医学 AI

Multi-layer Representation Learning for Medical Concepts

Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun

专题命中 临床大模型 ：diagnosis(abstract)；分类 cs.LG

Predicting Risk-of-Readmission for Congestive Heart Failure Patients: A Multi-Layer Approach

Kiyana Zolfaghar, Nele Verbiest, Jayshree Agarwal, Naren Meadem, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai, David Hazel, Paul Amoroso, Lester Reed

专题命中 临床大模型 ：diagnosis(abstract)；分类 cs.LG

Visual Exploration of Simulated and Measured Blood Flow

Anna Vilanova, Bernhard Preim, Roy van Pelt, Rocco Gasteiger, Mathias Neugebauer, Thomas Wischgoll

专题命中 临床大模型 ：diagnosis(abstract)；分类 cs.CV

Comments 20 pages book chapter of Dagstuhl Seminar 09251 "Scientific Visualization 2011" book http://www.dagstuhl.de/09251

Correlation Dimension Maps of EEG from Epileptic Absences

C. Silva, I. R. Pimentel, A. Andrade, J. P. Foreid, E. Ducla-Soares

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

Comments 9 pages, 8 figures

Journal ref Brain Topography, vol. 11, no. 3, pp. 201, 1999

Calibration of the mechanical boundary conditions for a patient-specific thoracic aorta model including the heart motion effect

Leonardo Geronzi, Aline Bel-Brunon, Antonio Martinez, Michel Rochette, Marco Sensale, Olivier Bouchot, Alain Lalande, Siyu Lin, Pier Paolo Valentini, Marco Evangelos Biancolini

专题命中 临床大模型 ：MRI(abstract)；biomedical(journal_ref)

Journal ref Volume: 70 Issue: 11, November 2023, IEEE Transaction on Biomedical Engineering

PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery

Anjana Wijekoon, Adrito Das, Roxana R. Herrera, Danyal Z. Khan, John Hanrahan, Eleanor Carter, Valpuri Luoma, Danail Stoyanov, Hani J. Marcus, Sophia Bano

专题命中 临床大模型 ：分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Accepted to the Augmented Environments for Computer-Assisted Interventions (AE-CAI) Workshop at the Medical Image Computing and Computer-Assisted Interventions (MICCAI) Conference 2024

A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Susheela Sharma, Sarah Go, Zeynep Yakay, Yash Kulkarni, Siddhartha Kapuria, Jordan P. Amadio, Mohsen Khadem, Nassir Navab, Farshid Alambeigi

专题命中 临床大模型 ：CT(abstract)；medical image(comments)

Comments 10 pages, 3 figures. This paper has been accepted for publication at the 2024 International Conference on Medical Image Computing and Computer Assisted Interventions

Risk of Bias in Chest Radiography Deep Learning Foundation Models

Ben Glocker, Charles Jones, Melanie Roschewitz, Stefan Winzeck

专题命中 临床大模型 ：分类 cs.CV、cs.LG、eess.IV；radiology(comments)

Comments Radiology: Artificial Intelligence (2023). Code available under https://github.com/biomedia-mira/cxr-foundation-bias/

The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases

Jiancheng Yang, Hongwei Bran Li, Donglai Wei

专题命中 临床大模型 ：分类 cs.CV、cs.LG、eess.IV；radiology(comments)

Comments Paper invited for the first issue of Meta-Radiology

Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach

Jadie Adams, Nawazish Khan, Alan Morris, Shireen Elhabian

专题命中 临床大模型 ：分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Accepted in the Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop, part of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022. To be published in a Lecture Notes in Computer Science proceeding published by Springer

Real-time markerless tumour tracking with patient-specific deep learning using a personalized data generation strategy: Proof of concept by phantom study

Wataru Takahashi, Shota Oshikawa, Shinichiro Mori

专题命中 临床大模型 ：CT(abstract)；radiology(comments)

Comments 10 pages, 11 figures, 2 tables, accepted for publication in The British Journal of Radiology

Journal ref Br J Radiol 2020; 93: 20190420

A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium

Qun Liu, Supratik Mukhopadhyay, Maria Ximena Bastidas Rodriguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia

专题命中 临床大模型 ：分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Paper was accepted at the IEEE International Symposium on Biomedical Imaging (ISBI 2020)

Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning

Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid

专题命中 临床大模型 ：diagnosis(abstract)；medical image(comments)

Comments Accepted for the Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019

Biomechanical analysis of a cranial Patient Specific Implant on the interface with the bone using the Finite Element Method

