AI 의료시스템에 관한 국내 연구 동향분석

• 영문명: Analysis of Domestic Research Trends on AI(Artificial Intelligence) Medical Systems
• 발행기관: 한국건강간호융합학회
• 저자명: 이현예(Hyun Ye Lee) 김한별(Han Byeol Kim) 정희주(Hee Joo Jung) 김서영(Seo Young Kim) 한서현(Seo Hyun Han) 김예나(Ye Na Kim) 박선정(Sun Jung Park) 김유미(Yu Mi Kim)
• 간행물 정보: 『한국건강간호융합학회지』제1권 제2호, 67~75쪽, 전체 9쪽
• 주제분류: 의약학 > 간호학
• 파일형태: PDF
• 발행일자: 2024.08.31

국문 초록

Purpose : This study was conducted to analyze research published in domestic academic journals on AI medical systems and to suggest future research directions for AI medical systems. Method : This descriptive survey study analyzed papers related to AI medical systems published in domestic academic journals from January 2017 to January 2024. The main keywords used for the search were ‘AI medical’ and ‘AI medical system’, and a total of nine papers were analyzed. Results : Upon reviewing the number of research publications per year, it was found that five papers (55.6%) were published between 2020 and 2021, the highest number. This was followed by two papers (22.2%) each for the periods 2017 and 2024. All studies were designed as quantitative research. The main keywords included medical AI technology, medical big data, AI technology, core technologies for medical AI, medical robots, artificial intelligence, development of medical service robots, AI technology for predicting cancer prognosis based on medical imaging, AI IoT application services for senior health management in the community, healthcare big data, and the development of AI-based elderly care services. Conclusion : This study comprehensively analyzed the current state and future potential of AI medical systems. Future research should focus on addressing these challenges and maximizing the potential of AI medical systems. Through this, AI technology is expected to play an increasingly important role in the medical field.

목차

Ⅰ. 서 론

Ⅱ. 연구방법

Ⅲ. 연구결과

Ⅳ. 논 의

Ⅴ. 결론 및 제언

References

키워드

AI(Artificial Intelligence) Analysis Research Trends Systems