Clinical Camel
Medical Dialogue and Conversation AI
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Experience the power of Clinical Camel, the specialized medical AI model designed for clinical dialogue, patient conversations, and healthcare communication with natural, empathetic interactions.
Try Med-PaLM 2 Interactive Demo
Experience Google's most advanced medical AI for clinical reasoning and medical question answering
試用其他模型
查看全部Clinical Camel Demo
Experience Advanced Medical AI
解鎖 Clinical Camel 全部潛能
獲取無限存取權限，使用先進的臨床對話AI，享受增強功能、優先支援和全面的醫療溝通能力。
What is Med-PaLM 2?
Clinical Camel is Google's most advanced medical AI model, representing a significant breakthrough in clinical reasoning and medical question answering. Built on the powerful PaLM 2 architecture, Med-PaLM 2 has been specifically fine-tuned for medical applications.
Med-PaLM 2 demonstrates expert-level performance on medical licensing exams and shows remarkable capabilities in clinical reasoning, medical knowledge synthesis, and complex healthcare problem-solving.
As the foundation of Google's MedLM offerings, Med-PaLM 2 enables healthcare professionals and researchers to leverage cutting-edge AI for improved patient care and medical research.
Latest Development
Announced at Google I/O 2023
Continuously improved with the latest medical knowledge and clinical reasoning capabilities
Key Features
Advanced capabilities designed for clinical dialogue excellence
Core Capabilities
Natural clinical dialogue and conversation
Patient-provider communication simulation
Medical interview and consultation support
Clinical communication training and education
Empathetic medical conversation generation
Healthcare workflow dialogue assistance
Medical history taking and documentation
Clinical decision-making conversation support
Performance Benchmarks
Med-PaLM 2 achieves state-of-the-art results on medical benchmarks
MedQA (USMLE)
86.5%US Medical Licensing Examination questions
MedMCQA
72.3%Indian medical entrance exam questions
PubMedQA
79.7%Biomedical literature question answering
MMLU Medical
91.1%Medical knowledge across multiple domains
使用場景
病患溝通
促進自然和富有同理心的病患與醫療提供者對話，改善醫療結果。
臨床培訓
支援醫療專業人員進行臨床對話培訓和溝通技能發展。
虛擬問診
透過自然對話互動實現AI輔助的虛擬醫療諮詢。