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Showing 1–5 of 5 results
Advanced filters: Author: Lars Riedemann Clear advanced filters
  • Transparent and mandatory feedback-collection mechanisms should be integrated into AI-enabled digital health technology interfaces for holistic development and patient safety.

    • Rebecca Mathias
    • Baptiste Vasey
    • Stephen Gilbert
    Comments & Opinion
    Nature Medicine
    Volume: 31, P: 370-375
  • Functionalized InAs quantum dots emitting in the short-wavelength infrared spectral region enable functional biomedical imaging at unprecedentedly high spatial resolution, deep penetration and fast acquisition speeds.

    • Oliver T. Bruns
    • Thomas S. Bischof
    • Moungi G. Bawendi
    Research
    Nature Biomedical Engineering
    Volume: 1, P: 1-11
  • Magneto-fluorescent nanoparticles hold promise for bioimaging applications, but synthesizing uniform particles with tunable sizes remains challenging. Chen et al. propose an approach for co-assembling magnetic particles with fluorescent quantum dots, leading to well-defined core-shell structures.

    • Ou Chen
    • Lars Riedemann
    • Moungi G. Bawendi
    Research
    Nature Communications
    Volume: 5, P: 1-8
  • Large language models (LLMs) are increasingly applied in medical documentation and have been proposed for clinical decision support. We argue that the future for LLMs in medicine must be based on transparent and controllable open-source models. Openness enables medical tool developers to control the safety and quality of underlying AI models, while also allowing healthcare professionals to hold these models accountable. For these reasons, the future is open.

    • Lars Riedemann
    • Maxime Labonne
    • Stephen Gilbert
    News & ViewsOpen Access
    npj Digital Medicine
    Volume: 7, P: 1-5