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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
Fine-grained List-wise Alignment for Generative Medication Recommendation
MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
Clinical knowledge in LLMs does not translate to human interactions
Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance
Medical Large Language Model Benchmarks Should Prioritize Construct Validity
Towards Conversational AI for Disease Management
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition
Structured Outputs Enable General-Purpose LLMs to be Medical Experts
Deep Causal Behavioral Policy Learning: Applications to Healthcare
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images
Integrating Generative Artificial Intelligence in ADRD: A Framework for Streamlining Diagnosis and Care in Neurodegenerative Diseases
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
Leveraging Large Language Models to Enhance Machine Learning Interpretability and Predictive Performance: A Case Study on Emergency Department Returns for Mental Health Patients
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
Mask of truth: model sensitivity to unexpected regions of medical images
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
Exploring Large Language Models for Specialist-level Oncology Care
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
AI-Enhanced 7-Point Checklist for Melanoma Detection Using Clinical Knowledge Graphs and Data-Driven Quantification
Integrating Clinical Knowledge into Concept Bottleneck Models
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment
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