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Showing 1–6 of 6 results
Advanced filters: Author: Oishi Banerjee Clear advanced filters

  • A large-scale study examined the heterogeneous effects of artificial intelligence (AI) assistance on 140 radiologists across 15 chest X-ray diagnostic tasks and found that conventional experience-based factors, such as years of experience, subspecialty and familiarity with AI tools, fail to reliably predict the impact of AI assistance.

    • Feiyang Yu
    • Alex Moehring
    • Pranav Rajpurkar
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 837-849

  • This review discusses generalist medical artificial intelligence, identifying potential applications and setting out specific technical capabilities and training datasets necessary to enable them, as well as highlighting challenges to its implementation.

    • Michael Moor
    • Oishi Banerjee
    • Pranav Rajpurkar
    Reviews
    Nature
    Volume: 616, P: 259-265

  • AI has the potential to reshape medicine and make healthcare more accurate, efficient and accessible; this Review discusses recent progress, opportunities and challenges toward achieving this goal.

    • Pranav Rajpurkar
    • Emma Chen
    • Eric J. Topol
    Reviews
    Nature Medicine
    Volume: 28, P: 31-38