Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

📍Biskra, Algeria🗓️ 13-14 April 2026
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BreCAI: An AI-Powered Platform for Clinical Decision Support in Breast Cancer Diagnosis

Authors
Ranya Hadjadj1, *, Abdelkrim Bouramoul1, Djamel Benmerzoug2
1MISC Laboratory, University of Abdelhamid Mehri Constantine 2, Constantine, 25000, Algeria
2LIRE Laboratory, University of Abdelhamid Mehri Constantine 2, Constantine, 25000, Algeria
*Corresponding author. Email: rania.hadjadj@univ-constantine2.dz
Corresponding Author
Ranya Hadjadj
Available Online 24 June 2026.
DOI
10.2991/978-94-6239-711-8_39How to use a DOI?
Keywords
Invasive Ductal Carcinoma; Digital Pathology Platform; Deep Learning; Histopathological Images; BreCAI
Abstract

Invasive Ductal Carcinoma (IDC) is the most common and aggressive subtype of breast cancer, requiring early and reliable diagnosis to support clinical decision-making. This paper presents BreCAI, an AI-powered digital pathology platform designed to assist IDC diagnosis through an end-to-end workflow integrating secure access, histopathological image upload, automated AI-based analysis, result visualization, and structured report generation. The platform embeds a deep learning diagnostic engine based on transfer learning to perform patch-level analysis and produce probabilistic IDC predictions. BreCAI was evaluated under real Algerian clinical conditions using independent histopathological slides, demonstrating stable behavior and practical usability for routine pathology workflows.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
24 June 2026
ISBN
978-94-6239-711-8
ISSN
2352-5428
DOI
10.2991/978-94-6239-711-8_39How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ranya Hadjadj
AU  - Abdelkrim Bouramoul
AU  - Djamel Benmerzoug
PY  - 2026
DA  - 2026/06/24
TI  - BreCAI: An AI-Powered Platform for Clinical Decision Support in Breast Cancer Diagnosis
BT  - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
PB  - Atlantis Press
SP  - 419
EP  - 429
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-711-8_39
DO  - 10.2991/978-94-6239-711-8_39
ID  - Hadjadj2026
ER  -