The strength of clinical evidence is recoverable from language model representations but not from their stated grades Paper • 2606.29034 • Published Jun 27
Self-supervision drives representational convergence in medical foundation models more than clinical supervision Paper • 2607.20274 • Published 7 days ago
CANDOR: Chance-Calibrated Discordance in Frozen Foundation Encoders Paper • 2607.18451 • Published 9 days ago
Vision-language models for chest radiography do not always need the image Paper • 2606.17710 • Published Jun 16
Safety and accuracy follow different scaling laws in clinical large language models Paper • 2605.04039 • Published May 5
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision Paper • 2604.09537 • Published Apr 10
Diffusion Probabilistic Models beat GANs on Medical Images Paper • 2212.07501 • Published Dec 14, 2022
SteuerLLM: Local specialized large language model for German tax law analysis Paper • 2602.11081 • Published Feb 11 • 3
Differential privacy representation geometry for medical image analysis Paper • 2603.01098 • Published Mar 1
The role of self-supervised pretraining in differentially private medical image analysis Paper • 2601.19618 • Published Jan 27
Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering Paper • 2603.06271 • Published Mar 6
Multi-step retrieval and reasoning improves radiology question answering with large language models Paper • 2508.00743 • Published Aug 1, 2025
Resolution scaling governs DINOv3 transfer performance in chest radiograph classification Paper • 2510.07191 • Published Oct 8, 2025
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data Paper • 2409.19078 • Published Sep 27, 2024
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications Paper • 2506.00660 • Published May 31, 2025
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations Paper • 2504.08584 • Published Apr 11, 2025