Abstract: A method of providing information on medical personnel may be provided. The method according to an embodiment may include: receiving surgical information including information on a medical treatment department performing a surgery, information on an operating surgeon, surgical category information, and surgical code information; determining a score for each item that constitutes the surgical information on medical personnel on the basis of information on on-duty records of the medical personnel; determining a medical personnel score corresponding to the surgical information on the basis of a weighted value corresponding to the score for the each item; and providing information on the medical personnel that includes the medical personnel score.

Abstract: A display apparatus includes: a display; a user interface; a memory storing a contrast sensitivity test image and a contour sensitivity test image for measuring a visual acuity level of a user; and at least one processor configured to: through the user interface, receive a user input for identifying visual acuity information of the user, in a state in which the contrast sensitivity test image and the contour sensitivity test image are displayed on the display, based on the information stored in the memory, identify a plurality of sample images having different image qualities and corresponding to a plurality of image types based on the identified visual acuity information, in a state in which the visual acuity information of the user is identified based on the user input, identify image quality information corresponding to each of the plurality of image types.

Abstract: According to one embodiment, a reservation capacity adjustment apparatus performs: acquiring prescription information of a patient and reservation information of the patient; filtering reservation information held based on at least one piece of first information among the prescription information, and calculating a no-show rate of the reservation information; and adjusting a reservation capacity for the first information based on the no-show rate.

Abstract: A method of providing information on medical personnel may be provided. The method according to an embodiment may include: receiving surgical information including information on a medical treatment department performing a surgery, information on an operating surgeon, surgical category information, and surgical code information; determining a score for each item that constitutes the surgical information on medical personnel on the basis of information on on-duty records of the medical personnel; determining a medical personnel score corresponding to the surgical information on the basis of a weighted value corresponding to the score for the each item; and providing information on the medical personnel that includes the medical personnel score.

Abstract: An eye disease diagnosis method using artificial intelligence may include: collecting, from a database, a first eyeground image of a myopic patient who is not diagnosed with an eye disease and a second eyeground image of a myopic patient who has been diagnosed with the eye disease; learning eyeball change information by degree of myopia based on the first eyeground image, using deep learning; comparing and analyzing the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learning eyeball change information by the eye disease using deep learning; and estimating determination criteria of an eyeground image for diagnosis of the eye disease, based on a difference between the eyeball change information by the degree of myopia and the eyeball change information by the eye disease.

Abstract: An eye disease diagnosis method using artificial intelligence may include: collecting, from a database, a first eyeground image of a myopic patient who is not diagnosed with an eye disease and a second eyeground image of a myopic patient who has been diagnosed with the eye disease; learning eyeball change information by degree of myopia based on the first eyeground image, using deep learning; comparing and analyzing the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learning eyeball change information by the eye disease using deep learning; and estimating determination criteria of an eyeground image for diagnosis of the eye disease, based on a difference between the eyeball change information by the degree of myopia and the eyeball change information by the eye disease.