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
他のモデルを試す
すべて表示BiomedCLIP Demo
Experience Advanced Medical AI
BiomedCLIPの全機能を解放
強化機能、優先サポート、包括的なマルチモーダル分析機能を備えた高度な医療画像テキスト理解への無制限アクセスを取得します。
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
ユースケース
医療画像検索
自然言語テキストクエリを使用して、迅速な診断支援のための医療画像の効率的な検索を可能にします。
画像分類
ゼロショット学習機能を使用して、高精度で医療画像を自動分類します。
医学研究
文献分析、仮説生成、データ解釈で医学研究を加速します。