ARTIFICIAL INTELLIGENCE OTOSCOPE AND OPERATINGG METHOD THEREOF

The application relates to an artificial intelligence-based otoscope device and an operation method thereof. According to one embodiment of the present invention, provided is an operation method of artificial intelligence-based otoscope device, which includes the steps of: obtaining otoscope image d...

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Bibliographische Detailangaben
Hauptverfasser:	JUNG WOONG GYU, SANZHAR ASKARULY, NURBOLAT AIMAKOV, JANG JUNG HUN, YANG HYUN MO
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY
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Beschreibung
Zusammenfassung:	The application relates to an artificial intelligence-based otoscope device and an operation method thereof. According to one embodiment of the present invention, provided is an operation method of artificial intelligence-based otoscope device, which includes the steps of: obtaining otoscope image data by photographing an inspection object; obtaining middle ear disease information from an artificial intelligence model by inputting the otoscope image data into the artificial intelligence model which outputs middle ear disease information for a test subject, when the obtained otoscope image data is input; and outputting the obtained middle ear disease information. Therefore, disease information about the ear can be automatically output using an artificial intelligence model. 본 개시는 인공지능 검이경 장치 및 이의 동작 방법에 관한 것이다. 일 실시 예에 의하면 인공지능 검이경 장치의 동작 방법은 검사 대상을 촬영함으로써 검이경 영상 데이터를 획득하는 단계; 상기 획득된 검이경 영상 데이터가 입력되면, 상기 검사 대상에 대한 중이 질환 정보를 출력하는 인공 지능 모델에 상기 검이경 영상 데이터를 입력함으로써, 상기 인공 지능 모델로부터 중이 질환 정보를 획득하는 단계; 및 상기 획득된 중이 질환 정보를 출력하는 단계; 를 포함할 수 있다.