Submissions and deadlines
| SUBMISSION TYPE | DEADLINE |
|---|---|
April 5th, 2024 | |
April 5th, 2024 | |
April 14th, 2024 | |
April 5th, 2024 |
Scope
Contributions to theory and methods should present or analyze novel AI theories or methodologies for solving problems in the biomedical field. They may propose new theories and methods or extensions of existing ones. In both cases, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical basis. In addition, it should discuss assumptions, limitations and novelty with respect to the state of the art.
Contributions addressing systems and applications should describe the development, implementation or evaluation of innovative, AI-based tools and systems in the biomedical application domain. These papers should both link the work to underlying theory, and either analyze the potential benefits to solve biomedical problems or present empirical evidence of benefits in clinical practice.
The scope of the conference includes the following areas:
- Generative AI in healthcare
- Large Language Models
- Precision medicine, diagnosis and therapeutics
- Predictive analytics in healthcare
- Clinical decision support systems (CDSSs)
- AI-Enabled Genomics and Gene Editing
- Federated Learning for Healthcare AI
- Machine learning and big data analytics
- Natural language processing
- Explainable AI (XAI) for health
- Robotics in Surgery and Care
- Biomedical image processing
- AI solutions for ambient assisted living, telemedicine, and e-health
- Multi-modal AI for Healthcare
- Patient engagement support (personal healthcare record)
- Knowledge discovery and data mining
- Healthcare processes and workflow management
- Biomedical knowledge acquisition and representation
- Knowledge-based reasoning in biomedicine
- Document classification and information retrieval
- Biomedical ontologies and terminologies
- Bayesian networks, fuzzy logic and reasoning under uncertainty
- Temporal and spatial representation and reasoning
- Signal processing
- Visual analytics in biomedicine
- Computerized clinical practice guidelines (CPGs) and protocols
- Interpretable Machine Learning (IML)