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← Clinical
Healthcare & Medicine
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Clinical
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Medical AI
1040 directly classified papers
Papers per year
2003: 1
2006: 6
2007: 4
2008: 3
2009: 3
2010: 4
2011: 5
2012: 7
2013: 4
2014: 1
2015: 4
2016: 26
2017: 20
2018: 47
2019: 57
2020: 82
2021: 107
2022: 115
2023: 133
2024: 161
2025: 247
2026: 3
Papers
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction
EMNLP 2024
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment
AAAI 2024
Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria
AAAI 2024
Collaborative Tooth Motion Diffusion Model in Digital Orthodontics
AAAI 2024
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
EMNLP 2024
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers
AAAI 2024
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
EMNLP 2024
Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement
AAAI 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
AAAI 2024
Deep Reinforcement Learning for Early Diagnosis of Lung Cancer
AAAI 2024
Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms
AAAI 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
NIPS 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
EMNLP 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
AAAI 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
NIPS 2024
Instruction Tuning Large Language Models to Understand Electronic Health Records
NIPS 2024
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
IJCAI 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
CVPR 2024
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
NIPS 2024
YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection
INTERSPEECH 2024
DysArinVox: DYSphonia & DYSarthria mandARIN speech corpus
INTERSPEECH 2024
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments
EMNLP 2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
NIPS 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
NIPS 2024
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