Clinical
3,938 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies
MIDL 2024
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
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction
WACV 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
JudithJeyafreeda_StressIdent_LT-EDI@EACL2024: GPT for stress identification
EACL 2024
KEC_AI_MIRACLE_MAKERS@LT-EDI-2024: Stress Identification in Dravidian Languages using Machine Learning Techniques
EACL 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
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition
COLING 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
EMNLP 2024
Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder
Interspeech 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
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
WACV 2024
Learning Causal Markov Boundaries with Mixed Observational and Experimental Data
PGM 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
AAAI 2024
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
JMLR 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels
IJCAI 2024
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
NeurIPS 2024
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
MIDL 2024