医学 AI - arXivDaily 专题

2108.12530 2022-04-21 cs.LG cs.AI cs.CV 62%

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure

Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W Sjoding

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

2201.03288 2022-03-29 eess.IV cs.CV 62%

A statistical shape model for radiation-free assessment and classification of craniosynostosis

Matthias Schaufelberger, Reinald Peter Kühle, Andreas Wachter, Frederic Weichel, Niclas Hagen, Friedemann Ringwald, Urs Eisenmann, Jürgen Hoffmann, Michael Engel, Christian Freudlsperger, Werner Nahm

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

2112.09177 2021-12-20 eess.IV cs.CV 62%

Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis

Kang Zheng, Yirui Wang, Chen-I Hsieh, Le Lu, Jing Xiao, Chang-Fu Kuo, Shun Miao

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

Comments extension of RSNA 2020 report "Consistent and Coherent Computer-Aided Knee Osteoarthritis Assessment from Plain Radiographs"

2111.01950 2021-11-11 cs.LG eess.IV physics.med-ph 62%

Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis

Mohammad Farajtabar, Mohit Biglarian, Morteza Miansari

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

2005.05267 2021-10-20 eess.IV cs.CV 62%

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker, Kenton M. Sanders

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

Comments 14 pages, Accepted to 15th International Symposium on Visual Computing 2020

2011.14230 2021-10-05 eess.SP cs.LG 62%

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age

Dani Kiyasseh, Tingting Zhu, David A. Clifton

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

Comments Accepted at Advances in Neural Information Processing Systems (NeurIPS) 2021

2107.11696 2021-07-27 eess.IV cs.CV 62%

A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica

Saul Calderon-Ramirez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David Elizondo, Shengxiang Yang, Miguel Molina-Cabello

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

2106.08021 2021-06-16 cs.CV cs.AI cs.LG 62%

A Clinically Inspired Approach for Melanoma classification

Prathyusha Akundi, Soumyasis Gun, Jayanthi Sivaswamy

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

Comments 5 pages, 3 figures, 1 table

2104.07427 2021-04-16 eess.SP cs.LG 62%

Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study

N. Korucuk, C. Polat, E. S. Gunduz, O. Karaman, V. Tosun, M. Onac, N. Yildirim, Y. Cete, K. Polat

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

2009.10132 2020-09-23 cs.CV cs.AI cs.LG 62%

Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts

Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens

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

Comments 32 pages, 9 figures, 12 tables, MLHC 2020

2008.11979 2020-08-28 cs.LG eess.SP stat.ML 62%

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data

Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski

专题命中临床大模型：radiology(abstract)；分类 cs.LG、eess.SP

Comments 8 pages, 2 figures

2007.03995 2020-08-26 cs.LG cs.CV stat.ML 62%

MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts

Nabeel Seedat

专题命中临床大模型：medical image(abstract)；分类 cs.CV、cs.LG

Comments 4 pages, 4 figures,Spotlight Talk at KDD 2020 - Applied Data Science for Healthcare Workshop & presented at ICML 2020: Uncertainty and Robustness in Deep Learning

2008.08060 2020-08-19 cs.LG eess.SP stat.ML 62%

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems

Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu

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

2007.05008 2020-07-13 cs.CV eess.IV 62%

StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification

Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan Becker, Chandra Mohan, Hien Van Nguyen

专题命中临床大模型：pathology(abstract)；分类 cs.CV、eess.IV

2001.08593 2020-06-16 eess.IV cs.CV 62%

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images

Mariia Dobko, Bohdan Petryshak, Oles Dobosevych

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

Comments To be published in CVWW 2020 proceedings

Journal ref 25th Computer Vision Winter Workshop, 2020

1911.13018 2019-12-02 stat.ML cs.LG eess.SP stat.AP 62%

Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Antonio Quintero-Rincón, Catalina Carenzo, Joaquín Ems, Lourdes Hirschson, Valeria Muro, Carlos D'Giano

专题命中临床大模型：biomedical(abstract)；分类 cs.LG、eess.SP

Comments 8 pages, 3 figures. RESEARCH LETTERS/SHORT REPORTS

Journal ref Applied Medical Informatics 41 (1), 1-8, 2019

1907.04681 2019-07-11 eess.IV cs.CV 62%

Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection

Nicolas Brieu, Armin Meier, Ansh Kapil, Ralf Schoenmeyer, Christos G. Gavriel, Peter D. Caie, Günter Schmidt

