Abstract A082: IFOCOM Pancreas AI: A deep learning–based artificial intelligence system for early detection and clinical decision support in pancreatic cancer
MOUBARAK IBRAHIMA MADOUGOUAbstract
Background:
Pancreatic cancer remains one of the deadliest malignancies worldwide because of delayed diagnosis and limited opportunities for curative treatment. Artificial intelligence (AI) has emerged as a promising approach to improve early detection and support clinical decision-making through advanced medical image analysis. This study describes the development and preliminary technical evaluation of IFOCOM Pancreas AI, a deep learning–based artificial intelligence system designed to support early detection of pancreatic cancer.
Methods:
IFOCOM Pancreas AI was developed using a deep learning–based architecture for automated analysis of annotated pancreatic imaging datasets. The prototype integrates image quality assessment, preprocessing, feature extraction, lesion localisation, and AI-assisted classification to identify imaging patterns associated with pancreatic malignancy. Preliminary technical evaluation was performed to assess feasibility, robustness, and reproducibility. Prospective clinical validation is currently underway.
Results:
Preliminary technical evaluation demonstrated the feasibility of IFOCOM Pancreas AI for automated pancreatic image analysis. The prototype performed image quality assessment, lesion localisation, feature extraction, and AI-assisted lesion classification on annotated imaging datasets, supporting its potential as a computer-aided diagnostic support system for pancreatic cancer. Ongoing clinical validation aims to evaluate diagnostic performance, reproducibility, generalisability, and clinical utility.
Conclusions:
IFOCOM Pancreas AI represents a promising deep learning–based clinical decision support system for pancreatic cancer. Further prospective multicentre clinical validation will determine its diagnostic performance and potential integration into pancreatic cancer diagnostic pathways.
AI Disclosure:
During the preparation of this work, the authors used ChatGPT (OpenAI) to assist with language refinement and drafting support. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.
Citation Format:
MOUBARAK IBRAHIMA MADOUGOU. IFOCOM Pancreas AI: A deep learning–based artificial intelligence system for early detection and clinical decision support in pancreatic cancer [abstract]. In: Proceedings of the AACR Conference on Pancreatic Cancer: New Frontiers in Biology and Therapeutic Development; 2026 Sep 25-28; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(18_Suppl_2):Abstract nr A082.