给出诊断是治疗患者的第一步。一旦确诊，挑战就变成了长期管理健康状况——在多次就诊中追踪症状、解读不断更新的临床指南，并精细调整用药方案。
今天发表在《自然》杂志上的研究展示了 Articulate Medical Intelligence Explorer（AMIE）的能力，这是我们用于医学推理和对话的一流研究型 AI 系统。该系统已从一次性诊断对话演进为利用药物处方集和临床指南进行长期疾病管理。
利用 Gemini 模型的超长上下文能力，用于疾病管理的 AMIE 配备了一个用于实时患者对话的共情对话智能体，以及一个深度思考的管理推理智能体，可交叉引用数百页权威临床知识。在这项与患者演员进行的盲法研究中，专科医生将 AMIE 与 21 名初级保健医生进行了比较。AMIE 在整体管理推理方面与临床医生相当，并在方案精确度和指南一致性方面得分显著更高，这表明 AI 未来有望支持医疗护理，让医生有更多时间与患者相处。
下一步：我们正在探索 AMIE 如何在临床环境中发挥作用，并启动了一项全国性研究，以评估 AI 在真实世界虚拟护理中的应用。
谷歌关于医疗 AI 用于疾病管理的新研究今天发表在《自然》杂志上。（图片来源：谷歌，经《自然》杂志许可使用。）
Giving a diagnosis is the first step in treating a patient. Once a diagnosis is established, the challenge becomes managing a health condition over time — tracking symptoms across multiple appointments, parsing guidelines as they’re updated and fine-tuning medications.
Research published today in “Nature” shows the capabilities of the Articulate Medical Intelligence Explorer (AMIE), our best-in-class research AI system for medical reasoning and conversations, evolving from one-off diagnostic conversations to long-term disease management using drug formularies and clinical guidelines.
Using the long-context capabilities of Gemini models, AMIE for disease management features an empathetic dialogue agent for real-time patient conversations and a deep-thinking management reasoning agent that cross-references hundreds of pages of authoritative clinical knowledge. In this blinded study with patient actors, specialist physicians compared AMIE with 21 primary care doctors. AMIE matched clinicians in overall management reasoning and scored significantly higher in plan preciseness and guideline alignment, which suggests AI could someday support medical care, giving physicians more time to spend with patients.
Next up: We're exploring how AMIE could work in clinical settings, and we launched a nationwide study to assess AI in real-world virtual care.
Google's new research on medical AI for disease management was published in "Nature" today. (Credit: Google, with permission from "Nature.")