Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis

The use of AI and ML along with diagnostic modality presents a promising alternative to conventional diagnostic modality owing to the display of convincing diagnostic metric for detection of PDAC. Further prospective studies are needed to study the efficacy of this new approach, along with its incorporation with genomic, proteomic, and metabolomic data to develop multi-omic predictive frameworks to further improve PDAC detection.

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Publication Details

Journal
Journal of Gastrointestinal Surgery
Published
2026-02-16
DOI
https://doi.org/10.1016/j.gassur.2026.102374
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis

Asif Hussain, Zayan Alidina, Illiyun Banani, Timothy M. Pawlik et al.
Journal of Gastrointestinal Surgery
Radiomics and Machine Learning in Medical Imaging
article

Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis

Asif Hussain, Zayan Alidina, Illiyun Banani, Timothy M. Pawlik, Muhammad Rafique Khan
article en

Abstract

The use of AI and ML along with diagnostic modality presents a promising alternative to conventional diagnostic modality owing to the display of convincing diagnostic metric for detection of PDAC. Further prospective studies are needed to study the efficacy of this new approach, along with its incorporation with genomic, proteomic, and metabolomic data to develop multi-omic predictive frameworks to further improve PDAC detection.

Journal of Gastrointestinal SurgeryVol. 30(5)
Aga Khan University (PK), The Ohio State University Wexner Medical Center (US)
Good health and well-being
Openalex Percentile: Top 55%
Radiomics and Machine Learning in Medical Imaging
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