AIME 2027: Artificial Intelligence in Medicine 2027 KIT Royal Tropical Institute Amsterdam, Netherlands, July 5-8, 2027

Artificial Intelligence in Medicine (AIME) 2027 is a major forum for research on artificial intelligence in medicine that brings together researchers, clinicians, and technology experts to present new research and discuss advances in the field. The conference will be hosted in a beautiful historical building in the heart of Amsterdam.

AIME 2027 invites submissions of original research on AI methods, systems and their applications in medicine and healthcare. We welcome contributions on topics such as machine learning, knowledge representation and reasoning, multimodal analysis of medical data, development, evaluation and deployment of patient- and population-level AI systems, as well as trustworthy, ethical and safe AI.

Scientific Areas and Topics

AIME 2027 invites submissions that introduce or examine innovative AI solutions for problems in medicine and healthcare. These submissions may include new methods or enhancements to existing ones. Regardless, submissions should demonstrate their usefulness in addressing challenges in medicine and healthcare 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 within medicine and healthcare. They should connect the work to the underlying theories and either assess the potential benefits for addressing healthcare 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:

1. 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
2. Applications, Systems, and Health Impact
   • Clinical AI and Decision Support Systems:
     • CDSS, triage tools, precision medicine
     • Practice guidelines and adaptive workflows
     • Agentic systems and innovative applications of large language models
   • Deployment, Human-AI interaction and training:
     • Smart hospitals, telemedicine, ambient intelligence
     • Human-AI collaboration, usability and workflow-integration
     • Medical education and clinical training with AI
   • Patient-Centred and Population-Level Applications:
     • mHealth, wearables, digital interventions and therapeutics
     • Public health, epidemiology, equity
     • Personalized patient engagement and remote monitoring
   • Omics and Computational Biology for Precision Health:
     • Multi-omics integration (genomics, transcriptomics, proteomics, metabolomics, microbiome) and single-cell/spatial omics
     • Biomarker discovery, molecular subtyping, and patient stratification
     • Polygenic risk, variant interpretation, pharmacogenomics, and integration of omics with EHR, imaging, and clinical phenotypes
   • AI-Driven Drug Discovery and Development:
     • Target identification, generative chemistry, and de novo drug design
     • Protein structure prediction, virtual screening, and ADMET/toxicity prediction
     • Drug repurposing, AI-enabled clinical trials, and pharmacovigilance

Additional cross-cutting themes (applicable across all areas listed above) include:

• Trustworthy AI: Explainability, fairness, bias mitigation, trust
• Ethics & Regulation: Legal frameworks, compliance, responsible innovation
• Safety & Evaluation: Deployment readiness, robustness, validation

Important Dates

All deadlines are Anywhere on Earth (AoE).

Submissions

All papers must be original and not simultaneously submitted to another journal or conference. Papers should be submitted to the AIME 2027 Easy Chair website. 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.

The following paper categories are welcome:

1. Full-length research papers (up to 10 pages, including references)
2. Short papers (max 5 pages, including references), describing a short research project with preliminary results or late-breaking results (work-in-progress)
3. Demo papers (max 5 pages, including references), describing a demonstration of implemented systems

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.

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.

Formatting and 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, and 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

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.

Student Travel Grants

A limited number of student grants will be awarded in the form of discounts on the conference registration fee. More information on the travel grants is available at conference registration page.