{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T11:19:10Z","timestamp":1774523950391,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,13]]},"DOI":"10.1145\/3706890.3706895","type":"proceedings-article","created":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T13:37:20Z","timestamp":1736775440000},"page":"27-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["The Transformative Impact of Artificial Intelligence on Peripheral Nerve Repair"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6035-2116","authenticated-orcid":false,"given":"Bocheng","family":"Cui","sequence":"first","affiliation":[{"name":"School of Medicine, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1164-7494","authenticated-orcid":false,"given":"Shanshan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Medicine, Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7271-7655","authenticated-orcid":false,"given":"Xin","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Medicine, Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,1,13]]},"reference":[{"key":"e_1_3_3_1_1_2","first-page":"718","volume":"202","author":"Barnes S.L.","unstructured":"Barnes, S.L., T.A. Miller, and N.G. Simon, Traumatic peripheral nerve injuries: diagnosis and management. Curr Opin Neurol, 2022. 35(6): p. 718-727.","journal-title":"Curr Opin Neurol"},{"key":"e_1_3_3_1_2_2","volume":"202","author":"Gordon T.","unstructured":"Gordon, T., Peripheral Nerve Regeneration and Muscle Reinnervation. Int J Mol Sci, 2020. 21(22).","journal-title":"Muscle Reinnervation. Int J Mol Sci"},{"key":"e_1_3_3_1_3_2","volume-title":"History of peripheral nerve injuries. J Hand Surg Eur Vol","author":"Irisarri C.","year":"2024","unstructured":"Irisarri, C., History of peripheral nerve injuries. J Hand Surg Eur Vol, 2024. 49(6): p. 812-823."},{"key":"e_1_3_3_1_4_2","volume":"202","author":"Lopes B.","unstructured":"Lopes, B., et al., Peripheral Nerve Injury Treatments and Advances: One Health Perspective. Int J Mol Sci, 2022. 23(2).","journal-title":"Int J Mol Sci"},{"key":"e_1_3_3_1_5_2","volume-title":"Peripheral nerve injury and myelination: Potential therapeutic strategies. J Neurosci Res","author":"Modrak M.","year":"2020","unstructured":"Modrak, M., et al., Peripheral nerve injury and myelination: Potential therapeutic strategies. J Neurosci Res, 2020. 98(5): p. 780-795."},{"key":"e_1_3_3_1_6_2","volume-title":"Artificial Intelligence and Machine Learning in Clinical Medicine","author":"Haug C.J.","year":"2023","unstructured":"Haug, C.J. and J.M. Drazen, Artificial Intelligence and Machine Learning in Clinical Medicine, 2023. N Engl J Med, 2023. 388(13): p. 1201-1208."},{"key":"e_1_3_3_1_7_2","first-page":"803","volume":"201","author":"Niel O.","unstructured":"Niel, O. and P. Bastard, Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives. Am J Kidney Dis, 2019. 74(6): p. 803-810.","journal-title":"Perspectives. Am J Kidney Dis"},{"key":"e_1_3_3_1_8_2","first-page":"47","volume-title":"Nature","author":"Wang H.","year":"2023","unstructured":"Wang, H., et al., Scientific discovery in the age of artificial intelligence. Nature, 2023. 620(7972): p. 47-60."},{"key":"e_1_3_3_1_9_2","volume-title":"Machine Learning Methods in Drug Discovery. Molecules","author":"Patel L.","year":"2020","unstructured":"Patel, L., et al., Machine Learning Methods in Drug Discovery. Molecules, 2020. 25(22)."},{"key":"e_1_3_3_1_10_2","first-page":"3","volume":"202","author":"Chan H.P.","unstructured":"Chan, H.P., et al., Deep Learning in Medical Image Analysis. Adv Exp Med Biol, 2020. 1213: p. 3-21.","journal-title":"Deep Learning in Medical Image Analysis. Adv Exp Med Biol"},{"key":"e_1_3_3_1_11_2","first-page":"3529","volume":"202","author":"Mathieu L.","unstructured":"Mathieu, L., et al., Ballistic peripheral nerve injuries: basic concepts, controversies, and proposal for a management strategy. Eur J Trauma Emerg Surg, 2022. 48(5): p. 3529-3539.","journal-title":"Eur J Trauma Emerg Surg"},{"key":"e_1_3_3_1_12_2","volume-title":"Distal nerve transfers for peripheral nerve injuries: indications and outcomes. J Hand Surg Eur Vol","author":"Bertelli J.A.","year":"2024","unstructured":"Bertelli, J.A., et al., Distal nerve transfers for peripheral nerve injuries: indications and outcomes. J Hand Surg Eur Vol, 2024. 49(6): p. 721-733."},{"key":"e_1_3_3_1_13_2","first-page":"661","volume":"202","author":"Robinson L.R.","unstructured":"Robinson, L.R., Traumatic injury to peripheral nerves. Muscle Nerve, 2022. 