The article is part of a three-part series on AI and infectious diseases and highlights how artificial intelligence will radically change healthcare. Data analysis can be used, for example, to detect disease outbreaks earlier, model disease progression, or better tailor public health measures. In the research sector, AI can help, among other things, to design active ingredients or find new areas of application for existing drugs, which significantly reduces development time and costs. At the same time, the article also identifies the challenges of using AI: Data is often fragmented and difficult to compare, and many AI models lack clinical validation. There are also unresolved issues regarding data protection and regulation.

The four additional authors, Anna Odone, Chiara Barbati, Silvia Amadasi, and David B. Resnik, conduct research in the fields of public health, medicine, and bioethics. In general, the journal is aimed at professionals in these fields. In information boxes, Tanja Schultz explains the technical terms used in the articles and background information on AI, such as machine learning, deep learning, and computational linguistics, to the interdisciplinary specialist audience.

Further Information:

https://authors.elsevier.com/c/1lnbB5E-UokLDW

https://www.thelancet.com/journals/laninf/home

Contact:

Tanja Schultz
Professor of Cognitive Systems
Faculty of Mathematics / Computer Science
University of Bremen
Phone: +49 421 218-64270
Email: tanja.schultzprotect me ?!uni-bremenprotect me ?!.de