BiomedCLIP
Medical Image-Text Understanding Model
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Experience the power of BiomedCLIP, the advanced CLIP-based medical AI model that seamlessly bridges visual and textual understanding in healthcare, enabling sophisticated multimodal medical analysis.
Try Med-PaLM 2 Interactive Demo
Experience Google's most advanced medical AI for clinical reasoning and medical question answering
다른 모델 체험
전체 보기BiomedCLIP Demo
Experience Advanced Medical AI
BiomedCLIP 전체 잠재력 잠금 해제
향상된 기능, 우선 지원 및 포괄적인 다중 모달 분석 기능으로 고급 의료 이미지-텍스트 이해에 무제한 액세스를 얻으세요.
What is Med-PaLM 2?
BiomedCLIP 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 medical image-text understanding
Core Capabilities
Medical image-text alignment and understanding
Zero-shot medical image classification
Biomedical visual-semantic embedding
Medical image retrieval with text queries
Cross-modal medical knowledge representation
Medical image-text similarity assessment
Biomedical multimodal search and discovery
Medical imaging content analysis and indexing
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
사용 사례
의료 이미지 검색
자연어 텍스트 쿼리를 사용하여 빠른 진단 지원을 위한 의료 이미지의 효율적인 검색을 가능하게 합니다.
이미지 분류
제로샷 학습 기능을 사용하여 높은 정확도로 의료 이미지를 자동 분류합니다.
의학 연구
문헌 분석, 가설 생성 및 데이터 해석으로 의학 연구를 가속화합니다.