Tag: biomedical AI
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Trustworthy Clinical Diagnosis with Toulmin-Guided Learning
Enhance clinical diagnostic reasoning using Toulmin-guided Curriculum Goal-Conditioned Learning for transparent, reliable AI in healthcare.
VeriSim: Testing Medical AI with Realistic Patient Noise
VeriSim offers a configurable framework to evaluate medical AI under realistic patient noise, improving clinical robustness and decision-making accuracy.
Improving Safety of Medical Vision-Language Models with Synthetic Demos
Discover how synthetic demonstrations enhance safety and performance in medical vision-language AI models, preventing harmful queries effectively.
Self-Supervised Learning for 12-Lead ECG Analysis
Discover ECG-JEPA, a self-supervised model using joint-embedding to improve 12-lead ECG representation and cardiac diagnosis accuracy.
ECHO: Fast Chest X-ray Report Generation with Diffusion AI
ECHO enables rapid, accurate chest X-ray report generation using one-step block diffusion, boosting speed by 8× and improving report quality significantly.