专题命中临床大模型：pathology(abstract)；分类 cs.CV、eess.IV

1806.04627 2018-06-13 eess.IV cs.CV 62%

Clinical Parameters Prediction for Gait Disorder Recognition

Soheil Esmaeilzadeh, Ouassim Khebzegga, Mehrad Moradshahi

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

Comments 6 pages

1803.05011 2018-03-19 cs.LG cs.CV stat.ML 62%

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome

Yingying Zhu, Mert R. Sabuncu

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

1801.00096 2018-01-03 physics.med-ph cs.CV cs.LG cs.NE 62%

Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling

Timothy Rozario, Troy Long, Mingli Chen, Weiguo Lu, Steve Jiang

专题命中临床大模型：CT(abstract)；分类 cs.CV、cs.LG

Comments 17 pages, 7 figures, 3 tables, 39 references

cs/0212041 2009-11-30 cs.LG cs.CV 62%

Robust Classification with Context-Sensitive Features

Peter D. Turney

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

Comments 9 pages

Journal ref Proceedings of the Sixth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Edinburgh, Scotland, (1993), 268-276

2407.20989 2024-08-05 cs.SD cs.LG eess.AS 61%

Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation

Marcelo Matheus Gauy, Natalia Hitomi Koza, Ricardo Mikio Morita, Gabriel Rocha Stanzione, Arnaldo Candido Junior, Larissa Cristina Berti, Anna Sara Shafferman Levin, Ester Cerdeira Sabino, Flaviane Romani Fernandes Svartman, Marcelo Finger

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

Comments 23 pages, 4 figures, in review at Journal of Biomedical Signal Processing and Control

2310.18430 2024-03-21 stat.ML cs.LG 61%

MCRAGE: Synthetic Healthcare Data for Fairness

Keira Behal, Jiayi Chen, Caleb Fikes, Sophia Xiao

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

Comments Keywords: synthetic electronic health records, conditional denoising diffusion probabilistic model, healthcare AI, tabular data, fairness, synthetic data. This paper is the result of work completed at the 2023 Emory University Department of Mathematics REU/RET program under the direction of Project Advisor Dr. Xi Yuanzhe. This work is sponsored by NSF DMS 2051019

2310.15466 2023-10-25 cs.LG 61%

EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification

Benyamin Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami

专题命中临床大模型：biomedical(abstract,comments)；分类 cs.LG

Comments Accepted on IEEE Biomedical Circuits and Systems (BioCAS) 2023

1807.03043 2019-02-27 cs.CV 61%

Convolutional Recurrent Neural Networks for Glucose Prediction

Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou

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

Comments 10 pages, 7 figures

Journal ref IEEE journal of biomedical and health informatics 2019

2605.25050 2026-07-24 stat.AP cs.LG q-bio.QM stat.ML 版本更新 60%

Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy

具有分块缺失值的多模态堆叠及其在预测免疫治疗耐药性的PIONeeR生物标志物研究中的应用

Mohamed Boussena, Florence Monville, Jacques Fieschi-Meric, Frederic Vely, Pierre Milpied, Julien Mazieres, Maurice Perol, Eric Vivier, Laurent Greillier, Fabrice Barlesi, Sebastien Benzekry

机构 * Inria – Inserm team COMPO, COMPutational pharmacology and clinical Oncology, Centre Inria Sophia Antipolis - Méditerranée, Centre de Recherches en Cancérologie de Marseille, Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Pharmacy faculty, Aix-Marseille University（Inria - Inserm COMPO团队，计算药理学和临床肿瘤学，Inria Sophia Antipolis -地中海， Marseille癌症研究中心，Inserm U1068，CNRS UMR7258，Paoli-Calmettes研究所，药学系，Aix-Marseille大学）； Veracyte SAS, Marseille, France（Veracyte SAS，法国马赛）； Assistance Publique-Hôpitaux de Marseille (APHM), Marseille, France（马赛公共医院（APHM），法国马赛）； Toulouse University Hospital, Toulouse, France（图卢兹大学医院，法国图卢兹）； Centre Leon Berard, Lyon, France（Leon Berard中心，法国里昂）； Innate Pharma, Marseille, France（Innate Pharma，法国马赛）； Université Paris Saclay, Gustave Roussy, Inserm, Prédicteurs Moléculaires et nouvelles cibles en oncologie (U981), F-94805, Villejuif, France（巴黎萨克雷大学，Gustave Roussy，Inserm，分子预测与肿瘤学新靶点（U981），法国维尔若，F-94805）

