Project Details
Description
INCISIVE is a 42-months research project, funded under the call DT-TDS-05-2020 – AI for Health Images.
The INCISIVE project aims to develop and validate an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods.
The INCISIVE project aims to develop and validate an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods.
| Acronym | INCISIVE |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/20 → 31/03/24 |
Collaborative partners
Keywords
- AI
- cancer
- Imaging
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 7 Article
-
Evaluation of the INCISIVE services in cancer imaging: a feasibility study
Zacharias, L., Hesso, I., Kayyali, R., Charalambous, A., Triumbari, E. K. A., Chouvarda, I., Loncar-Turukalo, T., Sykiotis, S., Symvoulidis, C., Gutierrez-Torre, A., Nasikas, D. K., Kogut–Czarkowska, M., Roussakis, Y., Maria, C., Maria, L., Trias, S. A., Herrera, D. D., Tsave, O., Alcaraz, A. & Fotopoulos, D. & 11 others, , Feb 2026, In: Seminars in Oncology Nursing. 42, 1, p. 152088 12 p., 152088.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Artificial intelligence in cancer care: a qualitative assessment of researchers’ awareness around AI-driven bias and its impact on health equity
El Khoury, G., Zacharias, L. & Nabhani-Gebara, S., 2026, In: Ethics, Medicine and Public Health. 34, 101247.Research output: Contribution to journal › Article › peer-review
Open Access -
Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
Chouvarda, I., Colantonio, S., Verde, A. S. C., Jimenez-Pastor, A., Cerdá-Alberich, L., Metz, Y., Zacharias, L., Nabhani-Gebara, S., Bobowicz, M., Tsakou, G., Lekadir, K., Tsiknakis, M., Martí-Bonmati, L. & Papanikolaou, N., 2025, In: European Radiology Experimental. 9, 7.Research output: Contribution to journal › Article › peer-review
Open Access