IEEE MedAI 2025: The Third IEEE International Conference on Medical Artificial Intelligence Wuhan, China, November 19-21, 2025 |
| Submission link | https://easychair.org/conferences/?conf=ieeemedai2025 |
Call for Papers - The Third IEEE International Conference on Medical Artificial Intelligence (MedAI 2025)
About MedAI 2025
Medical Artificial Intelligence is a highly specialized interdisciplinary research field that lies at the intersection of artificial intelligence (AI) and medicine. Building upon the success of the inaugural The Third IEEE International conference on Medical Artificial Intelligence (MedAI) is scheduled in Wuhan from November 19th to 21th, 2025.
This prestigious event is expected to gather leading experts, researchers, and professionals in the field to exchange knowledge, present cutting-edge advancements, and foster collaborations in the realm of MedAI. Specifically, the aim of this conference is two-fold:
- to showcase successful applications of AI techniques in solving challenging biomedical problems
- to foster more extensive and deeper interactions and collaborations between medical researchers and practitioners with challenging medical issues and AI researchers who are eager to identify complex real-life problems for their techniques or to start developing novel algorithms to solve challenging medical issues.
Such issues may range from molecular-level challenges, such as diagnostic issues, information extraction, analyses, and modeling from massive medical data, to mining electronic medical records, knowledge-based treatment plan recommendation, and further to robotics to conduct complex surgeries.
Submission Categories
The conference invites submissions in two categories:
- regular papers and short papers, which include posters and abstracts.
- Short papers may present previously published research findings and are limited to a maximum of two pages.
All selected submissions for oral presentation—comprising regular papers, posters, and abstracts—will qualify for reduced registration and conference fees, and they will have the opportunity for direct journal review and recommended publication during the conference.
All accepted papers, provided there are no publication conflicts, will be published in the conference proceedings by IEEE. We strongly encourage the presentation of high-quality research that has been previously published in prestigious journals and conferences, as this will be recognized during the event. Authors of short papers may choose not to publish in the proceedings and may instead have their work showcased solely on the conference website.
Recommended Journals
- Health Data Science
- Computer Animation and Virtual Worlds
- 计算机工程（已确认）
COMMITTEES
HONORARY GENERAL CHAIRS
- Ruqian Lu, Academy of Mathematics and Systems Science, CAS, China.
- Joerg Siekmann, German Research Center for Artificial Intelligence, Germany.
- Huaimin Wang, National University of Defense Technology, China
- Qimin Zhan, Health Science Center, Peking University, China
GENERAL CHAIRS
- Hai Jin, Huazhong University of Science and Technology, China.
- Albert Y. Zomaya, The University of Sydney, Australia
PROGRAM CHAIRS
- Feng Lu, Huazhong University of Science and Technology, China.
- Wei Li, The University of Sydney, Australia
- Bin Sheng, Shanghai Jiao Tong University, China
Publication Chairs
- Meikang Qiu, Augusta University, United States.
ORGANIZATION COCHARIS
- Lei Bi, Institute of Translational Medicine, Shanghai Jiao Tong University, China
- Yang Wen, College of Electronics and Information Engineering, Shenzhen University, China
- Yutao Dou, Hunan University, China
- Tong Zhang, Peng Cheng Laboratory, China
- Luxia Zhang, National Institute of Health Data Science, Peking University, China
- Hongen Liao, Tsinghua University, Shanghai Jiao Tong University, China
- Jian Yang, Beijing Institute of Technology
- Minghuan Wang, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
- Hesong Zeng, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology
- Rong Lin, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
LOCAL ORGANIZATION CHAIRS
- Ran Zheng, Huazhong University of Science and Technology, China
- Hai Li, Wuhan Central Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
- Yong Gao, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
- Yufei Ren, Tongji Hospital, Tongji Medical College，Huazhong University of Science and Technology, China
FINANCE CHAIR
- Ran Zheng, Huazhong University of Science and Technology, China
WEB CHAIR
- Junjie Wang, Huazhong University of Science and Technology, China
STEERING COMMITTEE CHAIRS
- Hong Mei, Peking University, China.
- Songmao Zhang, Academy of Mathematics and Systems Science, CAS, China.
STEERING COMMITTEE MEMBERS
- Cungen Cao, Institute of Computing Technology, CAS, China.
- Yixiang Chen, East China Normal University, China.
- Jihong Guan, Tongji University, China.
- Junzhong Ji, Beijing University of Technology, China.
- Liqun Jia, China-Japan Friendship Hospital, China.
- Shunchang Jiao, Chinese PLA General Hospital, China.
- Hai Jin, Huazhong University of Science and Technology, China.
- Xiaolong Jin, Institute of Computing Technology, CAS, China.
- Lin Liu, Tsinghua University, China.
- Weiru Liu, University of Bristol, UK.
- Ruqian Lu, Academy of Mathematics and Systems Science, CAS, China.
- Wenji Mao, Institute of Automation, CAS, China.
- Hong Mei, Peking University, China.
- Meikang Qiu, Augusta University, USA.
- Hongbin Shen, Shanghai Jiaotong University, China.
- Joerg Siekmann, German Research Center for Artificial Intelligence, Germany.
