Important Dates:
Call for Papers
📣 Call for Papers
The Artificial Intelligence in Medicine (AIME) 2027 conference invites submissions of original research on the theory, methods, systems, and applications of AI in biomedicine. We welcome contributions from all areas of biomedical informatics, clinical decision support, molecular medicine, and healthcare AI.
📆 Important Dates – AIME 2027
* All deadlines are Anywhere on Earth.
🧭 Scientific Areas & Topic Categories
AIME 2027 invites submissions on theory and methods that introduce or examine innovative AI theories or techniques for addressing problems in the biomedical sector. These may include new theories, methods, or enhancements to existing ones. Regardless, submissions should demonstrate their usefulness in addressing biomedical issues and highlight their contribution to the foundational theoretical knowledge. They should also discuss assumptions, limitations, and innovations relative to the current state of the art.
Contributions focused on systems and applications should describe the development, implementation, or evaluation of innovative AI-based tools and systems within the biomedical domain. These papers should connect the work to the underlying theory and either assess the potential benefits for addressing biomedical problems or provide empirical evidence of benefits in clinical practice.
The scope of the conference includes, but is not limited to, the following two core areas:
🟣 AI Foundations and Methodological Innovations
Learning Paradigms and Representational Advances:
- Multimodal learning, generative AI, foundation models
- Causal inference, reinforcement and transfer learning
- Federated and privacy-preserving methods
Knowledge, Reasoning, and Semantic Integration:
- Knowledge graphs, ontologies, terminologies
- Symbolic reasoning, Bayesian networks, fuzzy logic
- Data harmonization and integration of structured/unstructured data
Language, Imaging, and Signal Intelligence:
- Clinical NLP, summarization, and extraction
- Biomedical imaging and signal processing
- Multimodal fusion of text, vision, time series
🔵 Applications, Systems, and Health Impact
Clinical AI and Decision Support Systems:
- CDSS, triage tools, precision medicine
- Practice guidelines and adaptive workflows
Deployment, Evaluation, and Governance:
- Smart hospitals, telemedicine, ambient intelligence
- Human-AI collaboration, validation, trust, safety, ethics
Patient-Centred and Population-Level Applications:
- mHealth, wearables, digital therapeutics
- Public health, epidemiology, equity
- Personalized engagement and remote monitoring
🔄 Cross-Cutting Themes (Applicable Across All Areas)
- Trustworthy AI: Explainability, fairness, bias mitigation
- Ethics & Regulation: Legal frameworks, compliance, responsible innovation
- Safety & Evaluation: Deployment readiness, robustness, validation
🏆 Awards
Best student paper. The Mario Stefanelli award is given to the best student paper, according to the conference steering committee, based on the quality of both the paper and oral presentation at the conference.
Best regular paper. The Marco Ramoni award is given to the best regular paper, according to the conference steering committee, based on the scientific quality of the paper.
Rising star. The AIME Rising Star award is aimed at early-career researchers running their labs with recent breakthrough papers in the area. If you would like to nominate someone for this award, please email your proposal to Martin Michalowski and Gregor Štiglic by March 1st, 2027. The criteria for the award and other information will be available soon.
📥 Submission
Papers should be submitted to the AIME 2027 Easy Chair Website (available after November 1). Authors are asked first to submit an abstract (maximum 250 words). The full paper may be uploaded up to one week later. Please see Important Dates above.
📄 Paper Categories:
Full-length research papers (up to 10 pages, including references)
Short papers (max 5 pages, including references), describing a short research project with preliminary results or late-breaking results (work-in-progress)
Demo papers (max 5 pages, including references), describing a demonstration of implemented systems
Please indicate whether you are a student submitting a paper.
Demos of applications are welcome: in that case, authors must submit a demo paper (see above). The demo track will provide opportunities to present software to individuals and small groups of attendees.
🖋️ Formatting & Publication
Authors should follow Springer’s guidelines for authors and use their proceedings templates, either for LaTeX or for Word, to prepare their papers. Springer’s proceedings LaTeX templates are also available in Overleaf. Springer encourages authors to include their ORCIDs in their submissions.
All accepted papers (full, short & demo) will be part of the conference proceedings, which will be published by Springer as part of Lecture Notes in Artificial Intelligence (LNAI), a subseries of LNCS dedicated to artificial intelligence research. Papers should be formatted according to Springer’s LNCS format, and one of the categories (Full paper, Short paper, Demo paper) must be selected at the time of submission.
For a paper to be published, at least one of its authors must be registered. One full registration is required per accepted paper. Please note that there is a strict one paper per registration rule: each paper requires a separate registration.
Proceedings from prior AIME conferences can be viewed on SpringerLink.
Authors of the best accepted papers may be invited to expand and refine their manuscripts for possible publication in the Elsevier journal Artificial Intelligence in Medicine.
🤖 Use of AI Assistance
(note: may be updated at a later time)
Authors must declare their use of AI assistance during the preparation of the manuscript. This does not apply to the use of automated dictation, grammar and spelling checkers, and reference management tools and platforms. It is not allowed to present any kind of AI-generated content as though it were original research data/results from non-machine sources. The declaration is done by filling in and adding the following statement at the end of the manuscript, before the references section:
Declaration of AI assistance technologies during manuscript preparation. The author(s) used [NAME OF TOOL / SERVICE] for [AI ACTIVITY CLASS]. After using this technology, the author(s) reviewed the results and take(s) full responsibility for the contents of the manuscript.
Authors should use the recommended classification of AI activities (Section 9) published by the International Association of Scientific, Technical & Medical Publishers (STM) to fill in the [AI ACTIVITY CLASS] placeholder. The statement is not needed if AI assistance was not used while preparing the manuscript. We note that, regardless of their use of AI assistance, authors are still fully responsible and accountable for the contents of their manuscript.