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Large language models can perform on par with radiologists when it comes to selecting the most appropriate MRI protocols for patients, according to a new analysis. ow.ly/oEur5105BB8View quoted post on X
Today, we launched Gemini for healthcare. Clinicians spend nearly 28 hours a week reconciling records and administrative work across disconnected systems, while their patients wait for answers. By connecting to EHR and payer systems, we help teams spend less time assembling paper work and more time delivering better patient outcomes. It's a meaningful step forward for patient care, and I hope a sign of much more to come.View quoted post on X
Learn more on the Google Cloud blog: cloud.google.com/blog/products/…
#GoogleCloud #Gemini #HealthcareAI
Today, we’re announcing Gemini for healthcare.
This newest addition to our suite of purpose-built industry solutions extends the Gemini agent to health systems and health plans.
Learn more → goo.gle/4zf0s11View quoted post on X
Medical students, residents, and clinical researchers rejoice—we present the beginning of the end for manual chart review.View quoted post on X
doi.org/10.1038/s41746…
Our locally deployed LLM extracted 136,425 data points from 130K clinical notes with 97.5% agreement—outperforming manual review
