit and the internal medicine data of the patient acquired by the internal medicine data acquiring unit. An output unit outputs a result of the inference processing performed by the inference processor.

Abstract: A blood flow measurement apparatus of an aspect example includes a scanning optical system, a front image acquiring unit, a region-of-interest determining processor, a scan controller, and a blood flow information acquiring unit. The scanning optical system applies OCT scanning to a fundus of a subject's eye. The front image acquiring unit acquires a front image of the fundus. The region-of-interest determining processor determines a region of interest that intersects a blood vessel by analyzing the front image based on a condition set in advance. The scan controller controls the scanning optical system to apply a repetitive OCT scan to the region of interest. The blood flow information acquiring unit acquires blood flow information based on data collected by the repetitive OCT scan.

Abstract: The blood flow analysis apparatus includes an acquisition unit and an extractor. The acquisition unit is configured to acquire blood flow information representing time-course changes in a blood flow velocity of a single retinal artery or retinal vein. The extractor is configured to extract one or more parameters corresponding to change in the blood flow velocity from the blood flow information.