AI and digital health

The pharmaceutical industry is in a drug-discovery slump. How much can AI help?

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

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

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

Artificial intelligence is beginning to be applied in the medical setting and has potential to improve workflows and errors, impacting patients and clinicians alike.

This Review summarizes the medical applications of artificial intelligence, and its economic, legal and social implications for healthcare.

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.

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.

The safety and security of medical devices driven by software, the software-development processes, and the need for data collection and privacy, all offer challenges and opportunities for device regulation and clinical care.