Call for Papers

We invite original contributions on innovative AI theories and methodologies for medicine, AI-inspired biomedical technologies, and complex biomedical issues that can benefit from AI techniques or may pose new challenges to AI. The interested topics include, but are not limited to:

Areas in Medicine & Healthcare benefited from AI

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

    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

    • Download Call For Papers (MedAI23-CFP.pdf)

    Download Call For Papers (MedAI23-CFP.txt)

    The detailed information concerning the paper submissions refers to the Submission page.

     

     

    ai-generative-1

    Authors: Yuzhen Zhang, Junping Zhang.

     

     

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