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Predicting Kidney Disease Progression with Advanced AI: Introducing ProQ-BERT

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A New Era for Health Prediction: Combining Genetic Insights with Electronic Health Records

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Unmasking Privacy Risks: Membership Inference in Clinical AI Models

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Understanding Heart Health: How AI’s Language Skills Are Transforming Cardiology

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New AI Model Maps Disease Progression with Temporally Detailed Hypergraphs

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SerialBEHRT: A Foundation Model for Enhanced EHR Understanding and Antibiotic Prediction

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Evaluating AI Models for Cancer Diagnosis Classification in Electronic Health Records

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AI Agents Collaborate to Model Patient Trajectories for Lung Cancer Prediction

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Navigating Electronic Health Records: A New Benchmark Reveals Best Practices for Clinical AI

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Edge AI System Delivers Rapid, Private Patient Chart Summaries for Emergency Doctors

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Understanding Disease Links: A Comprehensive AI Method Comparison

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A Unified Approach to Early Disease Diagnosis with Multimodal AI

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Expert AI System PRISM-Consult Enhances Clinical Diagnosis in Emergency Departments

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Next Event Prediction: Enhancing AI’s Understanding of Patient Journeys in Electronic Health Records

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Bridging Data Gaps: A New Approach to Privacy-Preserving Imputation in ICU Federated Learning

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Testing Large Language Models on Real-World Electronic Health Records with FHIR-AgentBench

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Advancing Critical Care Predictions with Self-Supervised Models

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Understanding Medication Events in EHRs: A Comparative Study of AI Models

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EHR-MCP: Bridging Large Language Models with Electronic Health Records

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MedicalOS: Streamlining Digital Healthcare with AI Agents

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Enhancing Medical AI: A Causal Approach to Handling Incomplete Multimodal Data

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NoteAid-Chatbot: AI Assistant Helps Patients Understand Medical Records Through Conversation

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Demographic Insights: Enhancing Disease Prediction with a General Pre-trained Model

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Predicting Heart Health Risks with ASCENDgpt: A New AI Approach Using Patient Records

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CEHR-GPT: A Unified AI Model for Electronic Health Records

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New AI Model Predicts Cardiovascular Biomarkers with Uncertainty During Pandemics

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Unlocking Patient Data: How LLMs Are Transforming OPQRST Extraction

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MoE-Health: A New AI Framework for Robust Healthcare Predictions with Incomplete Patient Data

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Bridging Medical Ontologies for Enhanced Healthcare AI

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ProtoEHR: Unlocking Deeper Insights from Electronic Health Records for Better Predictions

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