Rohan Paul@rohanpaul_ai
61AI 编辑部评分,满分 100

Google DeepMind 推出实时视频AI协诊系统

2026-05-01 02:33· 108天前
AI 导读

Google DeepMind 近日发布 AI co-clinician 协诊系统,这是一个多模态代理系统,旨在辅助医护人员,并在医生监督下运行。系统采用双代理架构:一个模块与患者对话,另一模块实时监控交互边界,能检索并验证临床级证据。在开放式药物问答中,其表现超越前沿模型,更贴合真实医疗场景的复杂性。评估聚焦临床实际关切,如避免错误陈述或遗漏关键信息。在98项初级保健模拟查询中,医生对其偏好超过主流证据合成工具;在97例NOHARM风格评估中未出现严重错误。

Google DeepMind's real-time video AI doctor is here.

They just introduced AI co-clinician, a triadic care system built to work under a doctor's supervision during patient care.

The system is built to retrieve clinical-grade evidence, verify it, and in patient-facing simulations use a dual-agent setup where one module talks while another watches for boundary violations.

It also beat other frontier models on open-ended drug questions, because real medicine arrives as messy patient cases, not multiple-choice exams.

DeepMind evaluated it against the failure modes clinicians actually care about: saying the wrong thing, or failing to surface the crucial thing.

In 98 realistic primary care evidence queries, physicians preferred the co-clinician to leading evidence-synthesis tools, and the system logged zero critical errors in 97 cases under their NOHARM-style evaluation.

Google DeepMindAI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here's a snapshot ...

来源:Rohan Paul · x.com

Google DeepMind 推出实时视频AI协诊系统

Rohan Paul · @rohanpaul_ai · X·2026-05-01 02:33·108天前
AI 导读

Google DeepMind 近日发布 AI co-clinician 协诊系统,这是一个多模态代理系统,旨在辅助医护人员,并在医生监督下运行。系统采用双代理架构:一个模块与患者对话,另一模块实时监控交互边界,能检索并验证临床级证据。在开放式药物问答中,其表现超越前沿模型,更贴合真实医疗场景的复杂性。评估聚焦临床实际关切,如避免错误陈述或遗漏关键信息。在98项初级保健模拟查询中,医生对其偏好超过主流证据合成工具;在97例NOHARM风格评估中未出现严重错误。

Google DeepMind's real-time video AI doctor is here.

They just introduced AI co-clinician, a triadic care system built to work under a doctor's supervision during patient care.

The system is built to retrieve clinical-grade evidence, verify it, and in patient-facing simulations use a dual-agent setup where one module talks while another watches for boundary violations.

It also beat other frontier models on open-ended drug questions, because real medicine arrives as messy patient cases, not multiple-choice exams.

DeepMind evaluated it against the failure modes clinicians actually care about: saying the wrong thing, or failing to surface the crucial thing.

In 98 realistic primary care evidence queries, physicians preferred the co-clinician to leading evidence-synthesis tools, and the system logged zero critical errors in 97 cases under their NOHARM-style evaluation.

Google DeepMindAI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here's a snapshot ...

来源:Rohan Paul· x.com