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Medical AI

1,539 papers

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Papers

interrupt-driven@SMM4H’24: Relevance-weighted Sentiment Analysis of Reddit Posts ACL 2024 Intersection of Artificial Intelligence and Medical Education (Student Abstract) AAAI 2024 Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint) AAAI 2024 Italian Word Embeddings for the Medical Domain COLING 2024 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks EMNLP 2024 Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales AAAI 2024 Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024 Learning Causal Markov Boundaries with Mixed Observational and Experimental Data PGM 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024 Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach MIDL 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024 Lupus Nephritis Subtype Classification with only Slide Level Labels MIDL 2024 MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making NeurIPS 2024 MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting MLHC 2024 MedCalc-Bench: Evaluating Large Language Models for Medical Calculations NeurIPS 2024 MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation EMNLP 2024 Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification NeurIPS 2024 Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024 MediSwift: Efficient Sparse Pre-trained Biomedical Language Models ACL 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NeurIPS 2024