专题命中临床大模型：biomedical(abstract)；分类 cs.LG、q-bio

AI总结提出多模态堆叠框架MSB，通过独立建模各模态特征并利用交叉验证堆叠元学习器聚合预测，解决高维和分块缺失问题，在PIONeeR研究中预测非小细胞肺癌免疫治疗无进展生存期，性能优于基线算法。

2605.18701 2026-05-19 cs.LG q-bio.QM 60%

Learning Normal Representations for Blood Biomarkers

学习正常表示以血清生物标志物

Aashna P. Shah, Michelle M. Li, Yash Lal, Seffi Cohen, Liat F. Antwarg, Morgan Sanchez, James A. Diao, Chirag J. Patel, Ben Y. Reis, Ran D. Balicer, Noa Dagan, Arjun K. Manrai

机构 * Department of Biomedical Informatics, Harvard Medical School（哈佛医学院生物医学信息学系）； Department of Systems Biology, Harvard Medical School（哈佛医学院系统生物学系）； Department of Medicine, Brigham and Women’s Hospital（布里洛妇产科医院医学系）； Department of Mathematics, Johns Hopkins University（约翰霍普金斯大学数学系）； Computational Health Informatics Program (CHIP), Boston Children’s Hospital（波士顿儿童医院计算健康信息学计划）； The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute（哈佛医学院伊万和弗rancesca伯克伍德家庭生活实验室合作项目及克劳斯研究机构）； Clalit Research Institute, Innovation Division, Clalit Health Services（克劳斯研究机构创新部门，克劳斯健康服务）； Faculty of Computer and Information Science, Ben Gurion University（本· Gurion大学计算机与信息科学系）

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG、q-bio

AI总结该研究提出NORMA框架，通过结合患者历史和人口水平数据生成更精确的参考区间，以改善血清生物标志物的个性化解读，避免过度个性化导致的误诊风险。

2605.15680 2026-05-18 cs.CL cs.LG q-bio.QM 60%

Few-Shot Large Language Models for Actionable Triage Categorization of Online Patient Inquiries

少样本大语言模型在在线患者咨询可操作分诊中的应用

Liqi Zhou, Jiafu Li

机构 * seas.upenn.edu（宾夕法尼亚大学塞as学院）

专题命中临床大模型：biomedical(abstract)；分类 cs.LG、q-bio

AI总结本文研究少样本条件下大语言模型在在线患者咨询分诊中的应用，通过构建不同数据集比较TF-IDF和BioBERT与六个LLM在0-shot、4-shot和12-shot条件下的表现，发现Claude Haiku 4.5在12-shot条件下达到0.475的宏F1值，优于监督基线模型。

Comments 4 figures, 19 tables, 23 pages (including appendix and reference)

2509.10547 2026-04-15 q-bio.NC cs.AI cs.LG 60%

Pursuit of biomarkers of brain diseases: Beyond cohort comparisons

寻找脑部疾病的生物标志物：超越队列比较

Pascal Helson, Arvind Kumar

机构 * Science For Life Laboratory（生命科学实验室）

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG、q-bio

AI总结本文提出通过多模态和纵向脑数据指导分组，以定义多维生物标志物，而非依赖单一数据类型的队列比较。

2509.22853 2025-09-30 q-bio.QM cs.AI cs.CL cs.LG 60%

Patient-specific Biomolecular Instruction Tuning

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

机构 * Standard Model Biomedicine（标准模型生物医学）； University of California, San Diego（加州大学圣地亚哥分校）

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG、q-bio

1. 临床大模型 951 篇

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure

A statistical shape model for radiation-free assessment and classification of craniosynostosis

Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis

Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age

A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica

A Clinically Inspired Approach for Melanoma classification

Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study

Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data

MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems

StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images

Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection

Clinical Parameters Prediction for Gait Disorder Recognition

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome

Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling

Robust Classification with Context-Sensitive Features

Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation

MCRAGE: Synthetic Healthcare Data for Fairness

EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification

Convolutional Recurrent Neural Networks for Glucose Prediction

Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy

Learning Normal Representations for Blood Biomarkers

Few-Shot Large Language Models for Actionable Triage Categorization of Online Patient Inquiries

Pursuit of biomarkers of brain diseases: Beyond cohort comparisons

Patient-specific Biomolecular Instruction Tuning