From code to clinic: Translating AI into medical practice

• 16 January – Submission system opens
• 1 March – Deadline for submissions
• 10 April – Notification of acceptance and presentation category (oral or poster)
• 24 April – Deadline for uploading posters (all accepted abstracts) and PPTX presentations (oral presentations only)
• 7 May – Oral presentations
• 7–9 May – Poster display (conference foyer)
• 8 May – Award Ceremony (after the final session)

1. Review the topics of interest (below) or contact the Organizing Committee if any doubt
2. Structure your abstract according to the submission template
3. Register in the Online Submission System at submit.piebm.org. Contact details of the presenting author and all co-authors are required.
4. Submit your abstract by March 1, 2026, at 23:59 CET.
5. The AIMed Research Review Committee will evaluate all submissions
   • Highest-scoring abstracts will be selected for oral presentation
   • All accepted abstracts will be presented as paper posters onsite and digital posters online 

• Abstracts must contain original, unpublished material.
• Abstracts should be written in standard English and limited to a maximum of 300 words.
• The first and presenting author should be either health care practitioner or non-clinical researcher (e.g. computer scientist, data scientist, engineer), or a student/trainee.
• Abstracts must be submitted by 11:59 PM CEST on March 1, 2026, through the Online Submission System at submit.piebm.org.
• The AIMed Organizing Committee reserves the right to extend the submission deadline.
• Each author may submit only 1 abstract as first author, as part of their AIMed conference registration.
• Abstracts are accepted based on evaluation by AIMed Research Review Committee.
• Authors will be notified by email of acceptance or rejection by April 10, 2026.
• Acceptance is confirmed only after the conference registration fee has been paid.
• Authors accepted for oral presentation will be required to upload a PowerPoint presentation (PPTX format). Oral presentations: 10 minutes + 5 minutes for Q&A and comments.
• By submitting an abstract, authors consent to its publication. Abstracts will be published exactly as submitted; authors are therefore responsible for proofreading and checking spelling and grammar.

AIMed welcomes original work focusing on recent advances at the intersection of artificial intelligence and medicine, including but not limited to:

• Clinical validation and/or implementation of AI/ML in diagnostics, imaging, or therapeutics
• Predictive and prognostic modelling in clinical decision support
• AI-driven workflow optimization and patient management
• Development of interpretable and trustworthy AI systems for healthcare
• Multimodal data integration and federated learning in medicine
• Digital biomarkers, digital tools, and novel Internet of Things devices for remote patient monitoring
• Any other AI applications in clinical medicine not covered above
• Ethical, regulatory, and governance aspects of medical AI
• Evaluation metrics, benchmarking, and reproducibility in AI for medicine
• Use of AI in medical and/or health professional education
• Use of AI to facilitate biomedical or clinical research (clinical trials, etc.)
• Studies on patient, family, or health care provider attitudes towards AI and/or use of AI

Abstract components

• Title: Concise, specific, and informative (maximum 150 characters).
• Authors:
  • Full names, affiliations, and contact details of the presenting author and all co-authors are required.
  • Abstracts will be grouped as follows:
    Track A: Original research on preclinical or clinical translation of AI/ML in medicine, emphasizing real-world implementation, validation, and clinical outcomes. First/presenting author should be a healthcare practitioner or a student.
    Track B: original research on the development of AI/ML algorithms and methods with potential clinical applications, focusing on model development, data science innovations, and computational methodologies. First/presenting author should be a non-clinical researcher (e.g. computer scientist, data scientist, engineer) or a student.
• Affiliations: Maximum 2 affiliations per author.
• Structure:
  • Introduction: Background, unmet need, hypothesis, and study aim
  • Methods: Description of the device or method, experimental setting, outcomes, and analysis
  • Results: Only results available at the time of submission; tables and figures should appear on a separate page
  • Summary: Key findings, potential healthcare impact, limitations
  • Keywords: 3–5 keywords.
  • References: Up to 10 references, formatted according to AMA style (11th edition)
  • Disclosures: Clearly state any conflicts of interest (e.g. ownership of the product presented)

Introduction, Methods, Results and Summary must not exceed 300 words.
All abbreviations must be defined at first use.

Figures and tables

Adapted from BMJ Abstract Submission Requirements

Figures

• Accepted formats: .jpeg, .tif, .gif, .eps, PowerPoint, etc.
• Figures must be attached as separate files and also embedded in the Word document.
• All figures must be cited and clearly numbered.
• Minimum recommended resolution: 300 dpi.
• Figure legends must be editable and appear below the figure.

Tables

• Accepted formats: .pdf.
• Tables must be attached as separate files and also embedded in the Word document.
• Tables must be clearly numbered.
• Table legends must be editable and appear below the table.

Slide presentation

• Aspect ratio: 4:3
• Minimum resolution: 1024 × 768 px
• File format: PowerPoint (PPTX)
• Use standard Windows fonts only
• Accepted video formats: MP4 (preferred), WMV, AVI
• Presentations must be run from a laptop provided by the organizers
• Personal devices are not permitted

Poster

Paper poster

• Structure: same as abstract structure.
• Portrait orientation, A0 size: 1189 mm (height) x 841 mm (width).
• Font size should allow for reading from 2–3 meters.

Digital poster

• Size: max. 10 MB
• Ratio: 9:16 (vertically)
• Resolution: min. 1080 × 1920 px
• Format: PDF or JPG