Clinical Decision Support and Diagnostics
Research on LLMs for medical diagnosis, treatment recommendations, and clinical decision support systems
Clinical Decision Support and Diagnostics
Research on Large Language Models in Clinical Decision Support and Diagnostics
Evaluating AI for Medical Self-Diagnosis
A new method for detecting medical misinformation in LLMs
Enhancing Medical Diagnosis with AI
Integrating Medical Knowledge Graphs with LLMs for Improved Diagnostic Accuracy
RaDialog: AI Assistant for Radiologists
Transforming Radiology With Conversational AI and Report Generation
AI-Powered Medication Recommendations
Using Large Language Models to Enhance Prescription Accuracy
Revolutionizing Clinical Trial Documentation with AI
How LLMs can streamline document creation while maintaining regulatory compliance
Evaluating LLMs for Complex Medical Decision Support
Benchmarking AI capabilities in challenging clinical scenarios
Unlocking Medical Insights with Small Models
How small trigger models help LLMs excel with medical tabular data
AI-Powered X-Ray Diagnosis
Integrating Visual Data with Clinical Records for Better Diagnostic Accuracy
Breakthrough in Medical AI: 3D CT Scan Foundation Models
First multimodal dataset enables text-guided AI for 3D medical imaging
LLMs as Medical Rule Testers
Using AI to validate cancer registry data systems
Smart Classification on a Budget
Optimizing the cost-accuracy tradeoff in machine learning inference
CancerLLM: Specialized AI for Oncology
A 7B parameter LLM optimized for cancer diagnosis and phenotyping
Enhancing Clinical Diagnosis with AI
Combining LLMs and Knowledge Graphs for Improved Medical Decision-Making
Predicting LLM Uncertainty
How prompt information affects reliability in critical applications
Humans + AI: Better Together
Confidence-weighted integration creates superior decision outcomes
HELIOT: Reducing Medication Errors with AI
An LLM-powered Clinical Decision Support System for safer drug management
HealthQ: Transforming AI-Patient Conversations
Evaluating LLMs' ability to ask the right questions in healthcare
ColaCare: Revolutionizing EHR Analysis
Enhancing healthcare decision support through LLM-driven multi-agent collaboration
Smart OOD Detection Selection
Automating the choice of distribution shift detection models
Advancing Chinese Medical AI for Patient Care
Building robust medical dialogue systems through large-scale data integration
Controlling Conversations with LLMs
Zero-Shot Dialog Planning for Safer AI Interactions
Improved Confidence in AI Decision-Making
New calibration techniques for language model reliability in security applications
Medical Decision Support Enhanced by AI
Integrating Medical Calculators with LLM Agents
Enhancing Medical Diagnosis with AI
A dual-knowledge approach to clinical reasoning
Transparent AI for Skin Lesion Diagnosis
A two-step approach enhancing interpretability without sacrificing accuracy
LLMs vs. Humans in Clinical Decision-Making
Evaluating AI models' performance with medical calculators
AI-Powered Cancer Support
Leveraging Large Language Models for Improved Cancer Care
AI-Powered Patient Matching for Clinical Trials
Multi-Agent Systems Revolutionizing Clinical Trial Recruitment
Leveraging LLMs as Expert Proxies
Using AI to enhance predictive models when data is scarce
AI Predicting Clinical Trial Outcomes
GPT-4o shows promise but struggles with negative outcome identification
Benchmarking LLMs for Radiology Agents
Evaluating AI capabilities in clinical radiology environments
RareAgents: AI-Powered Rare Disease Care
Using LLMs to create multi-disciplinary expert teams for rare disease management
KG4Diagnosis: Enhancing Medical AI Diagnosis
A hierarchical multi-agent framework with knowledge graph integration
Bridging East & West: AI for TCM
First specialized LLM for Traditional Chinese Medicine
AI-Enhanced Mental Health Diagnosis
Combining Large Language Models with Logic Programming for Interpretable Clinical Support
Advancing Medical AI with FineMedLM-o1
Enhancing medical reasoning through innovative fine-tuning techniques
