INSIGHT @ IEEE ICTS4eHealth 2026

About INSIGHT

Intelligent Systems are playing an increasingly important role in clinical practice, supporting physicians and healthcare professionals in disease diagnosis, therapy optimization, and health monitoring. Among these advancements, a promising research direction is imaging-based diagnosis, where intelligent systems enable accurate, robust, and timely interpretation of medical images.

This Special Session, INSIGHT, aims to bring together recent advances in AI-driven image analysis for healthcare, focusing on methods and systems that support imaging-based clinical decision making across key application domains (e.g., radiology, digital and computational pathology, computational cytology, and neuroimaging). Contributions addressing both methodological advances and clinically oriented applications are encouraged.

Call for Papers

We invite high-quality submissions on intelligent systems and machine learning methods for imaging-based diagnosis in healthcare. Topics include (but are not limited to):

Imaging-based clinical decision support system for patient-specific outcome prediction
AI-driven medical image analysis across imaging modalities (e.g., CT, MRI, PET, ultrasound)
AI-based systems in digital pathology and computational cytology
Multimodal medical image analysis and data integration
Learning-based medical image segmentation, classification, and anomaly detection
Generative and diffusion-based models for medical imaging, including synthetic data generation
Self-supervised and unsupervised learning for medical image analysis
Explainable and interpretable AI for medical imaging and neural signal analysis, including post-hoc and ante-hoc approaches
Human-AI collaboration for explainable and clinically usable systems
Federated learning and privacy-preserving approaches for medical imaging
Bias, fairness, and safety in AI-driven medical imaging systems
Clinical validation, reproducibility, and regulatory aspects of AI for medical imaging
Novel datasets, benchmarks, and evaluation methodologies for AI in medical imaging
Real-world deployment and clinical impact of AI-driven medical imaging systems
Ethical, legal, and societal implications of AI in medical imaging
Data governance, quality, and standardization in medical imaging AI

Important Dates

Conference timeline

Paper submission deadline: ~~March 15, 2026~~ March 31, 2026
Notification of acceptance: ~~March 31, 2026~~ April 20, 2026
Conference dates: June 23-26, 2026

INSIGHT papers follow the same submission deadlines and review process as the main conference.

Submission

Papers for INSIGHT must be submitted through the official ICTS4eHealth 2026 submission system (EDAS).

Manuscript template

Please use the IEEE conference templates available on the IEEE website: IEEE Conference Templates.
Review manuscripts should describe original work and should be no more than 7 pages in the IEEE double column proceedings format, including tables, figures and references.

Paper format

Papers should follow the IEEE conference format and the ICTS4eHealth/ISCC submission rules.

Note that accepted papers up to 6 pages will be published with no additional charge. A 7th page may be included upon payment of an extra page fee during registration. Papers exceeding 7 pages will not be accepted.

If you are using LaTeX, please analyze your article’s LaTeX files prior to submission to avoid delays in publishing. The IEEE LaTeX Analyzer will identify potential setbacks such as incomplete files or different versions of LaTeX.

For any questions regarding paper submission, please contact the session organizers (see Committees section).

Submit your paper on EDAS

Registration

Registration details and fees will be provided by the main conference organizers (currently shown as “available soon” on the conference website).

At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings. Accepted papers will be included in the ISCC 2026 proceedings and will be submitted for inclusion to IEEE Xplore.