医学 AI - arXivDaily 专题

2301.02181 2023-01-06 eess.IV cs.CV 86%

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications

Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk Klatte, Megan Engels, Sanne Hoogenboom, Candice Bolan, Michael Wallace, Ulas Bagci

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；MRI(abstract)；分类 cs.CV、eess.IV

2201.01249 2022-01-05 cs.AI cs.LG eess.IV 86%

ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；biomedical(abstract)；分类 cs.LG、eess.IV

Comments Accepted for publication in Computer Methods and Programs in Biomedicine

2206.13079 2022-06-28 cs.CV cs.AI 86%

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract,comments)；CT(abstract)；分类 cs.CV

Comments Early accepted by 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'22)

1710.04782 2017-10-16 cs.CV 86%

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Donghuan Lu, Karteek Popuri, Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；pathology(abstract)；分类 cs.CV

Comments 12 pages, 4 figures, Alzheimer's disease, deep learning, multimodal, early diagnosis, multiscale

2510.21464 2026-05-20 cs.CV 85%

CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis

CXR-LanIC：基于语言的可解释分类器用于胸部X光诊断

Yiming Tang, Wenjia Zhong, Rushi Shah, Dianbo Liu

机构 * National University of Singapore（新加坡国立大学）

专题命中诊断辅助：diagnosis(title,abstract)；medical AI(abstract)；medical image(abstract)；分类 cs.CV

AI总结本文提出CXR-LanIC，一种基于语言的可解释分类器，通过任务对齐的模式发现解决胸部X光诊断的可解释性挑战，通过训练稀疏自编码器提取可解释的视觉模式，实现高准确率的诊断并支持自然语言解释。

2605.08585 2026-05-12 cs.CV cs.AI 85%

PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis

PromptDx: 为多模态上下文阿尔茨海默病诊断的可微提示微调

Lujia Zhong, Yihao Xia, Shuo Huang, Jianwei Zhang, Yonggang Shi

机构 * Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California（斯蒂文斯神经影像与信息学研究所，凯克医学院，南加州大学）； Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California（明希德电气与计算机工程系，维特比工程学院，南加州大学）； Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California（阿尔弗雷德·E·曼生物医学工程系，维特比工程学院，南加州大学）

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract,abstract_cn)；分类 cs.CV

AI总结 PromptDx通过可微提示微调机制，结合预训练的TabPFN实现多模态上下文诊断，提升数据效率和临床适用性。

2604.02502 2026-04-06 cs.CV cs.AI 85%

An Explainable Vision-Language Model Framework with Adaptive PID-Tversky Loss for Lumbar Spinal Stenosis Diagnosis

具有自适应PID-Tversky损失的可解释视觉-语言模型框架用于腰椎管狭窄症诊断

Md. Sajeebul Islam Sk., Md. Mehedi Hasan Shawon, Md. Golam Rabiul Alam

机构 * Department of Computer Science and Engineering（计算机科学与工程系）； Department of Electrical and Computer Engineering（电气与计算机工程系）

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；radiology(abstract)；分类 cs.CV

AI总结本文提出一种可解释视觉-语言模型框架，通过空间补丁交叉注意模块和自适应PID-Tversky损失，提升腰椎管狭窄症诊断的准确性与解释性，实现高分割Dice分数和CIDEr评分。

2511.22018 2026-03-13 cs.CV cs.AI 85%

MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis

MedEyes: 学习动态视觉聚焦以进行医学逐步诊断

Chunzheng Zhu, Yangfang Lin, Shen Chen, Yijun Wang, Jianxin Lin

专题命中诊断辅助：diagnosis(title,abstract)；medical AI(abstract)；medical image(abstract)；分类 cs.CV

AI总结 MedEyes通过动态视觉聚焦和双模式探索策略，提升医学逐步诊断的准确性与临床相关性。

Comments AAAI 2026, Medical Chain-of-Thought (CoT), Reinforcement Learning with Verifiable Rewards (RLVR), Multimodal Grounded Reasoning

2603.02434 2026-03-04 cs.CV cs.AI 85%

MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction

MIRAGE：基于知识图谱的跨群体MRI合成用于阿尔茨海默病预测

Guanchen Wu, Zhe Huang, Yuzhang Xie, Runze Yan, Akul Chopra, Deqiang Qiu, Xiao Hu, Fei Wang, Carl Yang

