AIME 2025 : 23rd International Conference on Artificial Intelligence in Medicine
Call for Submissions
The AIME 2025 conference invites all interested researchers to submit original contributions on the development of theory, methods, systems, and applications of AI in biomedicine, including the application of AI approaches in biomedical informatics, healthcare organization, and molecular medicine.
Important Dates
Submission opening: October 1, 2024
Abstract submission deadline: January 27, 2025
Paper submission deadline: February 3, 2025
Notification of acceptance: March 26, 2025
Camera-ready submission deadline: April 8, 2025
Main conference: June 23-26, 2025
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 either case, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical foundations. 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 the underlying theory and either analyze the potential benefits for solving biomedical problems or provide empirical evidence of benefits in clinical practice.
The scope of the conference includes, but is not limited to, the following areas:
Machine learning and big data analytics
Natural language processing
Document classification and information retrieval
Large language models and their biomedical applications
AI for biomedical imaging
AI for signal processing and time series analysis
Foundational models and zero/few shots learning
Multimodal learning and information fusion
Data and knowledge integration, graph neural networks
Visual analytics in biomedicine
Bayesian networks, fuzzy logic and reasoning under uncertainty
Temporal and spatial representation and reasoning
Biomedical ontologies and terminologies
Knowledge-based reasoning in biomedicine
Clinical decision support systems
Healthcare processes and workflow management
Computerized clinical practice guidelines and protocols
Patient engagement support (personal healthcare record)
Explainable AI
Precision medicine
AI solutions for ambient assisted living, telemedicine, and e-health
The AIME 2025 conference invites all interested researchers to submit original contributions on the development of theory, methods, systems, and applications of AI in biomedicine, including the application of AI approaches in biomedical informatics, healthcare organization, and molecular medicine.
Important Dates
Submission opening: October 1, 2024
Abstract submission deadline: January 27, 2025
Paper submission deadline: February 3, 2025
Notification of acceptance: March 26, 2025
Camera-ready submission deadline: April 8, 2025
Main conference: June 23-26, 2025
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 either case, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical foundations. 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 the underlying theory and either analyze the potential benefits for solving biomedical problems or provide empirical evidence of benefits in clinical practice.
The scope of the conference includes, but is not limited to, the following areas:
Machine learning and big data analytics
Natural language processing
Document classification and information retrieval
Large language models and their biomedical applications
AI for biomedical imaging
AI for signal processing and time series analysis
Foundational models and zero/few shots learning
Multimodal learning and information fusion
Data and knowledge integration, graph neural networks
Visual analytics in biomedicine
Bayesian networks, fuzzy logic and reasoning under uncertainty
Temporal and spatial representation and reasoning
Biomedical ontologies and terminologies
Knowledge-based reasoning in biomedicine
Clinical decision support systems
Healthcare processes and workflow management
Computerized clinical practice guidelines and protocols
Patient engagement support (personal healthcare record)
Explainable AI
Precision medicine
AI solutions for ambient assisted living, telemedicine, and e-health