Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.
All Keywords
【저자키워드】 COVID-19, public health, SARS-CoV-2, pandemic, artificial intelligence, prevention, precision medicine, Epidemic, Personalized medicine, monitoring, literature, 【초록키워드】 Drug repurposing, Health care, COVID-19 pandemic, artificial intelligence, Epidemics, Triage, Diagnosis, risk, outcomes, Health, outbreak, Patient, pharmacogenomics, Care, public health systems, public health system, highlight, IMPROVE, 【제목키워드】 Medicine, artificial, development, Area,
【저자키워드】 COVID-19, public health, SARS-CoV-2, pandemic, artificial intelligence, prevention, precision medicine, Epidemic, Personalized medicine, monitoring, literature, 【초록키워드】 Drug repurposing, Health care, COVID-19 pandemic, artificial intelligence, Epidemics, Triage, Diagnosis, risk, outcomes, Health, outbreak, Patient, pharmacogenomics, Care, public health systems, public health system, highlight, IMPROVE, 【제목키워드】 Medicine, artificial, development, Area,
인공 지능(AI) 기술은 전염병을 예방, 감지 및 모니터링하는 데 중요한 역할을 할 수 있습니다. 이 문서에서 우리는 4가지 전략적 영역에서 COVID-19 범유행에 대해 최근에 출판된 문헌의 개요를 제공합니다: (1) 분류, 진단 및 위험 예측; (2) 약물 용도 변경 및 개발; (3) 약물유전체학 및 백신; (4) 의학 문헌의 채굴. AI 기반 의료를 통해 공중 보건 시스템이 미래의 발병을 효율적으로 처리하고 환자 결과를 개선할 수 있는 방법을 강조합니다.