This paper is in the following e-collection/theme issue:

Digital Health Reviews (1626) Clinical Information and Decision Making (1765) Artificial Intelligence (1929) Decision Support for Health Professionals (1438) Clinical Cancer Research (104)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44248, first published .
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review

Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review

Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review

Authors of this article:

Zainab Jan1 Author Orcid Image ;   Farah El Assadi1 Author Orcid Image ;   Alaa Abd-alrazaq2 Author Orcid Image ;   Puthen Veettil Jithesh1 Author Orcid Image
Article Authors Cited by (18) Tweetations (5) Metrics

Journals

  1. Badidi E. Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions. Future Internet 2023;15(11):370 View
  2. 吴 冠. To Compare the Stability of Different Clinical Model Frameworks in the Overall Survival Rate and Specific Survival Rate of Patients with Non-Metastatic Pancreatic Head Cancer, Pancreatic Body Cancer and Pancreatic Tail Cancer Based on Machine Learning. Advances in Clinical Medicine 2023;13(11):18150 View
  3. Mohammad N, Huguenin A, Lefebvre A, Menvielle L, Toubas D, Ranque S, Villena I, Tannier X, Normand A, Piarroux R. Nosocomial transmission ofAspergillus flavusin a neonatal intensive care unit: Long-term persistence in environment and interest of MALDI–ToF mass-spectrometry coupled with convolutional neural network for rapid clone recognition. Medical Mycology 2024;62(1) View
  4. Dodda K, Muneeswari G. IANFIS: a machine learning–based optimized technique for the classification and segmentation of pancreatic cancer. Research on Biomedical Engineering 2024;40(2):373 View
  5. Zadeh Shirazi A, Tofighi M, Gharavi A, Gomez G. The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide. Technology in Cancer Research & Treatment 2024;23 View
  6. Liu W, Zhang B, Liu T, Jiang J, Liu Y. Artificial Intelligence in Pancreatic Image Analysis: A Review. Sensors 2024;24(14):4749 View
  7. Conforti I, Benzi A, Caffa I, Bruzzone S, Nencioni A, Marra A. New Analogues of the Nicotinamide Phosphoribosyltransferase Inhibitor FK866 as Potential Anti-Pancreatic Cancer Agents. Medicinal Chemistry 2024;20(7):694 View
  8. Shirzad M, Salahvarzi A, Razzaq S, Javid-Naderi M, Rahdar A, Fathi-karkan S, Ghadami A, Kharaba Z, Romanholo Ferreira L. Revolutionizing prostate cancer therapy: Artificial intelligence – Based nanocarriers for precision diagnosis and treatment. Critical Reviews in Oncology/Hematology 2025;208:104653 View
  9. Xu H, Gong T, Song X, Chen Q, Bao Q, Yao W, Xie M, Li C, Grzegorzek M, Shi Y, Sun H, Li X, Zhao Y, Gao S, Wu Q. Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews. Journal of Medical Internet Research 2025;27:e53567 View
  10. Shi C, Chen G, Ye M, Xia Z, Ye Y, Kushwaha A, Wang J, Kumar A, Pan Y. Advances in AI-driven applications of metal-organic frameworks for the diagnosis and treatment of pancreatic cancer. Dyes and Pigments 2025;242:112957 View
  11. Hu Y, Lei S, Zhang Z, Wang K, Ji Z. Exploration of the current status and trends of pancreatic cancer immune cells in the past 30 years: a bibliometric analysis. Discover Oncology 2025;16(1) View
  12. Chong P, Vaigeshwari V, Mohammed Reyasudin B, Noor Hidayah b, Tatchanaamoorti P, Yeow J, Kong F. Integrating artificial intelligence in healthcare: applications, challenges, and future directions. Future Science OA 2025;11(1) View
  13. Wang L, Wang W, Ji Y, Zong G. The product of waist-to-height ratio and glycated hemoglobin, a novel predictor of diabetes in East Asian populations: insights from two large East Asian cohort studies. Diabetology & Metabolic Syndrome 2025;17(1) View
  14. Lin Z, Adeniran E, Cai Y, Qureshi T, Li D, Gong J, Li J, Pandol S, Jiang Y. Early Detection of Pancreatic Cancer: Current Advances and Future Opportunities. Biomedicines 2025;13(7):1733 View

Conference Proceedings

  1. Topalov V, Kostadinov R, Vicheva D, Paunov L, Georgieva M, Papazova M. 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS). The Primary Healthcare Providers’ Attitudes towards Artificial Intelligence and Information Communication Technologies Implementation into Pancreatic Cancer Risk Prediction, Prevention and Early Diagnosis View
  2. Nicolăescu C, Enescu F, Bizon N. 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). Designing of Medical Diagnostic System based on Blockchain and Artificial Intelligence Technologies View
  3. Mahendran R, P A, P K. 2025 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET). PancreasNet: A Transformer-Based Progressive Residual Network for Comprehensive Pancreatic Cancer Detection using CT Images View
  4. Naresh K, Ganesh D. 2024 Intelligent Systems and Machine Learning Conference (ISML). A Review of Deep Learning Methods for Early Prediction of Pancreatic Cancer in High-Risk Populations View