66(6): p. 661-670.","journal-title":"Muscle Nerve"},{"key":"e_1_3_3_1_14_2","first-page":"2564","volume":"202","author":"Allgood J.E.","unstructured":"Allgood, J.E., G.D. Bittner, and J.S. Bushman, Repair and regeneration of peripheral nerve injuries that ablate branch points. Neural Regen Res, 2023. 18(12): p. 2564-2568.","journal-title":"Neural Regen Res"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2023.1250808"},{"key":"e_1_3_3_1_16_2","first-page":"708","volume":"202","author":"Wu K.Y.","unstructured":"Wu, K.Y., R.J. Spinner, and A.Y. Shin, Traumatic brachial plexus injury: diagnosis and treatment. Curr Opin Neurol, 2022. 35(6): p. 708-717.","journal-title":"Curr Opin Neurol"},{"key":"e_1_3_3_1_17_2","first-page":"9","volume":"201","author":"Kornfeld T.","unstructured":"Kornfeld, T., P.M. Vogt, and C. Radtke, Nerve grafting for peripheral nerve injuries with extended defect sizes. Wien Med Wochenschr, 2019. 169(9-10): p. 240-251.","journal-title":"Wien Med Wochenschr"},{"key":"e_1_3_3_1_18_2","first-page":"1457","volume":"202","author":"Mauch J.T.","unstructured":"Mauch, J.T., et al., Targeted muscle reinnervation and regenerative peripheral nerve interfaces for pain prophylaxis and treatment: A systematic review. PM R, 2023. 15(11): p. 1457-1465.","journal-title":"PM R"},{"key":"e_1_3_3_1_19_2","first-page":"726","volume":"202","author":"Pan D.","unstructured":"Pan, D., S.E. Mackinnon, and M.D. Wood, Advances in the repair of segmental nerve injuries and trends in reconstruction. Muscle Nerve, 2020. 61(6): p. 726-739.","journal-title":"Muscle Nerve"},{"key":"e_1_3_3_1_20_2","first-page":"282","volume":"200","author":"Matejcik V.","unstructured":"Matejcik, V., Surgical repair of peripheral nerves in lower extremities. Bratisl Lek Listy, 2001. 102(6): p. 282-5.","journal-title":"Bratisl Lek Listy"},{"key":"e_1_3_3_1_21_2","first-page":"208","volume":"202","author":"Donzelli R.","unstructured":"Donzelli, R., et al., Microsurgical repair by autografting in traumatic injuries of peripheral nerves. J Neurosurg Sci, 2022. 66(3): p. 208-214.","journal-title":"J Neurosurg Sci"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12893-021-01049-x"},{"key":"e_1_3_3_1_23_2","first-page":"295","volume":"202","author":"Strommen J.A.","unstructured":"Strommen, J.A., S. Skinner, and B.A. Crum, Neurophysiology during peripheral nerve surgery. Handb Clin Neurol, 2022. 186: p. 295-318.","journal-title":"Handb Clin Neurol"},{"key":"e_1_3_3_1_24_2","first-page":"2573","volume":"202","author":"Carlson Strother C.","unstructured":"Carlson Strother, C., et al., Surgical management of peroneal nerve injuries. Acta Neurochir (Wien), 2023. 165(9): p. 2573-2580.","journal-title":"Surgical management of peroneal nerve injuries. Acta Neurochir (Wien)"},{"key":"e_1_3_3_1_25_2","first-page":"e549","volume":"202","author":"Johnson P.","unstructured":"Johnson, P., et al., Improvement in Postoperative Pain Control and Length of Stay With Peripheral Nerve Block Prior to Distal Radius Repair. Orthopedics, 2020. 43(6): p. e549-e552.","journal-title":"Orthopedics"},{"key":"e_1_3_3_1_26_2","first-page":"814e","volume":"202","author":"Lans J.","unstructured":"Lans, J., et al., A Systematic Review and Meta-Analysis of Nerve Gap Repair: Comparative Effectiveness of Allografts, Autografts, and Conduits. Plast Reconstr Surg, 2023. 151(5): p. 814e-827e.","journal-title":"Plast Reconstr Surg"},{"key":"e_1_3_3_1_27_2","first-page":"27","volume":"202","author":"Langridge B.","unstructured":"Langridge, B., et al., Long-Term Outcomes following Pediatric Peripheral Nerve Injury Repair. J Hand Microsurg, 2020. 12(1): p. 27-31.","journal-title":"Long-Term Outcomes following Pediatric Peripheral Nerve Injury Repair. J Hand Microsurg"},{"key":"e_1_3_3_1_28_2","volume-title":"Pathophysiology of Post-Traumatic Trigeminal Neuropathic Pain. Biomolecules","author":"Korczeniewska O.A.","year":"2022","unstructured":"Korczeniewska, O.A., et al., Pathophysiology of Post-Traumatic Trigeminal Neuropathic Pain. Biomolecules, 2022. 12(12)."},{"key":"e_1_3_3_1_29_2","first-page":"1308","volume":"202","author":"Singh V.K.","unstructured":"Singh, V.K., et al., Approach to management of nerve gaps in peripheral nerve injuries. Injury, 2022. 53(4): p. 1308-1318.","journal-title":"Injury"},{"key":"e_1_3_3_1_30_2","first-page":"89","volume":"202","author":"Foy C.","unstructured":"Foy, C., G. Olivella, and D. Kuffler, Prospects for Improving the Extent of Recovery following Peripheral Nerve Trauma: A Review. P R Health Sci J, 2022. 