MLHC

Medical

323 papers · 2016–2025

MLHC (Machine Learning for Healthcare) covers machine learning research and applications in healthcare.

Papers per year

'20

'25

Top authors

David Sontag 9 papers

Jenna Wiens 9 papers

Marzyeh Ghassemi 8 papers

Noemie Elhadad 7 papers

Anna Goldenberg 7 papers

Pranav Rajpurkar 7 papers

Anitha Kannan 6 papers

Sonali Parbhoo 5 papers

Jimeng Sun 5 papers

Adler Perotte 5 papers

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.

Newest papers

Dialogue-Contextualized Re-ranking for Medical History-Taking 2023

Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data 2023

Uncovering the Varied Impact of Behavioral Change Messages on Population Groups 2023

Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions 2023

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology 2023

Characterizing personalized effects of family information on disease risk using graph representation learning 2023

Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding 2023

Sample-Specific Debiasing for Better Image-Text Models 2023

Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach 2023

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs 2023

Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments 2023

Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes 2023

Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision 2023

Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks 2023

Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models 2023

Generating more faithful and consistent SOAP notes using attribute-specific parameters 2023

EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings 2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires 2023

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging 2023

All MLHC 2025 papers →