Where to submit a medical AI abstract in 2026
Researchers, clinicians, trainees and multidisciplinary teams working on medical AI implementation, validation, governance, ethics, education, patient safety or clinical decision support can submit abstracts to ISMAI 2026 through the official abstract submission route while the call is open.
A strong medical AI abstract begins with a clear clinical, safety or governance question and reports it in terms a clinical reviewer can interpret.
This guide sets out who may submit, which ISMAI 2026 tracks a piece of work will usually fit, what makes an abstract read as institutionally serious, and the declaration and governance expectations authors should meet before submitting.
Who can submit
Submissions are welcome from clinicians, scientists, trainees, allied health professionals, educators, ethicists, legal scholars, technical contributors and patient representatives whose work falls within one of the symposium tracks.
Presenting authors are expected to register for the symposium before the programme is finalised.
What topics fit ISMAI 2026
ISMAI 2026 accepts abstracts across the following tracks. Choose the track that best reflects the primary contribution of the work.
- Track
Clinical AI Implementation
Deployment, adoption and evaluation of medical AI systems in clinical pathways, including workflow integration, safety review and clinical acceptance.Open call for abstracts - Track
Validation, Monitoring and Model Lifecycle
Pre-deployment validation, post-deployment monitoring, drift, recalibration and lifecycle governance.Open call for abstracts - Track
AI Governance and Regulation
Institutional, national and international governance frameworks, regulatory science and policy.Open call for abstracts - Track
Patient Safety and Risk Management
Incident reporting, human factors, safety cases and risk frameworks adapted to algorithmic care.Open call for abstracts - Track
Medical Education and AI Literacy
Curricula, training, assessment and continuing professional development for clinicians and trainees.Open call for abstracts - Track
Clinical Judgement and Human Decision-Making
Empirical and conceptual work on reasoning, uncertainty and decision-making in algorithm-supported care.Open call for abstracts - Track
Ethics, Equity and Public Trust
Consent, equity, transparency, communication of uncertainty and patient involvement.Open call for abstracts - Track
Hospital Readiness and Organisational Transformation
Procurement, governance, training and change management in healthcare organisations.Open call for abstracts - Track
Technical Development with Clinical Relevance
Methodological contributions where clinical applicability, safety and relevance are clearly demonstrated.Open call for abstracts - Track
Philosophy of Medicine and AI
Conceptual work on clinical reasoning, professional responsibility and the limits of automation.Open call for abstracts
What makes a strong medical AI abstract
- A clear clinical question, safety question or governance question
- A defined method appropriate to the question, not only to the technology
- Reported outcomes that a clinician or reviewer can interpret
- Honest limitations and a considered discussion of risks and generalisability
- Ethical and regulatory context where relevant, including patient involvement
Governance, ethics and declaration expectations
- Authors must declare any financial or non-financial relationships relevant to the work.
- Authors must confirm that necessary ethical approvals were obtained for any human-subject research.
- Authors must confirm that the work has not been published in a form that would preclude presentation at the symposium.
Submit and related information
If the work fits, the official submission route, terms and programme context are here.
Last updated: 1 July 2026