41(2): p. 89-95.","journal-title":"R Health Sci J"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105909"},{"key":"e_1_3_3_1_32_2","first-page":"90","volume":"201","author":"Zhang Y.","unstructured":"Zhang, Y., et al., Dual-domain convolutional neural networks for improving structural information in 3\u202fT MRI. Magn Reson Imaging, 2019. 64: p. 90-100.","journal-title":"Magn Reson Imaging"},{"key":"e_1_3_3_1_33_2","first-page":"3845","volume":"202","author":"Shi Z.","unstructured":"Shi, Z., et al., A semi-supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction. Med Phys, 2022. 49(6): p. 3845-3859.","journal-title":"Med Phys"},{"key":"e_1_3_3_1_34_2","volume":"202","author":"Alam U.","unstructured":"Alam, U., et al., Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship. J Clin Med, 2022. 11(20).","journal-title":"J Clin Med"},{"key":"e_1_3_3_1_35_2","volume-title":"Sensors","author":"Berenguer-Vidal R.","year":"2021","unstructured":"Berenguer-Vidal, R., et al., Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging. Sensors (Basel), 2021. 21(23)."},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13000-023-01375-z"},{"key":"e_1_3_3_1_37_2","first-page":"733","volume":"201","author":"Shiino A.","unstructured":"Shiino, A., [Artificial Intelligence for Diagnostic Support of Neuroimage]. Brain Nerve, 2019. 71(7): p. 733-748.","journal-title":"Brain Nerve"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2021.105528"},{"key":"e_1_3_3_1_39_2","volume-title":"Semi-Automated and Deep Learning Approaches Following Standardized Models of Peripheral Nerve Injury in Mice. Biomolecules","author":"Umansky D.","year":"2022","unstructured":"Umansky, D., et al., Functional Gait Assessment Using Manual, Semi-Automated and Deep Learning Approaches Following Standardized Models of Peripheral Nerve Injury in Mice. Biomolecules, 2022. 12(10)."},{"key":"e_1_3_3_1_40_2","first-page":"611","volume":"200","author":"Healey M.A.","unstructured":"Healey, M.A., et al., Complications in surgical patients. Arch Surg, 2002. 137(5): p. 611-7; discussion 617-8.","journal-title":"Complications in surgical patients. Arch Surg"},{"key":"e_1_3_3_1_41_2","first-page":"148","volume":"202","author":"Loftus T.J.","unstructured":"Loftus, T.J., et al., Artificial Intelligence and Surgical Decision-making. JAMA Surg, 2020. 155(2): p. 148-158.","journal-title":"Artificial Intelligence and Surgical Decision-making. JAMA Surg"},{"key":"e_1_3_3_1_42_2","first-page":"e481","volume":"201","author":"Delahanty R.J.","unstructured":"Delahanty, R.J., D. Kaufman, and S.S. Jones, Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients. Crit Care Med, 2018. 46(6): p. e481-e488.","journal-title":"In-Hospital Mortality Risk Adjustment Among Critical Care Patients. Crit Care Med"},{"key":"e_1_3_3_1_43_2","first-page":"790","volume":"202","author":"Silverman J.","unstructured":"Silverman, J., et al., Preoperative electrodiagnostic planning for upper limb peripheral nerve transfers in cervical spinal cord injury: A narrative review. PM R, 2023. 15(6): p. 790-799.","journal-title":"PM R"},{"key":"e_1_3_3_1_44_2","volume":"202","author":"Fan N.","unstructured":"Fan, N., et al., Design of a robot-assisted system for transforaminal percutaneous endoscopic lumbar surgeries: study protocol. J Orthop Surg Res, 2020. 15(1): p. 479.","journal-title":"J Orthop Surg Res"},{"key":"e_1_3_3_1_45_2","first-page":"450","volume":"202","author":"Bodenstedt S.","unstructured":"Bodenstedt, S., et al., Artificial Intelligence-Assisted Surgery: Potential and Challenges. Visc Med, 2020. 36(6): p. 450-455.","journal-title":"Artificial Intelligence-Assisted Surgery: Potential and Challenges. Visc Med"}],"event":{"name":"ISAIMS 2024: 2024 5th International Symposium on Artificial Intelligence for Medicine Science","location":"Amsterdam Netherlands","acronym":"ISAIMS 2024"},"container-title":["Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706890.3706895","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706890.3706895","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:46Z","timestamp":1750295926000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706890.3706895"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,13]]},"references-count":45,"alternative-id":["10.1145\/3706890.3706895","10.1145\/3706890"],"URL":"https:\/\/doi.org\/10.1145\/3706890.3706895","relation":{},"subject":[],"published":{"date-parts":[[2024,8,13]]},"assertion":[{"value":"2025-01-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}