J. Díaz, Octavio Andrés González-Estrada, C. López

专题命中 临床大模型 ：biomedical(abstract,journal_ref)

Journal ref VII Latin American Congress on Biomedical Engineering CLAIB 2016, Oct 2016, Bucaramanga, Colombia. pp.405 - 408, 2017

A fast and robust patient specific Finite Element mesh registration technique: application to 60 clinical cases

Marek Bucki, Claudio Lobos, Yohan Payan

专题命中 临床大模型 ：CT(abstract)；medical image(journal_ref)

Journal ref Medical Image Analysis 14, 3 (2010) 303-17

A fast and robust patient specific Finite Element mesh registration technique: application to 60 clinical cases

Marek Bucki, Claudio Lobos, Yohan Payan

专题命中 临床大模型 ：CT(abstract)；medical image(journal_ref)

Journal ref Medical Image Analysis 14, 3 (2010) 303-17

A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing

利用生活质量评分指导前列腺放射治疗剂量的机器学习方法

Zhijian Yang, Daniel Olszewski, Chujun He, Giulia Pintea, Jun Lian, Tom Chou, Ronald Chen, Blerta Shtylla

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

AI总结 本文通过机器学习探索放射治疗与术后胃肠泌尿功能的关系，利用数据增强和迁移学习训练模型，确定各器官的辐射剂量阈值，发现直肠区域辐射影响生活质量评分。

Journal ref Computers in Biology and Medicine Volume 129, 104127, (2021)

Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders

自主代理协调数字孪生（AADT）：利用OpenClaw框架实现罕见遗传病中的状态同步

Hongzhuo Chen, Zhanliang Wang, Quan M. Nguyen, Gongbo Zhang, Chunhua Weng, Kai Wang

机构 * Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia（费城儿童医院雷蒙德·G·佩雷尔曼细胞与分子治疗中心） ； Applied Mathematics and Computational Science Graduate Program, University of Pennsylvania（宾夕法尼亚大学应用数学与计算科学研究生项目） ； Bioengineering Graduate Program, University of Pennsylvania（宾夕法尼亚大学生物工程研究生项目） ； Department of Biomedical Informatics, Columbia University Irving Medical Center（哥伦比亚大学欧文医学中心生物医学信息学系） ； Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania（宾夕法尼亚大学佩雷尔曼医学院病理学与实验医学系） 纠错

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

AI总结 本文提出基于OpenClaw框架的自主代理协调数字孪生框架，通过持续监控数据流和自动化工作流，实现医疗数字孪生状态与纵向表型更新和进化基因组知识的同步，提升罕见病诊断和疾病进展建模的准确性。

Bridging neuroscience and AI: adaptive, culturally sensitive technologies transforming aphasia rehabilitation

连接神经科学与人工智能：适应性、文化敏感的技术革新失语症康复

Andreea I. Niculescu, Jochen Ehnes, Minghui Dong

机构 * A*STAR Institute for Infocomm Research (I2R)（A*STAR信息与通信研究所（I2R）） 纠错

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

AI总结 本文探讨失语症康复中神经科学与AI技术的结合，提出适应性、文化敏感的数字疗法原型，以提升患者参与度并改进康复效果。

Comments 12 pages, 2 figures, Proceedings of the 20th International Conference on linguistic resources and tools for natural language processing (ConsILR 2025)

FusionNet: a frame interpolation network for 4D heart models

FusionNet：一种用于4D心脏模型的帧插值网络

Chujie Chang, Shoko Miyauchi, Ken'ichi Morooka, Ryo Kurazume, Oscar Martinez Mozos

机构 * Kyushu University（九州大学） ； Okayama University（冈山大学） ； Örebro University（欧雷布罗大学） 纠错

专题命中 临床大模型 ：medical image(comments,journal_ref)；分类 cs.CV、cs.LG

AI总结 本文提出FusionNet网络，通过短时间CMR图像获取高时间分辨率的4D心脏运动，实验表明其Dice系数超过0.897，优于现有方法。

Comments This is the authors' version. The final authenticated version is available online at https://doi.org/10.1007/978-3-031-47425-5_4. Published in Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops

Journal ref Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops. MICCAI 2023. Lecture Notes in Computer Science, vol 14394. Springer

A geometric feature tracking approach for noninvasive patient specific estimation of leaflet strain from 3D images of heart valves

