TABLE 1.

Applications of artificial intelligence in healthcare and biomedical field

Research	Detection	Prevention	Clinical development	Response	Recovery
Collecting and synthesizing information Molecular interaction and drug identification by data mining Elucidation of disease mechanism Generation and selection of drug candidate	Analysis of data and early warning for communicable/non‐communicable disease Disease diagnosis by pattern recognition using symptom data and medical images	Prediction by calculating a person's probability of infection Surveillance to monitor and track infectious agent in real time Deciphering appropriate information by analysing personalized news and moderating contents to fight misinformation	Design of trials Selection of site to conduct trials Recruitment optimisation Prediction of toxicity and risk monitoring Monitoring of drug adherence	Assistance in delivery (Robots for high exposure task in hospitals and drones for transport of materials) Service automation by deploying virtual assistants and chatbots	Monitoring to track the economic recovery through satellites, GPS and social media

Abbreviation: GPS, global positioning system.