Innovations In |

AI and digital health

Over the next decade artificial intelligence is likely to transform the biomedical world. Deep-learning algorithms could aid in developing new drugs, interpreting medical images, cleaning up electronic patient charts, and more. This special report explores the promise of this nascent revolution. 

This Innovations In is editorially independent, produced with financial support from a third party. About this content.

Features and comment

Deep-learning algorithms are peering into MRIs and x-rays with unmatched vision, but who is to blame when they make a mistake?

Innovations In | | Nature

Digitized patient charts were supposed to revolutionize medical practice. Artificial intelligence could help unlock their potential.

Innovations In | | Nature

Successfully applying AI to biomedicine requires innovators trained in contrasting cultures.

Innovations In | | Nature

More from Nature Research

Artificial intelligence (AI) tools are increasingly being applied in drug discovery. This article presents the views of a group of international experts on the ‘grand challenges’ in small-molecule drug discovery with AI, including obtaining appropriate data sets, generating new hypotheses, optimizing in a multi-objective manner, reducing cycle times and changing the research culture.

Perspective | | Nature Reviews Drug Discovery

In this Opinion article, Hosny et al. discuss the application of artificial intelligence to image-based tasks in the field of radiology and consider the advantages and challenges of its clinical implementation.

Perspective | | Nature Reviews Cancer