机构 * Emory University, Atlanta, USA（埃默里大学）； Cornell University, New York, USA（康奈尔大学）

专题命中诊断辅助：MRI(title,abstract)；diagnosis(abstract)；biomedical(abstract)；分类 cs.CV

AI总结 MIRAGE通过知识图谱引导的跨群体MRI合成，提升无真实MRI群体中阿尔茨海默病的诊断准确率。

2602.19178 2026-02-24 cs.CV 85%

EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease

EMAD: 基于证据的多模态诊断框架用于阿尔茨海默病

Qiuhui Chen, Xuancheng Yao, Zhenglei Zhou, Xinyue Hu, Yi Hong

机构 * East China University of Science and Technology（东华大学）； Shanghai Jiao Tong University（上海交通大学）； Tencent（腾讯）

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；MRI(abstract)；分类 cs.CV

AI总结 EMAD通过多模态证据接地机制，生成结构化诊断报告，提升阿尔茨海默病诊断的透明度和临床一致性。

Comments Accepted by CVPR2026

2510.22507 2025-10-28 cs.CV cs.AI 85%

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis

Rui Jin, Chen Chen, Yin Liu, Hongfu Sun, Min Zeng, Min Li, Yang Gao

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；pathology(abstract)；分类 cs.CV

Comments The first two authors contributed equally to this work. Correspondence to: Yang Gao, E-mail: yang.gao@csu.edu.cn

2509.20813 2025-09-26 cs.CV cs.AI 85%

Revolutionizing Precise Low Back Pain Diagnosis via Contrastive Learning

Thanh Binh Le, Hoang Nhat Khang Vo, Tan-Ha Mai, Trong Nhan Phan

机构 * Faculty of Computer Science and Engineering（计算机科学与工程学院）； Ho Chi Minh City University of Technology（胡志明市技术大学）； Vietnam National University (HCMUT-VNU)（越南国家大学（HCMUT-VNU））； National Taiwan University（国立台湾大学）

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；MRI(abstract)；分类 cs.CV

Comments 12 pages, 4 figures

2506.11166 2025-06-16 cs.CV cs.AI 85%

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning

Ji Young Byun, Young-Jin Park, Navid Azizan, Rama Chellappa

机构 * Johns Hopkins University（约翰霍普金斯大学）； Massachusetts Institute of Technology（麻省理工学院）

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；radiology(abstract)；分类 cs.CV

2408.02214 2024-08-06 cs.CV 85%

More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis

Xiangyu Peng, Kai Wang, Jianfei Yang, Yingying Zhu, Yang You

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；radiology(abstract)；分类 cs.CV

2405.09553 2024-05-17 eess.IV cs.AI 85%

Computer aided diagnosis system for Alzheimers disease using principal component analysis and machine learning based approaches

Lilia Lazli

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；MRI(abstract)；分类 eess.IV

Comments Accepted for CIBB 2021: The 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics

2312.10099 2023-12-19 cs.CV 85%

ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis

Shun Liu, Jianan Zhang, Ruocheng Song, Teik Toe Teoh

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；biomedical(abstract)；分类 cs.CV

2312.06069 2023-12-13 cs.CV 85%

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；radiology(abstract)；分类 cs.CV

Comments *These authors contributed equally. Accepted by AAAI 2024

2302.06611 2023-02-16 eess.IV 85%

Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey

Song Wu, Yazhou Ren, Aodi Yang, Xinyue Chen, Xiaorong Pu, Jing He, Liqiang Nie, Philip S. Yu

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；CT(abstract)；分类 eess.IV

2301.09007 2023-01-24 cs.CV 85%

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images

Hosein Barzekar, Yash Patel, Ling Tong, Zeyun Yu

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；biomedical(abstract)；分类 cs.CV

2208.10695 2022-08-24 cs.CV 85%

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization

Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV

2006.12695 2021-02-12 cs.HC eess.IV 85%

Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists

Hongyan Gu, Jingbin Huang, Lauren Hung, Xiang 'Anthony' Chen

专题命中诊断辅助：diagnosis(title,abstract)；medical AI(abstract)；pathology(abstract)；分类 eess.IV

