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Cited by in CrossRef
For: Shi YC, Li J, Li SJ, Li ZP, Zhang HJ, Wu ZY, Wu ZY. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World J Clin Cases 2022; 10(12): 3729-3738 [PMID: 35647170 DOI: 10.12998/wjcc.v10.i12.3729]
URL: https://www.wjgnet.com/2307-8960/full/v10/i12/3729.htm
Number Citing Articles
1
Jiebin Yang, Xinya Qin, Lili Hou, Yamei Liu. Risk prediction models for complications after flap repair surgery: a systematic review and meta-analysisBMC Surgery 2025; 25(1) doi: 10.1186/s12893-025-03072-8
2
Ji-Jin Yang. Prediction of vascular complications in free flap reconstruction with machine learningAmerican Journal of Translational Research 2024; 16(3): 817 doi: 10.62347/ZXJV8062
3
Sara Bassani, Albino Eccher, Gabriele Molteni . Harnessing the Power of Artificial Intelligence: Revolutionizing Free Flaps Monitoring in Head and Neck Tumor Treatment Critical Reviews™ in Oncogenesis 2023; 28(3): 25 doi: 10.1615/CritRevOncog.2023049158
4
Yizhuo Shen, Andrew J. Malek, Renee Gao, Justin M. Broyles. Artificial intelligence in breast reconstructionArtificial Intelligence Surgery 2025; 5(1): 150 doi: 10.20517/ais.2024.71
5
Ashton Rosenbloom, Thomas Gasbeck, Lana Mamoun, Nikhil Shah, Asha Nanda, Gordon Lee. Predicting Surgical Outcomes in Breast Reconstruction With Machine LearningAnnals of Plastic Surgery 2026;  doi: 10.1097/SAP.0000000000004667
6
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong. Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning MethodsHead & Neck 2026;  doi: 10.1002/hed.70235
7
Karla C. Maita, Francisco R. Avila, Ricardo A. Torres-Guzman, John P. Garcia, Gioacchino D. De Sario Velasquez, Sahar Borna, Sally A. Brown, Clifton R. Haider, Olivia S. Ho, Antonio Jorge Forte. The usefulness of artificial intelligence in breast reconstruction: a systematic reviewBreast Cancer 2024; 31(4): 562 doi: 10.1007/s12282-024-01582-6
8
Chunyan Li, Wei Liu, Zhenglin Zhu, Xing Wang, Yanbin Zhang. Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphonesInternational Journal of Surgery 2023; 109(11): 3679 doi: 10.1097/JS9.0000000000000626
9
Abdulkreem Al-Juhani, Faisal Alzahrani, Omer Altamımı, Rodan Desoky , Lajeen Alnowaisser, Ibrahim Altamımı, Abdullah Esmail. Machine Learning Applications Beyond Outcome Prediction in Plastic and Reconstructive Surgery: A Systematic Review of Diagnostic, Intraoperative, and Workflow Optimization ModelsCureus 2025;  doi: 10.7759/cureus.94825
10
Olachi O. Oleru, Kim‐Anh‐Nhi Nguyen, Peter Taub, Arash Kia. Machine Learning‐Based Flap Takeback Prediction Modeling: Theory for a Real‐Time, Patient‐Specific Postoperative Flap Monitoring and Alert SystemMicrosurgery 2025; 45(6) doi: 10.1002/micr.70100
11
Nikoletta Vargas, Daria Hamrah, Marc M. Serra. Artificial Intelligence Technologies and Mobile Applications in Cosmetic Surgery: Trends and RecommendationsThe American Journal of Cosmetic Surgery 2025;  doi: 10.1177/07488068251320224
12
José Eduardo Telich-Tarriba, Juan Marcos Meraz-Soto, Valentina Prieto-Vargas. Aplicaciones de la inteligencia artificial en la cirugía plástica y reconstructiva: una revisión exhaustiva de la literaturaCirugía Plástica 2023; 33(4): 152 doi: 10.35366/113881
13
Ali Imad Alabdalhussein, Mohammed Hasan Al-Khafaji, Peter Conboy, Hitesh Singhavi, Fahid Anwar, Mohammed Elkrim, Miss Hazel Busby-Earle, Oladejo Olaleye, Nakul Patel, Sundar Raj Lakshmiah, Phillip Ameerally, Manish Devendra Mair. Evaluating the accuracy of machine learning in predicting postoperative flap complications: A meta-analysisJournal of Plastic, Reconstructive & Aesthetic Surgery 2025; 111: 23 doi: 10.1016/j.bjps.2025.09.029
14
印梓 黄. Advances in Risk Prediction Models for Vascular Crisis after Free Flap TransplantationAdvances in Clinical Medicine 2026; 16(03): 554 doi: 10.12677/acm.2026.163822
15
Simon A. Savage, Ishith Seth, Zachary G. Angus, Warren M. Rozen. Advancements in microsurgery: A comprehensive systematic review of artificial intelligence applicationsJournal of Plastic, Reconstructive & Aesthetic Surgery 2025; 101: 65 doi: 10.1016/j.bjps.2024.11.023
16
Ionuț Ștefan Ciule, Ariana-Anamaria Cordos, Răzvan Alexandru Ciocan, Andra Ciocan, Maximilian Vlad Muntean, Claudia Diana Gherman. Evaluating Scopus AI Versus Traditional Searches for Literature Review About Prepectoral Breast Reconstruction: An Exploratory StudyMedical Sciences 2025; 13(4): 211 doi: 10.3390/medsci13040211
17
Ayush K. Kapila, Letizia Georgiou, Moustapha Hamdi. Decoding the Impact of AI on Microsurgery: Systematic Review and Classification of Six Subdomains for Future DevelopmentPlastic and Reconstructive Surgery - Global Open 2024; 12(11): e6323 doi: 10.1097/GOX.0000000000006323
18
Jonlin Chen, Ariel Gabay, Minji Kim, Uchechukwu Amakiri, Lillian A. Boe, Carrie Stern, Babak J. Mehrara, Chris Gibbons, Jonas A. Nelson. Artificial Intelligence Risk Prediction Tools for Alloplastic Breast ReconstructionPlastic & Reconstructive Surgery 2025; 156(4): 639 doi: 10.1097/PRS.0000000000012124
19
Gabriele Monarchi, Umberto Committeri, Massimiliano Gilli, Giovanni Salzano, Stefania Troise, Giuseppe Consorti, Roberto Benedetti, Paolo Balercia, Antonio Tullio. Evolution and Optimization of the HALP Formula for Predicting Free Flap Failure: A Progressive Analysis of Predictive AccuracySurgeries 2025; 6(2): 44 doi: 10.3390/surgeries6020044
20
Anne Klausing, Kristina Waschk, Frederick Far, Markus Martini, Franz-Josef Kramer. The Tumor Risk Score (TRS) – next level risk prediction in head and neck tumor surgeryOral and Maxillofacial Surgery 2024; 28(4): 1547 doi: 10.1007/s10006-024-01281-8