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Dababneh et al. Art Int Surg 2024;4:214-32 https://dx.doi.org/10.20517/ais.2024.50 Page 232

68. Bakalis D, Kontogiannis P, Ntais E, Simos YV, Tsamis KI, Manis G. Carpal tunnel syndrome automated diagnosis: a motor vs.
sensory nerve conduction-based approach. Bioengineering 2024;11:175. DOI PubMed PMC
69. Elseddik M, Mostafa RR, Elashry A, et al. Predicting CTS diagnosis and prognosis based on machine learning techniques. Diagnostics
2023;13:492. DOI PubMed PMC
70. Park D, Kim BH, Lee SE, et al. Machine learning-based approach for disease severity classification of carpal tunnel syndrome. Sci Rep
2021;11:17464. DOI PubMed PMC
71. Harrison CJ, Geoghegan L, Sidey-Gibbons CJ, Stirling PHC, McEachan JE, Rodrigues JN. Developing machine learning algorithms to
support patient-centered, value-based carpal tunnel decompression surgery. Plast Reconstr Surg Glob Open 2022;10:e4279. DOI
PubMed PMC
72. Hoogendam L, Bakx JAC, Souer JS, Slijper HP, Andrinopoulou ER, Selles RW; Hand Wrist Study Group. Predicting clinically
relevant patient-reported symptom improvement after carpal tunnel release: a machine learning approach. Neurosurgery 2022;90:106-
13. DOI PubMed
73. Loos NL, Hoogendam L, Souer JS, et al; Hand-Wrist Study Group. Algorithm versus expert: machine learning versus surgeon-
predicted symptom improvement after carpal tunnel release. Neurosurgery 2024;95:110-7. DOI PubMed PMC
74. Orgiu A, Karkazan B, Cannell S, Dechaumet L, Bennani Y, Grégory T. Enhancing wrist arthroscopy: artificial intelligence
applications for bone structure recognition using machine learning. Hand Surg Rehabil 2024:101717. DOI PubMed
75. Henn D, Trotsyuk AA, Barrera JA, et al. Robotics in plastic surgery: it’s here. Plast Reconstr Surg 2023;152:239-49. DOI PubMed
76. Mohapatra DP, Thiruvoth FM, Tripathy S, et al. Leveraging large language models (LLM) for the plastic surgery resident training: do
they have a role? Indian J Plast Surg 2023;56:413-20. DOI PubMed PMC
77. Jagiella-Lodise O, Suh N, Zelenski NA. Can patients rely on ChatGPT to answer hand pathology-related medical questions? Hand
2024:15589447241247246. DOI PubMed
78. Amen TB, Torabian KA, Subramanian T, Yang BW, Liimakka A, Fufa D. Quality of ChatGPT responses to frequently asked
questions in carpal tunnel release surgery. Plast Reconstr Surg Glob Open 2024;12:e5822. DOI PubMed PMC
79. Croen BJ, Abdullah MS, Berns E, et al. Evaluation of patient education materials from large-language artificial intelligence models on
carpal tunnel release. Hand 2024:15589447241247332. DOI PubMed
80. Pohl NB, Derector E, Rivlin M, et al. A quality and readability comparison of artificial intelligence and popular health website
education materials for common hand surgery procedures. Hand Surg Rehabil 2024;43:101723. DOI PubMed
81. Browne R, Gull K, Hurley CM, Sugrue RM, O’Sullivan JB. ChatGPT-4 can help hand surgeons communicate better with patients. J
Hand Surg Glob Online 2024;6:436-8. DOI PubMed PMC
82. Wernér K, Anttila T, Hulkkonen S, Viljakka T, Haapamäki V, Ryhänen J. Detecting avascular necrosis of the lunate from radiographs
using a deep-learning model. J Imaging Inform Med 2024;37:706-14. DOI PubMed PMC
83. Lin KY, Li YT, Han JY, et al. Deep learning to detect triangular fibrocartilage complex injury in wrist MRI: retrospective study with
internal and external validation. J Pers Med 2022;12:1029. DOI PubMed PMC
84. Anttila TT, Aspinen S, Pierides G, Haapamäki V, Laitinen MK, Ryhänen J. Enchondroma detection from hand radiographs with an
interactive deep learning segmentation tool - a feasibility study. J Clin Med 2023;12:7129. DOI PubMed PMC
85. Kim KB, Song DH, Park HJ. Intelligent automatic segmentation of wrist ganglion cysts using DBSCAN and fuzzy C-means.
Diagnostics 2021;11:2329. DOI PubMed PMC
86. Buul MM, Bos KE, Dijkstra PF, van Beek EJ, Broekhuizen AH. Carpal instability, the missed diagnosis in patients with clinically
suspected scaphoid fracture. Injury 1993;24:257-62. DOI PubMed
87. Hendrix N, Hendrix W, Maresch B, et al. Artificial intelligence for automated detection and measurements of carpal instability signs
on conventional radiographs. Eur Radiol 2024. DOI PubMed
88. Gu F, Fan J, Cai C, et al. Automatic detection of abnormal hand gestures in patients with radial, ulnar, or median nerve injury using
hand pose estimation. Front Neurol 2022;13:1052505. DOI PubMed PMC
89. Baxter NB, Ho AZ, Byrd JN, Fernandez AC, Singh K, Chung KC. Predicting persistent opioid use after hand surgery: a machine
learning approach. Plast Reconstr Surg 2024;154:573-80. DOI PubMed
90. Miller R, Farnebo S, Horwitz MD. Insights and trends review: artificial intelligence in hand surgery. J Hand Surg Eur Vol
2023;48:396-403. DOI PubMed
91. Keller M, Guebeli A, Thieringer F, Honigmann P. Artificial intelligence in patient-specific hand surgery: a scoping review of
literature. Int J Comput Assist Radiol Surg 2023;18:1393-403. DOI PubMed PMC
92. Kraus M, Anteby R, Konen E, Eshed I, Klang E. Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and
diagnostic test accuracy meta-analysis. Eur Radiol 2024;34:4341-51. DOI PubMed PMC
93. Oeding JF, Kunze KN, Messer CJ, et al. Diagnostic performance of artificial intelligence for detection of scaphoid and distal radius
fractures: a systematic review. J Hand Surg Am 2024;49:411-22. DOI PubMed
94. Singh G, Anand D, Cho W, Joshi GP, Son KC. Hybrid deep learning approach for automatic detection in musculoskeletal radiographs.
Biology 2022;11:665. DOI PubMed PMC