Comments 25 pages, 5 figures. To appear in the 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021)

1810.00523 2018-10-02 cs.CV 85%

End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification

Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；MRI(abstract)；分类 cs.CV

Journal ref Machine Learning in Medical Imaging. MLMI 2018. Lecture Notes in Computer Science, vol 11046. Springer, Cham

1304.7284 2013-10-17 cs.LG cs.CE stat.ML 85%

Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis

Shandian Zhe, Zenglin Xu, Yuan Qi

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；biomedical(abstract)；分类 cs.LG

0910.3348 2009-12-01 cs.CV cs.AI cs.GT cs.NE 85%

Algorithms for Image Analysis and Combination of Pattern Classifiers with Application to Medical Diagnosis

Harris Georgiou

专题命中诊断辅助：diagnosis(title,abstract)；medical image(abstract)；pathology(abstract)；分类 cs.CV

Comments PhD thesis summary, 12 pages

2208.01843 2022-08-04 eess.IV cs.CV cs.LG 85%

Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis

Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu

专题命中诊断辅助：diagnosis(title)；CT(abstract)；radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted to the 2022 MICCAI Workshop on Medical Image Learning with Limited and Noisy Data

2009.06116 2021-01-14 cs.CV cs.DB cs.DL cs.LG eess.IV 85%

Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis

Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten Borgwardt

专题命中诊断辅助：diagnosis(title,abstract)；CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 8 pages, 4 figures

Journal ref Applied Sciences 2021 (special issue on: "Fighting COVID-19: Emerging Techniques and Aid Systems for Prevention, Forecasting and Diagnosis")

1907.00437 2019-07-02 cs.CV cs.LG eess.IV stat.ML 85%

INN: Inflated Neural Networks for IPMN Diagnosis

Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Accepted for publication at MICCAI 2019 (22nd International Conference on Medical Image Computing and Computer Assisted Intervention). Code is publicly available at https://github.com/lalonderodney/INN-Inflated-Neural-Nets

2509.06351 2025-09-09 cs.CV cs.LG 85%

A Multi-Modal Deep Learning Framework for Colorectal Pathology Diagnosis: Integrating Histological and Colonoscopy Data in a Pilot Study

Krithik Ramesh, Ritvik Koneru

专题命中诊断辅助：pathology(title)；diagnosis(title)；分类 cs.CV、cs.LG

2405.16248 2024-05-28 eess.IV cs.CV cs.LG q-bio.QM 85%

Combining Radiomics and Machine Learning Approaches for Objective ASD Diagnosis: Verifying White Matter Associations with ASD

Junlin Song, Yuzhuo Chen, Yuan Yao, Zetong Chen, Renhao Guo, Lida Yang, Xinyi Sui, Qihang Wang, Xijiao Li, Aihua Cao, Wei Li

专题命中诊断辅助：diagnosis(title,abstract)；MRI(abstract)；分类 cs.CV、cs.LG、q-bio

2308.15127 2023-08-30 physics.med-ph q-bio.QM 85%

Nanozyme-based biosensing for clinical diagnosis of COVID-19: A mini review

Saeed Reza Hormozi Jangi

专题命中诊断辅助：diagnosis(title,abstract)；CT(abstract)；biomedical(abstract)；分类 q-bio

1. 诊断辅助 8196 篇

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications

ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis

PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis

An Explainable Vision-Language Model Framework with Adaptive PID-Tversky Loss for Lumbar Spinal Stenosis Diagnosis

MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis

MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction

EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis

Revolutionizing Precise Low Back Pain Diagnosis via Contrastive Learning

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning

More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis

Computer aided diagnosis system for Alzheimers disease using principal component analysis and machine learning based approaches

ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization

Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists

End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification

Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis

Algorithms for Image Analysis and Combination of Pattern Classifiers with Application to Medical Diagnosis

Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis

Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis

INN: Inflated Neural Networks for IPMN Diagnosis

A Multi-Modal Deep Learning Framework for Colorectal Pathology Diagnosis: Integrating Histological and Colonoscopy Data in a Pilot Study

Combining Radiomics and Machine Learning Approaches for Objective ASD Diagnosis: Verifying White Matter Associations with ASD

Nanozyme-based biosensing for clinical diagnosis of COVID-19: A mini review