Method, program, and device for providing artificial intelligence-based multilingual medical history summarization and translation service

A computer program stored in a computer-readable storage medium, wherein when the computer program is executed by a processor of an apparatus, an artificial intelligence (AI)-based multilingual medical examination summarization method is performed by the processor of the apparatus and comprises:

• generating medical examination data to which unique IDs have been assigned, respectively, wherein the medical examination data comprise user's personal information and symptom and/or disease-related data of the user;
• obtaining language selection information that is information of a first language, selected among preset languages, from a user terminal;
• obtaining, from the user terminal, answer data for medical examination data corresponding to the language selection information;
• and
• classifying all of the answer data based on a unique ID corresponding to a preset item and generating summarization data by extracting a linguistic expression in the forms of the first language and terms corresponding to the preset item.

An artificial intelligence (AI)-based multilingual medical examination summarization apparatus comprising:

• a storage unit in which at least one program instruction is stored;
• and
• a processor configured to perform the at least one program instruction,
• wherein the processor
• generates medical examination data to which unique IDs have been assigned, respectively, wherein the medical examination data comprise user's personal information and symptom and/or disease-related data of the user;
• obtains language selection information that is information of a first language, selected among preset languages, from a user terminal;
• obtains answer data for the medical examination data corresponding to the language selection information from the user terminal;
• and
• classifies all of the answer data based on a unique ID corresponding to a preset item and generates summarization data by extracting a linguistic expression in the forms of the first language and terms corresponding to the preset item.