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.
Features and comment
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.
More from Nature Research
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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.