Large multimodal models present "novel" risks to the healthcare landscape compared to other types of AI, according to the World Health Organization.
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As more healthcare data heads to the cloud as part of organizations' digitization efforts, the market for the technology to support the transition is booming.
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Building on its earlier work in developing AI models for healthcare, Google has made its new MedLM library of foundation models generally available.
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With a pair of announcements at last week's re:Invent conference, AWS solidified its position as a major provider of cloud infrastructure services to the healthcare industry.
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GPT-4 outperforms other large language models -- and, occasionally, human doctors -- in multiple radiology tasks, according to a new Microsoft research paper.
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It's no secret that healthcare is a particularly lucrative target of cybersecurity attacks, but generative AI threatens to make the problem worse.
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Biotech giant Roche is partnering with medical analytics firm Ibex and the Amazon Web Services cloud to bring advanced AI algorithms to the area of digital pathology.
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Financial giant Morgan Stanley has identified four areas in healthcare where AI adoption could drive the most innovation -- and, potentially, the most financial gains.
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An upcoming enhancement to Vertex AI Search, Google's generative AI-powered enterprise search solution, will help medical providers sift through patient health data using natural language prompts.
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Nuance, maker of AI-powered transcription solutions for healthcare providers, has renamed (and relaunched) a key piece of its portfolio to be more in line with new owner Microsoft's branding.
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