Reimagining Virtual Patient Simulations
Bridging the Gap Between Medical Inquiry and Diagnosis with LLMs
Bridging the Gap in Medical AI
Combining LLMs with Specialized Models for Enhanced Medical Time Series Analysis
Enhancing LLMs for Radiation Oncology
Fine-tuning open-source models for specialized medical applications
LLMs for Clinical Diagnosis: MERA
Enhancing disease prediction through memory and ranking techniques
Multi-Agent Reasoning with Layered CoT
Enhancing LLM Explainability Through Structured Reasoning Layers
LLMs Advancing Rare Disease Diagnosis
Using AI to prioritize genes for improved diagnostic accuracy
Enhancing Mental Health Care with AI
LLMs improve prediction and interpretation of ED return risks
Harnessing LLMs for Disease Prediction
Multi-layered approach revolutionizing telehealth diagnosis
AI for Medicare Conversations
Comparing Fine-tuning vs. RAG for Medical Dialogues
JingFang: Expert-Level AI for Traditional Chinese Medicine
Bridging ancient healing practices with modern AI technology
The Rigid Reasoning of Medical AI
Uncovering Critical Limitations in Clinical LLM Applications
AI-Powered Early Detection of Alzheimer's Disease
Using LLMs to analyze speech patterns for timely diagnosis
Smarter Medical AI with MedRAG
Enhancing diagnostic accuracy using knowledge graph-based reasoning
AI Revolution in Alzheimer's Care
Leveraging Large Language Models for Neurodegenerative Disease Management
Patient-Centric Medical AI
Improving LLMs for Interactive Medical Consultations
Enhancing Food Safety with AI
Data Augmentation Powers Better Hazard Detection Models
Smart LLM Cascades That Know When to Step Back
Reducing costs while managing risk through strategic abstention
Next-Gen Medical AI: Proactive Diagnosis Systems
Transforming doctor-patient interactions with multi-round vision-language models
Transparent AI for Resource Allocation
Combining LLMs with Reinforcement Learning for Explainable Decision-Making
OctoTools: Solving Complex Reasoning Challenges
A flexible, training-free framework that integrates diverse tools with LLMs
Enhancing Medical QA with Factual Knowledge
A new retrieval approach that improves LLM accuracy for healthcare
Voice-Powered Medical Diagnostics
Integrating ASR and LLMs for Advanced Healthcare Support
Controlling What LLMs Learn
A framework for removing unwanted features from classification models
Predicting Lab Test Results with AI
A unified language modeling approach for EHR data
Smarter Medical Diagnosis with Adaptive RAG
Fine-tuning LLM retrieval based on information density
Teaching LLMs to Ask Better Questions
Improving clinical reasoning through attribute-focused question alignment
LLMs for Rare Disease Diagnosis
Advancing healthcare with AI that helps identify challenging rare conditions
AutoMedPrompt: Optimizing LLM Performance in Medicine
Enhancing Medical AI Through Textual Gradients Without Model Retraining
AI-Powered Heart Failure Assessment
A Composable Framework Using Video-Text Large Language Models
Citrus: AI Physician's Cognitive Assistant
Transforming Medical Decision Support Through Expert Cognitive Pathways
AI-Powered Clinical Trial Recruitment
Secure LLM Pipeline for Hepatopathy Patient Pre-screening
AI-Powered Medical Diagnosis
A Modular Framework for Explainable Differential Diagnosis
AI-Powered Decision Agents for Complex Eligibility Problems
Using Program Synthesis Dialogue to Navigate Legal & Medical Decisions
The Large Language Expert
Merging LLMs with Expert Systems for Clinical Decision Support
NeuroSymAD: Interpretable AI for Alzheimer's Diagnosis
Combining neural networks with symbolic reasoning for transparent medical decisions
LLMs Revolutionizing Cancer Diagnostics
Automated extraction of critical cancer insights from pathology reports
AI-Powered Early Dementia Detection
A Context-Aware Multimodal Approach Using Large Pre-trained Models
AI-Powered Medication Management
Fine-Tuning Large Language Models to Reduce Overprescription
RiskAgent: Revolutionizing Medical Risk Prediction
An AI Copilot for Comprehensive Disease Risk Assessment
