arXiv AI October 28, 2026 By Neil Chen, Adrian Serapio, Hanxue Gu, Evan Lee, Kang Wang, Yang Yang

CohortFlow: A Steerable Clinical Cohort Curation Agent with Localized Semantic Correction

CohortFlow is a steerable agent for clinical cohort curation that applies natural language corrections as localized updates to a structured specification, allowing selective invalidation of affected computations while keeping valid results. In experiments on 100 clinical‑trial eligibility scenarios, it achieved a micro‑F1 of 77.0% versus 76.4% for full regeneration, a non‑significant difference, but reduced correction latency by 64.8% after completion and 44.3% during execution, and cut model calls by 38.1%. A proof‑of‑concept run on MIMIC showed all 13 cohort states executed successfully, with corrections preserving unaffected computations and recomputing only changed or dependent nodes.

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 Machine Learning

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$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials

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llms nlp benchmarks

arXiv AI

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llms agents benchmarks safety

arXiv AI

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Evaluating and Understanding Model Editing for Medical Vision Language Models

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By Guli Zhu, Chenwei Wu, Liyue Shen

llms diffusion multimodal benchmarks

arXiv AI

Jul 24

Scaling Up Formal Representation of Clinical Trial Protocols in Ensemble Logic Using LLMs: A Preliminary Study

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By Yan Huang, Xubing Hao, Xiaojin Li, Rashmie Abeysinghe, Xiaoqian Jiang, Licong Cui, Guo-Qiang Zhang

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arXiv AI

Aug 6

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By Anran Li, Lingfei Qian, Mengmeng Du, Yu Yin, Yan Hu, Zihao Sun, Yihang Fu, Hyunjae Kim, Erica Stutz, Xuguang Ai, Qianqian Xie, Rui Zhu, Jimin Huang, Yifan Yang, Siru Liu, Yih-Chung Tham, Lucila Ohno-Machado, Hyunghoon Cho, Zhiyong Lu, Hua Xu, Qingyu Chen

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arXiv AI

Oct 21

A general-purpose System One decision model for clinical records

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By Andrew Zhang, Trinh T. L. Vuong, Sophia J. Wagner, Dongmin Bang, Tong Ding, Yuchang Su, Mary Cipperman, Christina S. Chen, Judith Lefkes, Ramin Kahidi, Ming Y. Lu, Caiwei Tian, Tianhao Luo, Jingnan Ma, Rowland Pettit, Long Phi Le, Faisal Mahmood

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