# US 2018/0025112 A1 · Medical information processing system and medical information processing method

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- Number: US 2018/0025112 A1
- Document ID: US20180025112A1
- Status: Published application
- Kind: A1
- Application number: 15/642,724
- Filed: 2017-07-06
- Published: 2018-01-25
- Earliest claimed: 2016-07-22
- Assignees: Topcon Corporation
- Applicants: Topcon Corporation
- Inventors: Noriyasu TAKEDA
- Web page: https://patentgrep.com/patent/US20180025112A1

## CPC

- G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS
- G06F 18/24: Classification techniques
- G06N 3/004: Artificial life, i.e. computing arrangements simulating life
- G06N 20/00: Machine learning
- G06T 7/0014: {using an image reference approach}
- G06V 10/764: using classification, e.g. of video objects
- G06V 40/197: {Matching; Classification}
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G06T 2207/10024: Color image
- G06T 2207/10056: Microscopic image
- G06T 2207/10068: Endoscopic image
- G06T 2207/20081: Training; Learning
- G06T 2207/20084: Artificial neural networks [ANN]
- G06T 2207/30041: Eye; Retina; Ophthalmic
- G06V 2201/03: Recognition of patterns in medical or anatomical images
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

## Abstract

An aspect of a medical information processing system according to an exemplary embodiment includes an artificial intelligence engine that processes medical information based on a database. The medical information processing system includes a reception unit, first classification processor, selection processor, and second classification processor. The reception unit receives medical information comprising a medical image. The first classification processor classifies, based on the database, the medical image into a category among two or more categories set in advance. The selection processor selects a category among the two or more categories based on the medical information. The second classification processor classifies the medical image into a singular category when the category determined by the first classification processor and the category determined by the selection processor do not agree with one another.

## Claims

### Claim 1

A medical information processing system comprising an artificial intelligence engine that processes medical information based on a database, the medical information processing system comprising:
a reception unit configured to receive medical information comprising a medical image;
a first classification processor configured to classify, based on the database, the medical image into a category among two or more categories set in advance;
a selection processor configured to select a category among the two or more categories based on the medical information; and
a second classification processor configured to classify the medical image into a singular category when the category determined by the first classification processor and the category determined by the selection processor do not agree with one another.

### Claim 2 (depends on 1)

The medical information processing system of claim 1, further comprising a classification adjustment processor configured to adjust an operation parameter of the first classification processor based on a medical image that is classified into the singular category by the second classification processor.

### Claim 3 (depends on 2)

The medical information processing system of claim 2, wherein the classification adjustment processor determines a first value of the operation parameter based on the medical image that is classified into the singular category, and a second value of the operation parameter based on a medical image for which the category determined by the first classification processor and the category determined by the selection processor agree with one another.

### Claim 4 (depends on 1)

The medical information processing system of claim 1, further comprising a knowledge acquisition processor configured to acquire medical knowledge based on a plurality of medical images that are classified into the singular category by the second classification processor.

### Claim 5 (depends on 4)

The medical information processing system of claim 4, wherein the knowledge acquisition processor acquires first medical knowledge based on the medical image that is classified into the singular category, and acquires second medical knowledge based on a medical image for which the category determined by the first classification processor and the category determined by the selection processor agree with one another.

### Claim 6 (depends on 1)

The medical information processing system of claim 1, wherein the medical image is an image of a subject's eye.

### Claim 7 (depends on 6)

The medical information processing system of claim 6, wherein
the database stores feature information indicating an anatomical feature of an eye in advance, and
the artificial intelligence engine executes processing based on the database comprising the feature information.

### Claim 8 (depends on 7)

The medical information processing system of claim 7,
further comprising a right/left determination processor configured to determine whether the image of the subject's eye is a right eye image or a left eye image, wherein
the feature information comprises right eye information indicating an anatomical feature of a right eye and left eye information indicating an anatomical feature of a left eye, and
the artificial intelligence engine executes processing based on at least the right eye information when the image of the subject's eye is determined to be the right eye image, and executes processing based on at least the left eye information when the image of the subject's eye is determined to be the left eye image.

### Claim 9

A method of processing medical information using a computer comprising an artificial intelligence engine that executes processing based on a database, wherein the computer executes the steps of:
receiving medical information comprising a medical image;
classifying, based on the database, the medical image into a category among two or more categories set in advance;
selecting a category among the two or more categories based on the medical information; and
classifying the medical image into a singular category when the category into which the medical image is classified and the category selected based on the medical information do not agree with one another.