Introduction

Nowadays, disease diagnosis mainly depends on the clinical experience of doctors,combined with various examination reports and diagnostic data of patients for comprehensive judgment. However, different doctors have different clinical thinking, and thus there are often some deviations in the diagnostic results. With the development of modern medicine, the use of information technology, such as machine learning and artificial intelligence, for auxiliary diagnosis is gradually becoming an important part of the research in the field of medicine and informatics. Although it can improve the accuracy of the results of different detection methods to a certain extent, most of the existing studies only consider the single modality of case data for disease feature analysis, extraction and fusion. However, the clinical diagnosis of disease is a complex process, it is difficult for doctors to give accurate judgments according to the one modality result. Therefore, it is necessary to comprehensively analyze the patient's signs, symptoms, medical test results and other multimodal information together by new artificial intelligence based multimodal medical diagnosis (MMD) methods. 

This Workshop seeks the high-quality papers from academics and industry-related researchers of machine learning and artificial intelligence, to present the most recently advanced methods and applications for realizing promising multimodal medical diagnosis.

Proposed submissions should be original, unpublished, and novel for in-depth research. Topics include but not limited to:  

• Artificial Intelligence Theory and Methods for MMD

• Multimodal Analysis for Medical Data

• Domain Adaption and Transfer Learning for MMD

• Machine Learning and Reinforcement Learning for MMD

• Knowledge Graphs for MMD

• Natural Language Processing for MMD

• Cross-modal Index for MMD

• Small Sample Learning for MMD

• Uncertainty Data Analysis for MMD

• Data Reliability Analysis for MMD

• Other Medical Methods, Datasets and Applications

Important Dates

Nov. 2, 2024: Due date for full workshop papers submission

Nov. 10, 2024: Notification of paper acceptance to authors

Nov. 21, 2024: Camera-ready of accepted papers

Dec. 3-6, 2024: Workshops

Program Chairs

Liang Zhao (liangzhao@dlut.edu.cn), School of Software Technology, Dalian University of Technology, Dalian, China

Zhuo Liu (lzhuo0310@126.com), The First Affiliated Hospital of Dalian Medical University, Dalian, China

Program Committee Members

Zhao Jingyuan (zhaojingyuan3344@sina.cn), The First Affiliated Hospital of Dalian Medical University, Dalian, China

Hong Yuan (yuanhonglab@163.com), The Affiliated Central Hospital of Dalian University of Technology, Dalian, China

Boxiang Dong (dongb@montclair.edu), Montclair State University, New Jersey, USA

Liang Zou (liangzou@cumt.edu.cn), China University of Mining and Technology, Xuzhou, China

Yi Yang (yiyang@buaa.edu.cn), Beihang University, Beijing, China