arXiv AI By Yuhao Chen, Jiahao Cai, Nafiz Sadman, Farhana Zulkernine, John Queenan, David Barber

PLeDO: Pain Level Detection for Osteoarthritis from EMR Data

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arXiv:2608. 15719v1 Announce Type: new Abstract: Osteoarthritis (OA) is a progressive chronic joint disease resulting in a breakdown of articular cartilage and bone when damaged joint tissues are not able to normally repair themselves.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Jun 6

An interpretable and trustworthy AI framework for large-scale longitudinal structure-pain association studies using data from the Osteoarthritis Initiative (OAI)

arXiv:2606. 05357v1 Announce Type: new Abstract: Purpose: To develop an interpretable and trustworthy AI framework that combines deep learning based MRI Osteoarthritis Knee Score (MOAKS) prediction with interpretable statistical modeling to study structure-pain relationships at scale using data from the Osteoarthritis Initiative (OAI).

By Jincheng Yu, Haoyang Li, Yiwen Liu, Shen Liu, Rachel Yuanbao Chen, C. Kent Kwoh, Hongxu Ding, Xiaoxiao Sun
arXiv AI
Aug 28

Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse

The paper introduces the Relational Hypergraph Transformer (RHT), a unified architecture that models relational databases as hypergraphs and learns pentadimensional embeddings (PentE). RHT applies sparse relational attention whose complexity scales with the average relational degree, making it computationally efficient for large, high‑dimensional, and high‑cardinality datasets. Experiments on the Synthea synthetic electronic health record dataset show that RHT produces more semantically coherent embeddings than tabular, relational, and temporal graph baselines, while remaining scalable, and the authors provide an open‑source implementation and plan clinical validation on MIMIC‑IV.

By Edouard Lansiaux, Hugo Kazzi, Aur\'elien Loison, Slim Hammadi, Emmanuel Chazard