- Shusaku Tsumoto, Shimane University, Japan.
- Guoyin Wang, Chongqing University of Posts and Telecommunications, China.
- Xiangdong Wang, Shanghai Zhongshan Hospital (Fudan), China.
- Zhiping Weng, University of Massachusetts, USA.
- Kailiang Wu, Shanghai Tumor Hospital (Fudan), China.
- Dong Xu, University of Missouri, USA.
- Ying Xu, Southern University of Science and Technology, China.
- Bo Yang, Jilin University, China.
- Shihua Zhang, Academy of Mathematics and Systems Science, CAS, China.
- Songmao Zhang, Academy of Mathematics and Systems Science, CAS, China.
- Zili Zhang, Southwest University, China.
- Zhenmin Zhao, Peking University Third Hospital, China.
- Mingyue Zheng, Shanghai Institute of Pharmaceutical Research, CAS, China.
- Wenping Zheng, Shanxi University, China.
- Aoying Zhou, East China Normal University, China.
- Shuigeng Zhou, Fudan University, China.
- Tongyu Zhu, Shanghai Medical College, China.
- Yueting Zhuang, Zhejiang University, China.
TOPICS
Areas in Medicine & Healthcare benefited from AI (MH)
Area 1: Infrastructure of Medicine
- Medical record database and data linkage
- Software, hardware, robotics and languages for medicine
- Drug design, development and clinical use
- IoT infrastructure, software and methods for patients' communication
- Ethics, privacy and security of managing and using patients' data
- Ethics, privacy and security of medical decision making
Area 2: Telemedicine
Remote diagnosis
- Remote consultation
- Remote operation
- Remote treatment planning
- Remote monitoring, recommendation and intervention
Area 3: Digital and precise medicine
- Digital hospital and digital health care
- Distributed digital medicine
- Virtual reality in medicine
- Augmented reality in medicine
- Automated control of medical facilities and devices
- Multi-modal medical image processing and interpretation
- 3D image reconstruction
Area 4: Automated medicine
- Automated interpretation of medical records
- Automated synthesis of patients' data
- Automated decision making of diagnosis
- Automated recommendation for medical services
- Automated generation of prescription
- Automated recommendation of treatment plan
- Assistive living
- Computerized clinical consultation, discussion and argumentation
- Disease predisposition, diagnose, progression and treatment
Area 5: Precise medicine and biomedical informatics
- Medical data, including blood chemistry, biomarkers, analyses and interpretation
- Precise surgery and plan guided plastic medicine
- Individualized medicine
- Targeted medicine
- Particular patients adapted immunotherapy
- Cellular/molecular data analyses and interpretation
- Detection, qualification and annotation of genomic variants
- Disease-omic data relationship knowledge base construction
- Epigenetics and chromatin structure
- Pharmacogenomics
- Cancer genomics
Area 6: Computational systems biology
- Immune system modeling
- Single-cell and spatial omics
- Biomolecular structure and function prediction
- Interpretation of patient genomic, transcriptomic and omic data
- Disease onset, development modeling
- Microbe-human interactions
- Metabolic reprogramming in diseases
- Complex multi-component interactions within biological systems
- Gene regulation and circuit design
- Network biology and medicine
Areas in AI for Medicine and Healthcare (AI)
Area 1: Infrastructure and Knowledge based AI
- Algorithms, software and system architecture
- Hardware and performance
- Programming Languages
- Knowledge representation and reasoning
- Knowledge graphs, ontologies and platform and tools
- Knowledge based natural language understanding
- Knowledge based systems in general
- Infrastructure supporting mobile and distributed AI
Area 2: Bionic AI
- Swarm AI
- Neural Network based AI
- Deep learning supported AI
- Neural-symbolic integrated AI
- Non-Euclidian geometry and deep learning
- Geometric flow learning
- Brain-like Intelligence
Area 3: Collective AI
- Federated AI
- Crowd AI
- Digital Twins
- Distributed AI
- Game theory-based AI
- Consultation in decision making
- Negotiation in decision making
- Argumentation in decision making
- Computer vision and image processing
Area 4: Automated AI
- Automated decision making
- Automated process design
- Mathematics inspired AI
- Nature inspired AI
- Situation inspired AI
- Metaverse based AI
- AI-inspired algorithms
- Automated monitoring, recommendation and intervention
Area 5: Generative AI
- Generative adversarial network
- Automated crowd intelligence generation
- Automated language, image, voice and video generation
- Automated scientific theory generation
- Automated algorithms generation
- ChatGPT like AI
- Generative AI with on-chip synthesis
- Quantum AI
Area 6: Trustworthy AI
- Explainable AI
- Causality preserving AI
- Ethical AI considerations Deep reasoning and big data processing
- Privacy preservation in medical data
- Data security of AI
- Cybersecurity of AI
- Trust and transparency in AI
- Social implications of AI technologies
- AI Responsibility, bias and user needs
We particularly encourage submissions in emerging topics of high importance such as ethical data analytics, automated data analytics, data-driven reasoning, interpretable modeling, modeling with evolving environments, multi-modal data mining, and heterogeneous data integration and mining.