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Cited by in CrossRef
For: Mendoza Ladd A, Diehl DL. Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising. World J Gastroenterol 2021; 27(13): 1283-1295 [PMID: 33833482 DOI: 10.3748/wjg.v27.i13.1283]
URL: https://www.wjgnet.com/1007-9327/full/v27/i13/1283.htm
Number Citing Articles
1
Andreea Iliesiu, Radu-Valeriu Toma, Ana Ciongariu, Radu Costea, Narcis Zarnescu, Liviu Bîlteanu. A pancreatic adenocarcinoma mimicking hepatoid carcinoma of uncertain histogenesis: A case report and literature reviewOncology Letters 2023; 26(4) doi: 10.3892/ol.2023.14029
2
Bo Zhang, Hao Jin, Xiaojing Duan. Physical education movement and comprehensive health quality intervention under the background of artificial intelligenceFrontiers in Public Health 2022; 10 doi: 10.3389/fpubh.2022.947731
3
Shahab Mosallaie, Mahdi Rad, Andrea Schiffauerova, Ashkan Ebadi. Discovering the evolution of artificial intelligence in cancer research using dynamic topic modelingCOLLNET Journal of Scientometrics and Information Management 2021; 15(2): 225 doi: 10.1080/09737766.2021.1958659
4
Tetsuya Takikawa, Kazuhiro Kikuta, Shin Hamada, Kiyoshi Kume, Shin Miura, Naoki Yoshida, Yu Tanaka, Ryotaro Matsumoto, Mio Ikeda, Fumiya Kataoka, Akira Sasaki, Kei Nakagawa, Michiaki Unno, Atsushi Masamune. Clinical features and prognostic impact of asymptomatic pancreatic cancerScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-08083-6
5
Cristian Anghel, Mugur Cristian Grasu, Denisa Andreea Anghel, Gina-Ionela Rusu-Munteanu, Radu Lucian Dumitru, Ioana Gabriela Lupescu. Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence in Analyzing CT and MRI ImagesDiagnostics 2024; 14(4): 438 doi: 10.3390/diagnostics14040438
6
Aaron R Brenner, Passisd Laoveeravat, Patrick J Carey, Danielle Joiner, Samuel H Mardini, Manol Jovani. Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future directionArtificial Intelligence in Gastroenterology 2022; 3(3): 88-95 doi: 10.35712/aig.v3.i3.88
7
Dushyant Singh Dahiya, Mohammad Al-Haddad, Saurabh Chandan, Manesh Kumar Gangwani, Muhammad Aziz, Babu P. Mohan, Daryl Ramai, Andrew Canakis, Jay Bapaye, Neil Sharma. Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail?Journal of Clinical Medicine 2022; 11(24): 7476 doi: 10.3390/jcm11247476
8
PC Sijithra, N. Santhi, N. Ramasamy. A review study on early detection of pancreatic ductal adenocarcinoma using artificial intelligence assisted diagnostic methodsEuropean Journal of Radiology 2023; 166: 110972 doi: 10.1016/j.ejrad.2023.110972
9
Jae Hee Ahn, Hwehoon Chung, Jae Keun Park. Application of Endoscopic Ultrasound-based Artificial Intelligence in Diagnosis of Pancreatic MalignanciesJournal of Digestive Cancer Research 2024; 12(1): 31 doi: 10.52927/jdcr.2024.12.1.31
10
Vikash Kumar, Mrunanjali Gaddam, Amr Moustafa, Rabia Iqbal, Dhir Gala, Mili Shah, Vijay Reddy Gayam, Praneeth Bandaru, Madhavi Reddy, Vinaya Gadaputi. The Utility of Artificial Intelligence in the Diagnosis and Management of Pancreatic CancerCureus 2023;  doi: 10.7759/cureus.49560
11
Alexandra Corina Faur, Daniela Cornelia Lazar, Laura Andreea Ghenciu. Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosisWorld Journal of Gastroenterology 2023; 29(12): 1811-1823 doi: 10.3748/wjg.v29.i12.1811
12
Zainab Jan, Farah El Assadi, Alaa Abd-alrazaq, Puthen Veettil Jithesh. Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping ReviewJournal of Medical Internet Research 2023; 25: e44248 doi: 10.2196/44248
13
Rostislav Kostadinov, Dilyana Vicheva, Lyubomir Paunov, Mariya Georgieva, Vasil Topalov, Svetoslav Georgiev. Artificial Intelligence Implementation for Development of Socially Significant Disease Prediction and Risk Mitigation Monitoring – Patients Perspective2023 International Conference on Applied Mathematics & Computer Science (ICAMCS) 2023; : 63 doi: 10.1109/ICAMCS59110.2023.00017
14
Valeria Tonini, Manuel Zanni. Early diagnosis of pancreatic cancer: What strategies to avoid a foretold catastropheWorld Journal of Gastroenterology 2022; 28(31): 4235-4248 doi: 10.3748/wjg.v28.i31.4235
15
Dhruba Jyoti Borgohain, Raj Kumar Bhardwaj, Manoj Kumar Verma. Mapping the literature on the application of artificial intelligence in libraries (AAIL): a scientometric analysisLibrary Hi Tech 2024; 42(1): 149 doi: 10.1108/LHT-07-2022-0331
16
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, Roberta Galdiero, Nicola Maggialetti, Lucrezia Silvestro, Mario De Bellis, Elena Di Girolamo, Giulia Grazzini, Giuditta Chiti, Maria Chiara Brunese, Andrea Belli, Renato Patrone, Raffaele Palaia, Antonio Avallone, Antonella Petrillo, Francesco Izzo. Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial IntelligenceCancers 2023; 15(2): 351 doi: 10.3390/cancers15020351