헬스케어에 인공지능 기술의 적용 및 확대

With the increase of data collected from mobile and collectable medical data, the development, research and application of artificial intelligence technology in healthcare is expanding. This paper explains the considerations when applying artificial intelligence technology to healthcare services based on the artificial intelligence technology process. We look at it from the perspective of data collection, data preprocessing, learning and modeling. Through this, a systematic modeling method for developing artificial intelligence services using healthcare data closely related to health will be examined. AI in healthcare should be applied not only with AI modeling, but also with defining actionable problems and utilizing expert knowledge. As a practical application example, based on medical and clinical data collected in hospitals, AI cases in medical support services and AI application cases in daily management using mobile data will be reviewed. Lastly, by utilizing medical/clinical support services, daily management data, and health checkup data together, we suggest the possibility of expanding into more effective personalized health care services. The application of AI models using various data increases the complexity of analysis, but it is an unavoidable process to provide more accurate personalized healthcare services. In the future, more data will be collected in everyday life. The application of AI technology to daily data and medical data will be the future direction of healthcare services.