Adaptive Expert Selection for Complex Reasoning
A symbolic approach to dynamically route queries to specialized LLM experts
Advancing Clinical Intelligence with LLMs
From diagnosis to comprehensive disease management
Explainable AI for Cannabis-Related Healthcare
Building Trust in Clinical Decision Support Systems
Raising the Bar for Medical AI
A new benchmark for testing complex medical reasoning in LLMs
Evaluating LLMs for Healthcare Referrals
New framework assesses AI models in outpatient referral systems
LLMs as Medical Diagnosticians
Comparing DeepSeek-R1 and O3 Mini's Disease Detection Capabilities
Evaluating LLMs for Medical Diagnosis
Assessing reliability for potential healthcare democratization
The Evolution of Reasoning in LLMs
Mapping strategies to bridge the gap between language proficiency and reasoning abilities
Enhancing Rare Disease Diagnosis with AI
Combining Chain-of-Thought and Retrieval Augmentation Improves LLM Diagnostic Capabilities
Advancing AI with Multimodal Chain-of-Thought Reasoning
How step-by-step reasoning is transforming multimodal AI systems
AI-Powered Inpatient Care Pathways
Multi-agent LLM framework for enhanced clinical decision support
Revolutionizing Patient Matching with LLMs
Leveraging AI to Connect Patients with Clinical Trials
MDTeamGPT: Revolutionizing Medical Consultations
A Self-Evolving Multi-Agent Framework for Collaborative Medical Decision-Making
CARE: Fast, Efficient Multi-Domain Chatbot
Fine-tuning LLMs with minimal resources for specialized customer support
Evolving Better Decision Trees with LLMs
A semantic approach to optimizing interpretable models
Enhancing Cancer Staging with AI
How Retrieval-Augmented Generation Improves LLM Accuracy in Medical Diagnosis
Enhancing AI Medical Diagnostics
Improving LLM performance through simulated clinical experience
AI-Powered Cardiac Event Adjudication
Revolutionizing Clinical Trials with Large Language Models
Clinical Calculator Chatbots: Enhancing Medical Decision Support
Combining LLMs with verifiable clinical calculators for 100% accuracy
Enhancing Medical LLM Consultations
Improving AI patient interactions through specialized retrieval and emotional learning
AI-Powered Gait Assessment
Enhancing clinical diagnosis with explainable LLM reasoning
MedAgent-Pro: AI-Powered Medical Diagnosis
Multi-modal Evidence-based Diagnosis through Agentic Reasoning
AI-Powered Lung Cancer Detection
Radiomic-Guided Vision-Language Models for Precise Nodule Analysis
AI-Powered Medical Diagnosis Discovery
Using LLMs to uncover hidden diagnoses in clinical notes
Enhancing Biomedical Knowledge Discovery
Deep Thinking LLMs + Retrieval for Clinical Support
AI-Powered Speech Pathology Detection
Leveraging ChatGPT for Interpretable Disease Detection from Speech
AI Medical Interviews: Advancing Healthcare Efficiency
Evaluating LLMs for Automated Patient History-Taking in OB-GYN
Enhancing Medical Reasoning with Test-Time Scaling
Optimizing LLM performance for healthcare applications
Enhancing Medical AI with Transparent Reasoning
Using Knowledge Graphs to Improve LLM Reasoning in Clinical Settings
Debiasing LLMs for Better Decision Support
Strategies to overcome cognitive biases in AI-assisted decision-making
Strategic Information Gathering with LLMs
Adaptive questioning techniques for uncovering latent information
Advancing Retrieval for Knowledge-Intensive AI
Beyond Semantic Matching: Causal Retrieval for Critical Domains
The Hidden Dangers of LLM Medical Diagnoses
When AI gets the right answer for the wrong reasons
AI-Powered Blood Culture Stewardship
Using Machine Learning and LLMs to Optimize Healthcare Resources
Revolutionizing Medical AI with Multi-Round Diagnostic Systems
A novel RAG framework simulating doctor-patient diagnostic conversations
ClinicalGPT-R1: AI Advancing Medical Diagnosis
How LLMs are being specialized for clinical reasoning in healthcare
Adaptive Medical Agents: The Future of Digital Diagnosis
Creating flexible LLM-based agents that learn to think like doctors
Predicting Overdose Risk with AI
Leveraging Large Language Models for Better Patient Outcomes
