The company's first focus is building a unified reading platform that helps radiologists across every scan and modality, spinning out from research labs at the University of California, Berkeley and University of California, San Francisco (UCSF). Voio's founding team today released Pillar-0, an open-source AI model that interprets medical images directly to recognize hundreds of conditions from CT and MRI scans with unprecedented accuracy..

公司的首要任务是建立一个统一的阅读平台，该平台源自加州大学伯克利分校和加州大学旧金山分校（UCSF）的研究实验室，旨在帮助放射科医生处理每一种扫描和成像模式。Voio的创始团队今天发布了Pillar-0，这是一个开源的人工智能模型，能够直接解读医学图像，以前所未有的准确性从CT和MRI扫描中识别出数百种病症。

Voio is a frontier AI lab dedicated to healthcare and building a unified reading platform that helps radiologists across every scan and modality. Voio's Pillar models interpret CT, MRI, and X-ray scans across hundreds of pathologies to help radiologists work faster without sacrificing accuracy. Built by UC Berkeley and UCSF faculty with a track record of deploying AI models in 92+ hospitals worldwide, Voio combines frontier AI research with rigorous clinical validation to transform healthcare from reactive and overwhelmed to proactive and empowered..

Voio是一家前沿的人工智能实验室，专注于医疗保健领域，并致力于构建一个统一的阅片平台，帮助放射科医生处理每一种扫描和成像模式。Voio的Pillar模型能够解读CT、MRI和X光扫描中的数百种病理，协助放射科医生提高工作效率，同时不降低准确性。Voio由加州大学伯克利分校和加州大学旧金山分校的教职人员创立，他们在全球92家以上医院部署人工智能模型方面有着成功记录。通过结合前沿的人工智能研究与严格的临床验证，Voio旨在将医疗保健从被动和不堪重负转变为积极主动且赋能有力。