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: (1) to showcase successful applications of AI techniques in solving challenging biomedical problems, and (2) 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.

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.

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, diagnosis, 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-Euclidean 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.