Transforming healthcare through AI

Lorem ipsum dolor sit amet consectetur. Consectetur mauris condimentum malesuada ac enim. Turpis tristique quisque ut egestas tortor tincidunt. Amet blandit scelerisque imperdiet quis egestas in integer maecenas. Orci aliquet eleifend id phasellus pretium. Dictumst bibendum quam viverra dolor at ac tortor aliquet in. At proin eu volutpat rhoncus. Gravida tincidunt adipiscing nullam diam donec sed vel. Egestas ac sed tellus vel elementum laoreet sed. Tristique tortor et viverra velit aenean nunc egestas.

We are pleased to announce the release of Bridge2AI-Voice v1.0, a dataset designed to advance research into the use of voice as a biomarker of health. This dataset, developed as part of the NIH Bridge2AI initiative, aims to support artificial intelligence research by providing ethically sourced, high-quality voice-derived data linked to clinical information.

The overarching goal of the ArchEHR-QA 2025 (pronounced "Archer") shared task is to develop automated responses to patients' questions by generating answers that are grounded in key clinical evidence from their electronic health records (EHRs). The proposed dataset, ArchEHR-QA, comprises hand-curated, realistic patient questions (reflective of patient portal messages), relevant focus areas identified within these questions (as determined by a clinician), corresponding clinician-rewritten versions (crafted to aid in formulating responses), and note excerpts providing essential clinical context.