arXiv AI July 14, 2026 By Chunzheng Zhu, Lei Tian, Bohan Tan, Ziqi Zhou, Yuxuan Sun, Yijun Wang, Chengchao Lv, Yilin Wen, Yijun He, Jinghao Lin, Yihang Chen, Cheewei Tan, Qianshan Wei, Lei Zhao, Bin Pu, Kenli Li, Yuan Xue, Jianxin Lin

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy

Read the original on arXiv AI →

arXiv:2607. 11175v1 Announce Type: new Abstract: The growing ability of large language models and vision language models to jointly interpret and reason over images and text is reshaping medical agents, moving them from task specific predictors toward autonomous systems that perceive, reason, plan, remember, and act in clinical environments.

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

Sep 23

MedRSI: Recursive Self-Improvement for Medical Agents via Clinically Aligned Self-Evolution

arXiv:2609.24838v1 Announce Type: new Abstract: Medical agents increasingly combine general reasoning models with specialized clinical tools, yet their capabilities remain largely fixed by what clini...

By Junde Wu, Jiayuan Zhu, Minghao Hu, Fenglin Liu, Jiazhen Pan

agents computer-vision multimodal benchmarks safety

arXiv AI

Jun 2

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models

arXiv:2606. 01961v1 Announce Type: new Abstract: Autonomous agents are increasingly expected to support end-to-end medical-AI research workflows, moving beyond isolated prediction tasks or short-form clinical question answering.

By Junqi Liu, Salena Song, Yuhan Wang, Jiawei Mao, Hardy Chen, Xiaoke Huang, Tianhao Qi, Pengfei Guo, Yucheng Tang, Yufan He, Can Zhao, Andriy Myronenko, Dong Yang, Daguang Xu, Yuyin Zhou

agents computer-vision nlp multimodal benchmarks

arXiv AI

Aug 25

BioMed-Agent-RL: A Meta Learning, All You Need for Biomedical Applications

arXiv:2608.21864v1 Announce Type: cross Abstract: The current progress of Clinical Vision Large Language Models (C-VLLMs) has substantially improved digital diagnostics, still these frameworks often...

By Md Asaduzzaman Jabin, Zihao Wu, Tianming Liu

llms agents reinforcement-learning multimodal benchmarks safety

arXiv AI

Jul 14

Towards Autonomous and Auditable Medical Imaging Model Development

arXiv:2607. 10522v1 Announce Type: cross Abstract: Large language model (LLM) agents are beginning to automate machine learning engineering (MLE) by coupling planning, code execution, debugging, and empirical feedback.

By Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng, Cheng Wang, Zipei Wang, Wentao Pan, Hongtao Wu, Houwen Peng, Yu Gu, Lichao Sun, Yixuan Yuan

llms agents

arXiv AI

Jul 1

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

arXiv:2606. 31179v1 Announce Type: new Abstract: As AI agents become increasingly capable of complex, long-horizon reasoning, rigorous and holistic evaluation is essential for measuring progress toward real-world healthcare applications.

By Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Mingyu Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, Cliff Wong, Peniel Argaw, Yashna Hasija, Mu Wei, Wen-wai Yim, Qin Liu, Zilin Jing, Jason Entenmann, Naoto Usuyama, Tristan Naumann, Hoifung Poon

llms agents benchmarks

arXiv AI

Jun 11

MedCTA: A Benchmark for Clinical Tool Agents

arXiv:2606. 11702v1 Announce Type: cross Abstract: To make clinically grounded decisions, medical AI agents are expected to go beyond simple recognition and be capable of tool retrieval, evidence acquisition, and integration.

By Tajamul Ashraf, Hyewon Jeong, Fida Mohammad Thoker, Bernard Ghanem

agents nlp multimodal benchmarks

One email a morning, machine-written

Related stories

MedRSI: Recursive Self-Improvement for Medical Agents via Clinically Aligned Self-Evolution

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models

BioMed-Agent-RL: A Meta Learning, All You Need for Biomedical Applications

Towards Autonomous and Auditable Medical Imaging Model Development

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

MedCTA: A Benchmark for Clinical Tool Agents