科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

2026-03-04 至 2026-03-04 共收录 3 篇信号源：cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学数据与评测 3 篇

2603.02790 2026-03-04 cs.CV 84%

Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language

设计UNICORN：面向医学成像的统一基准测试

Michelle Stegeman, Lena Philipp, Fennie van der Graaf, Marina D'Amato, Clément Grisi, Luc Builtjes, Joeran S. Bosma, Judith Lefkes, Rianne A. Weber, James A. Meakin, Thomas Koopman, Anne Mickan, Mathias Prokop, Ewoud J. Smit, Geert Litjens, Jeroen van der Laak, Bram van Ginneken, Maarten de Rooij, Henkjan Huisman, Colin Jacobs, Francesco Ciompi, Alessa Hering

专题命中医学数据与评测：pathology(title)；radiology(title)；分类 cs.CV

AI总结 UNICORN是一个面向医学成像的统一基准测试，旨在通过标准化评估框架系统评估医学基础模型的跨模态和多任务泛化能力。

Comments This paper describes the dataset and design of the UNICORN challenge and provides the link to Grand Challenge

2603.02799 2026-03-04 cs.CR 50%

Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning

理解量子联邦学习中全同态加密的资源成本

Lukas Böhm, Arjhun Swaminathan, Anika Hannemann, Erik Buchmann

专题命中医学数据与评测：MRI(abstract)

AI总结本研究评估了全同态加密在量子联邦学习中带来的资源开销，发现其在现实应用中面临内存和通信开销大的挑战，需在隐私与模型复杂性间做出权衡。

Comments Experiments with Quantum Federated Learning using Homomorphic Encryption to encrypt the gradients

2603.02528 2026-03-04 cs.AI cs.RO 50%

LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model

LLM-MLFFN: 通过大语言模型的多级自动驾驶行为特征融合

Xiangyu Li, Tianyi Wang, Xi Cheng, Rakesh Chowdary Machineni, Zhaomiao Guo, Sikai Chen, Junfeng Jiao, Christian Claudel

机构 * Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin（德克萨斯大学奥斯汀分校土木、建筑与环境工程系）； Systems Engineering Program, Cornell University（康奈尔大学系统工程项目）； Department of Electrical and Computer Engineering, University of Michigan（密歇根大学电气与计算机工程系）； Department of Civil and Environmental Engineering, University of Wisconsin-Madison（威斯康星大学麦迪逊分校土木与环境工程系）； School of Architecture, The University of Texas at Austin（德克萨斯大学奥斯汀分校建筑学院）

专题命中医学数据与评测：diagnosis(abstract)

AI总结 LLM-MLFFN通过大语言模型的多级特征融合提升自动驾驶行为分类的准确性和鲁棒性。