Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings

By David Riaño, Szymon Wilk, Annette ten Teije. Lecture Notes in Computer Science, 2019

388 citations recorded by the source corpus.

The deployment of Artificial Intelligence in healthcare is extremely promising and although AI is no panacea, harnessing patient data will lead to precision medicine, help detect disease before they manifest and support independent living for the elderly, amongst many other things. However, this progress will not be without challenges from both an ethical and privacy standpoint. These issues need understanding from policy makers and developers alike for AI to be embraced responsibly.

Subfields: Artificial Intelligence, Health Informatics

View Paper: https://www.semanticscholar.org/paper/f539efa2db4c64ce9e7507bab1f63a43252b134f

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Citations in the corpus

• Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review (2019, background): “Apart from the highly publicized role of AI in radiological diagnosis, other applications include use as an adjunct to the ideal management of cancer or chronic illnesses such as chronic mental disorders [4], particularly regarding the choice of medication with the best response and side effect prof”