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

Machine Learning (1501) Clinical Information and Decision Making (1434) Nosocomial Infections (21) Electronic Health Records (1068) Natural Language Processing (706) Hygiene and Infection Prevention (325) Infectious Diseases (non-STD/STI) (1592) Perioperative Infection Control and Prevention (8)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18186, first published .
Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

Authors of this article:

Weijia Chen1 Author Orcid Image ;   Zhijun Lu1 Author Orcid Image ;   Lijue You2 Author Orcid Image ;   Lingling Zhou3 Author Orcid Image ;   Jie Xu4, 5 Author Orcid Image ;   Ken Chen1, 5, 6 Author Orcid Image
Article Authors Cited by (20) Tweetations (2) Metrics

Journals

  1. Yan W, Shi H, He T, Chen J, Wang C, Liao A, Yang W, Wang H. Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma. Frontiers in Oncology 2021;11 View
  2. Bagheri A, Groenhof T, Asselbergs F, Haitjema S, Bots M, Veldhuis W, de Jong P, Oberski D, Liu A. Automatic Prediction of Recurrence of Major Cardiovascular Events: A Text Mining Study Using Chest X-Ray Reports. Journal of Healthcare Engineering 2021;2021:1 View
  3. Kiser A, Eilbeck K, Ferraro J, Skarda D, Samore M, Bucher B. Standard Vocabularies to Improve Machine Learning Model Transferability With Electronic Health Record Data: Retrospective Cohort Study Using Health Care–Associated Infection. JMIR Medical Informatics 2022;10(8):e39057 View
  4. Chen K, Joisa C, Stem J, Guillem J, Gomez S, Kapadia M. Improved Prediction of Surgical Site Infection after Colorectal Surgery Using Machine Learning. Diseases of the Colon & Rectum 2022 View
  5. Rudiman R. Minimally invasive gastrointestinal surgery: From past to the future. Annals of Medicine and Surgery 2021;71:102922 View
  6. Wu G, Khair S, Yang F, Cheligeer C, Southern D, Zhang Z, Feng Y, Xu Y, Quan H, Williamson T, Eastwood C. Performance of machine learning algorithms for surgical site infection case detection and prediction: A systematic review and meta-analysis. Annals of Medicine and Surgery 2022;84:104956 View
  7. Sakamoto T, Goto T, Fujiogi M, Kawarai Lefor A. Machine learning in gastrointestinal surgery. Surgery Today 2022;52(7):995 View
  8. Bronsert M, Henderson W, Colborn K, Dyas A, Madsen H, Zhuang Y, Lambert-Kerzner A, Meguid R. Effect of Present at Time of Surgery on Unadjusted and Risk-Adjusted Postoperative Complication Rate. Journal of the American College of Surgeons 2023;236(1):7 View
  9. Kadem M, Garber L, Abdelkhalek M, Al-Khazraji B, Keshavarz-Motamed Z. Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions. IEEE Reviews in Biomedical Engineering 2023;16:403 View
  10. Irgang L, Barth H, Holmén M. Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review. Journal of Healthcare Informatics Research 2023;7(1):1 View
  11. Zhang J, Xue F, Liu S, Liu D, Wu Y, Zhao D, Liu Z, Ma W, Han R, Shan L, Duan X. Risk factors and prediction model for inpatient surgical site infection after elective abdominal surgery. World Journal of Gastrointestinal Surgery 2023;15(3):387 View
  12. Flores-Balado Á, Castresana Méndez C, Herrero González A, Mesón Gutierrez R, de las Casas Cámara G, Vila Cordero B, Arcos J, Pfang B, Martín-Ríos M. Using artificial intelligence to reduce orthopedic surgical site infection surveillance workload: Algorithm design, validation, and implementation in 4 Spanish hospitals. American Journal of Infection Control 2023;51(11):1225 View
  13. Rafaqat W, Fatima H, Kumar A, Khan S, Khurram M. Machine Learning Model for Assessment of Risk Factors and Postoperative Day for Superficial vs Deep/Organ-Space Surgical Site Infections. Surgical Innovation 2023;30(4):455 View
  14. McLean K, Goel T, Lawday S, Riad A, Simoes J, Knight S, Ghosh D, Glasbey J, Bhangu A, Harrison E. Prognostic models for surgical-site infection in gastrointestinal surgery: systematic review. British Journal of Surgery 2023;110(11):1441 View
  15. Jennings J, Arts J, Abuhussein E, Alt V, Ashton N, Baertl S, Bhattacharyya S, Cain J, Dintakurthi Y, Ducheyne P, Duffy H, Falconer R, Gautreaux M, Gianotti S, Hamilton J, Hylen A, van Hoogstraten S, Libos A, Markovics A, Mdingi V, Montgomery E, Morgenstern M, Obremskey W, Priddy L, Tate J, Ren Y, Ricciardi B, Tucker L, Weeks J, Vanvelk N, Williams D, Xie C, Hickok N, Schwarz E, Fintan Moriarty T. 2023 International Consensus Meeting on musculoskeletal infection: Summary from the treatment workgroup and consensus on treatment in preclinical models. Journal of Orthopaedic Research 2024;42(3):500 View
  16. Arzilli G, De Vita E, Pasquale M, Carloni L, Pellegrini M, Di Giacomo M, Esposito E, Porretta A, Rizzo C. Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review. Antibiotics 2024;13(1):77 View
  17. Zhao B, Liu H, Liu Q, Qi W, Zhang W, Du J, Jin Y, Weng X. Breaking Boundaries in Spinal Surgery: GPT-4's Quest to Revolutionize Surgical Site Infection Management. The Journal of Infectious Diseases 2024 View
  18. Radaelli D, Di Maria S, Jakovski Z, Alempijevic D, Al-Habash I, Concato M, Bolcato M, D’Errico S. Advancing Patient Safety: The Future of Artificial Intelligence in Mitigating Healthcare-Associated Infections: A Systematic Review. Healthcare 2024;12(19):1996 View
  19. Neuman I, Shvartser L, Teppler S, Friedman Y, Levine J, Kagan I, Bishara J, Kushinir S, Singer P, Amanati A. A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection. PLOS ONE 2024;19(12):e0311576 View