Abstract: To provide a fundus information acquisition method that allows observation and photography to be conducted using an optical system of a simple and easy configuration without the need for accurate alignment of the imaging unit with a test eye even when there is a distance from the test eye. A fundus information acquisition method is provided with an infinity-corrected optical system that uses an imaging unit placed opposite an objective lens that causes light passing through the objective lens to form an image as part of a fundus image of a test eye, where at least a site defined by a range of a pupil of the test eye out of a cornea and a crystalline lens of the same test eye is used as the objective lens opposed to a fundus of the test eye.

Abstract: An ophthalmic system includes an acquiring unit which acquires a moving image of a subject's eye captured by an imaging apparatus that opposes a subject, an analyzing unit which specifies an analysis object region in the subject's eye based on the moving image and which analyzes a spatial and/or temporal distribution of information related to characteristics of a surface of the subject's eye in the analysis object region, an assessing unit which assesses a possibility of the subject's eye being affected by a predetermined ophthalmic disease based on the distribution of information related to the characteristics and which generates a classification result of classifying the subject's eye into a predetermined classification group related to the affection of the ophthalmic disease in accordance with a degree of the possibility, and a diagnosis support information generating unit which generates diagnosis support information.

Abstract: A prognosis determination device including an acquisition unit that acquires a medical image and a biological parameter that are related to a disease of a subject; and an output unit that inputs, to a discriminator, information on the medical image, information on the biological parameter, and information on treatment to be performed, and causes the discriminator to output information on a prognosis for a case where the treatment is performed, in which the discriminator has been generated through a machine learning process based on actual treatment data and interpolation treatment data, the actual treatment data is data on the treatment that has been actually performed, the actual treatment data including a pretreatment medical image as well as a pretreatment biological parameter of a patient, information on the treatment performed on the patient, and information on a prognosis for the patient after the treatment, and the interpolation treatment data is information for interpolating a posttreatment prognosis

Abstract: An information processing apparatus that comprises a processor configured to: acquire an image acquisition unit that acquires a medical image; extract one or more image feature values from the medical image; infer one or more diseases predicted from the medical image based on the one or more image feature values and a classification basis, the classification basis being a set of C basis vectors with each basis vector representing correlations between a disease of a set of C diseases and other diseases by using a vector of a certain dimension, wherein C is an integer of 2 or more; and output results identifying the one or more inferred diseases.