一种用于非侵入性患者特异性心脏瓣膜叶let应变估计的几何特征追踪方法

Wensi Wu, Matthew Daemer, Jeffrey A. Weiss, Alison M. Pouch, Matthew A. Jolley

专题命中 临床大模型 ：pathology(abstract)；分类 q-bio

AI总结 本文提出了一种基于几何特征追踪的方法，用于非侵入性量化心脏瓣膜叶let应变，通过整合几何参考图谱和改进的配准算法，提高了对瓣膜形态和应变的准确评估。

Biomechanically Informed Image Registration for Patient-Specific Aortic Valve Strain Analysis

生物力学引导的图像配准用于患者特异性主动脉瓣应变分析

Mohsen Nakhaei, Alison Pouch, Silvani Amin, Matthew Daemer, Christian Herz, Natalie Yushkevich, Lourdes Al Ghofaily, Nimesh Desai, Joseph Bavaria, Matthew Jolley, Wensi Wu

专题命中 临床大模型 ：CT(abstract)；分类 q-bio

AI总结 本文提出一种结合有限元法的图像配准方法，用于患者特异性主动脉瓣应变分析，提高生物力学评估的准确性。

Bifacial weakness with paresthesias (BFP) secondary to trauma: a case report

创伤所致双面无力伴感觉异常（BFP）病例报告

Jingjing Chen, Xuxia Tang, Shuo Dai, Xiao He

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

AI总结 本文报告了一例因头部创伤导致的双面无力伴感觉异常（BFP）病例，首次描述了该罕见GBS变种的诊断与治疗过程。

Comments 5 pages,4 figures,1083 words

The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR

患者并非静态文档：一种用于纵向电子健康记录的world model训练范式

Irsyad Adam, Zekai Chen, David Laprade, Shaun Porwal, David Laub, Erik Reinertsen, Arda Pekis, Kevin Brown

专题命中 临床大模型 ：biomedical(abstract)；分类 q-bio

AI总结 本文提出SMB-Structure模型，通过结合联合嵌入预测架构和next-token预测，学习捕捉疾病动态的嵌入，实现对高异质性复杂任务的竞争力表现。

Targeting the Synergistic Interaction of Pathologies in Alzheimer's Disease: Rationale and Prospects for Combination Therapy

针对阿尔茨海默病病理相互作用的协同作用：联合治疗的合理性与前景

Xutong She

专题命中 临床大模型 ：pathology(abstract)；分类 q-bio

AI总结 本文探讨了阿尔茨海默病中Abeta、tau和神经炎症病理的协同作用，强调联合治疗在疾病修正中的潜力及未来精准医学的发展方向。

Comments 58 pages

A Systemic Pathological Network Model and Combinatorial Intervention Strategies for Alzheimer's Disease

阿尔茨海默病的系统性病理网络模型与组合干预策略

She Xutong

专题命中 临床大模型 ：pathology(abstract)；分类 q-bio

AI总结 本文提出系统性病理网络模型与组合干预策略，针对阿尔茨海默病的多病理因素，探索多目标治疗和精准医学的未来方向。

Comments 23 pages

A Compact, Data-Logging Breath-Gas Analyzer

一种紧凑型、数据记录的呼吸气体分析仪

Shelby Lacouture, Mitchell Kelley, Noah Plues, Laszlo Hunyadi, Emily Sundman, Annette Sobel, Robert V. Duncan

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

AI总结 本文提出了一种紧凑型、经济型呼吸气体分析仪，通过测量呼出气体中的相关气体和质量流量，实现对呼吸系统状态的早期诊断。

An N-of-1 Artificial Intelligence Ecosystem for Precision Medicine

Pedram Fard, Alaleh Azhir, Neguine Rezaii, Jiazi Tian, Hossein Estiri

机构 * Clinical Augmented Intelligence, Massachusetts General Hospital, Boston, MA 02114, USA（临床增强智能，麻省总医院，波士顿，马萨诸塞州，02114，美国） ； Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02114, USA（医学部，布里洛妇女医院，波士顿，马萨诸塞州，02114，美国） ； Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA（神经病学部，麻省总医院，波士顿，马萨诸塞州，02114，美国） 纠错

专题命中 临床大模型 ：medical AI(abstract)；分类 q-bio

Comments This study has been supported by grants from the National Institutes of Health: The National Institute on Aging R01AG074372 and The National Institute of Allergy and Infectious Diseases R01AI165535

Building the EHR Foundation Model via Next Event Prediction

Zekai Chen, Arda Pekis, Kevin Brown

机构 * Standard Model Biomedicine（标准模型生物医学） 纠错

专题命中 临床大模型 ：diagnosis(abstract)；分类 q-bio

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning

Muheng Shang, Jin Zhang, Junwei Han, Lei Du

专题命中 临床大模型 ：pathology(abstract)；分类 q-bio