Artificial intelligence is moving from research labs into clinics. This iCOF 2027 track invites work on machine learning for diagnosis, prognosis and risk prediction, medical imaging and digital pathology, explainable clinical decision support, large language models in healthcare, precision medicine, and the validation, safety and regulation of clinical AI.
Topics of interest in AI for Clinical Decision-Making and Diagnostics
Submissions to this track of International Conference on the Future of Health, Cybersecurity, and Education should address one or more of the following areas. Papers that connect several topics, or that link this track to the other health, cybersecurity and education conference tracks, are especially welcome.
- Machine learning for diagnosis, prognosis and risk prediction
- Medical imaging, radiology and digital pathology with AI
- Clinical decision support and explainable models for clinicians
- Large language models and generative AI in healthcare
- Precision and personalized medicine
- Validation, safety and regulation of clinical AI
Who should submit to this track
Clinicians, biomedical engineers, data scientists, medical imaging researchers, health informaticians, regulators and students developing or evaluating AI for patient care are encouraged to submit.
How to submit and what happens next
Prepare your abstract or full paper with the paper submission guidelines and templates, then upload it through the Microsoft CMT portal before December 31, 2026. Reviewed papers are announced on February 10, 2027; camera-ready papers are due April 10, 2027. Authors can then complete their conference registration (hybrid: onsite or online presentation) and plan their trip to Edmonton, Alberta, Canada; visitors from abroad can check the visa and travel information.
Related iCOF 2027 tracks
- Digital Health, Telemedicine and Connected Care: telemedicine, remote monitoring, wearables, EHRs and smart hospitals.
- Biomedical Informatics, Data Science and Bioengineering: genomics, bioinformatics, medical devices, health data and digital twins.
- Human-Centred AI and Innovation in the Age of AI: human-AI collaboration, explainability, HCI, co-design and innovation.
Back to all iCOF 2027 conference tracks, the call for papers or the iCOF 2027 home page.