The rapid advancement of artificial intelligence (AI) has significantly impacted infection prevention and control, particularly amid the coronavirus disease 2019 (COVID-19) pandemic. AI techniques such as machine learning (ML), deep learning, and natural language processing (NLP) have successfully transformed infection prevention and control strategies. These technologies have enhanced our understanding of infectious diseases, facilitated disease transmission prediction, and improved public health emergency responses. Despite these benefits, AI technologies encounter challenges related to ethics, biosafety, and privacy, including concerns about handling medical data by private entities and its potential misuse. Effectively utilizing AI in infection prevention and control requires balancing technical potential with ethical, policy, and societal considerations. In-depth research is essential to provide guidance for the responsible and effective use of AI technologies, thereby informing public health decision-makers and practitioners.

Disease Surveillance, Outbreak Prediction, and Contact Tracing

AI plays a crucial role in the surveillance and prediction of infectious disease outbreaks. Its ability to process diverse types of data allows healthcare authorities to take proactive measures.

source: The Implications of Artificial Intelligence on Infection Prevention and Control: Current Progress and Future Perspectives

Lin Yang 1, Shuya Lu 1, Lei Zhou 2,*

Article The Implications of Artificial Intelligence on Infection Pre...