Open AccessArtificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
Author(s) -
Enrico Santus,
Nicola Marino,
Davide Cirillo,
Emmanuele Chersoni,
Arnau Montagud,
Antonella Santuccione Chadha,
Alfonso Valencia,
Kevin S. Hughes,
Charlotta Lindvall
Publication year - 2021
Publication title -
jmir. journal of medical internet research/journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/22453
Subject(s) - repurposing , triage , covid-19 , pharmacogenomics , pandemic , precision medicine , health care , public health , drug development , data science , computer science , artificial intelligence , medicine , medical emergency , engineering , political science , nursing , disease , drug , pathology , psychiatry , law , infectious disease (medical specialty) , pharmacology , waste management
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.