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
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Obtenez un accès illimité à la compréhension avancée image-texte médicale avec des fonctionnalités améliorées, un support prioritaire et des capacités d'analyse multimodale.
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
Cas d'Usage
Recherche d'Images Médicales
Permet une récupération efficace des images médicales en utilisant des requêtes textuelles en langage naturel pour un support diagnostique rapide.
Classification d'Images
Classe automatiquement les images médicales avec une haute précision grâce aux capacités d'apprentissage zero-shot.
Recherche Médicale
Accélère la recherche médicale avec l'analyse de littérature, la génération d'hypothèses et l'interprétation des données.