Papers
1–3 of 3Research Paper·Jan 23, 2026
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
Difficulty replicating baselines, high computational costs, and required domain expertise create persistent barriers to clinical AI research. To address these challenges, we introduce PyHealth 2.0, an...
9.0 viability
Research Paper·Jan 30, 2026
MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration
Medical calculators are fundamental to quantitative, evidence-based clinical practice. However, their real-world use is an adaptive, multi-stage process, requiring proactive EHR data acquisition, scen...
7.0 viability
Research Paper·Feb 19, 2026
A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data
Machine learning models are increasingly applied to biomedical data, yet their adoption in high stakes domains remains limited by poor robustness, limited interpretability, and instability of learned ...
7.0 viability