{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T06:01:12Z","timestamp":1787032872648,"version":"build-2736575974"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,27]]},"DOI":"10.7759\/cureus.78068","type":"journal-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T10:24:24Z","timestamp":1737973464000},"source":"Crossref","is-referenced-by-count":5,"title":["Evaluating ChatGPT\u2019s Performance in Classifying Pertrochanteric Fractures Based on Arbeitsgemeinschaft f\u00fcr Osteosynthesefragen\/Orthopedic Trauma Association (AO\/OTA) Standards"],"prefix":"10.7759","author":[{"given":"Mitsuaki","family":"Noda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunsuke","family":"Takahara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinya","family":"Hayashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsuyuki","family":"Inui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keisuke","family":"Oe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takehiko","family":"Matsushita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.13952","article-title":"The financial burden of delayed hip fracture surgery: a single-center experience","volume":"13","author":"Chatziravdeli V","year":"2021","unstructured":"Chatziravdeli V, Vasiliadis AV, Vazakidis P, Tsatlidou M, Katsaras GN, Beletsiotis A. The financial burden of delayed hip fracture surgery: a single-center experience. Cureus. 2021, 13:e13952. 10.7759\/cureus.13952","journal-title":"Cureus"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/os.12396","article-title":"Three-dimensional CT improves the reproducibility of stability evaluation for intertrochanteric fractures","volume":"10","author":"Cho YC","year":"2018","unstructured":"Cho YC, Lee PY, Lee CH, Chen CH, Lin YM. Three-dimensional CT improves the reproducibility of stability evaluation for intertrochanteric fractures. Orthop Surg. 2018, 10:212-17. 10.1111\/os.12396","journal-title":"Orthop Surg"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00264-020-04795-4","article-title":"Does auxiliary cerclage wiring provide intrinsic stability in cephalomedullary nailing of trochanteric and subtrochanteric fractures?","volume":"45","author":"Rehme J","year":"2021","unstructured":"Rehme J, Woltmann A, Brand A, von R\u00fcden C. Does auxiliary cerclage wiring provide intrinsic stability in cephalomedullary nailing of trochanteric and subtrochanteric fractures?. Int Orthop. 2021, 45:1329-36. 10.1007\/s00264-020-04795-4","journal-title":"Int Orthop"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijsu.2017.05.042","article-title":"Intramedullary nails versus sliding hip screws for AO\/OTA 31-A2 trochanteric fractures in adults: a meta-analysis","volume":"43","author":"Zhu Q","year":"2017","unstructured":"Zhu Q, Xu X, Yang X, Chen X, Wang L, Liu C, Lin P. Intramedullary nails versus sliding hip screws for AO\/OTA 31-A2 trochanteric fractures in adults: a meta-analysis. Int J Surg. 2017, 43:67-74. 10.1016\/j.ijsu.2017.05.042","journal-title":"Int J Surg"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10020171","article-title":"Inferior outcome after unstable trochanteric fracture patterns compared to stable fractures in the elderly","volume":"10","author":"Gleich J","year":"2021","unstructured":"Gleich J, Neuerburg C, Linhart C, et al.. Inferior outcome after unstable trochanteric fracture patterns compared to stable fractures in the elderly. J Clin Med. 2021, 10:171. 10.3390\/jcm10020171","journal-title":"J Clin Med"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.injury.2020.10.067","article-title":"Inter- and intra-observer reliability of the new AO\/OTA classification of proximal femur fractures","volume":"52","author":"Chan G","year":"2021","unstructured":"Chan G, Hughes K, Barakat A, Edres K, da Assuncao R, Page P, Dawe E. Inter- and intra-observer reliability of the new AO\/OTA classification of proximal femur fractures. Injury. 2021, 52:1434-7. 10.1016\/j.injury.2020.10.067","journal-title":"Injury"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.4314\/ejhs.v30i5.15","article-title":"Evaluation of the inter and intra-observer reliability of the AO classification of intertrochanteric fractures and the device choice (DHS, PFNA, and DCS) of fixations","volume":"30","author":"Zarie M","year":"2020","unstructured":"Zarie M, Mohamoud MF, Farhoud AR, Bagheri N, Khan FM, Heshmatifar M, Klantar H. Evaluation of the inter and intra-observer reliability of the AO classification of intertrochanteric fractures and the device choice (DHS, PFNA, and DCS) of fixations. Ethiop J Health Sci. 2020, 30:755-60. 10.4314\/ejhs.v30i5.15","journal-title":"Ethiop J Health Sci"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2023.45892","article-title":"Perceptions of data set experts on important characteristics of health data sets ready for machine learning. A qualitative study","volume":"6","author":"Ng MY","year":"2023","unstructured":"Ng MY, Youssef A, Miner AS, et al.. Perceptions of data set experts on important characteristics of health data sets ready for machine learning. A qualitative study. JAMA Netw Open. 2023, 6:e2345892. 10.1001\/jamanetworkopen.2023.45892","journal-title":"JAMA Netw Open"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.45594","article-title":"Artificial intelligence in healthcare: perception and reality","volume":"15","author":"Akinrinmade AO","year":"2023","unstructured":"Akinrinmade AO, Adebile TM, Ezuma-Ebong C, et al.. Artificial intelligence in healthcare: perception and reality. Cureus. 2023, 15:e45594. 10.7759\/cureus.45594","journal-title":"Cureus"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.64924","article-title":"Performance of ChatGPT in solving questions from the progress test (Brazilian national medical exam): a potential artificial intelligence tool in medical practice","volume":"16","author":"Rodrigues Alessi M","year":"2024","unstructured":"Rodrigues Alessi M, Gomes HA, Lopes de Castro M, Terumy Okamoto C. Performance of ChatGPT in solving questions from the progress test (Brazilian national medical exam): a potential artificial intelligence tool in medical practice. Cureus. 2024, 16:e64924. 10.7759\/cureus.64924","journal-title":"Cureus"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000198","article-title":"Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models","volume":"2","author":"Kung TH","year":"2023","unstructured":"Kung TH, Cheatham M, Medenilla A, et al.. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Health. 2023, 2:e0000198. 10.1371\/journal.pdig.0000198","journal-title":"PLOS Digit Health"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2196\/55627","article-title":"Evaluating ChatGPT-4\u2019s diagnostic accuracy: impact of visual data integration","volume":"12","author":"Hirosawa T","year":"2024","unstructured":"Hirosawa T, Harada Y, Tokumasu K, Ito T, Suzuki T, Shimizu T. Evaluating ChatGPT-4\u2019s diagnostic accuracy: impact of visual data integration. JMIR Med Inform. 2024, 12:e55627. 10.2196\/55627","journal-title":"JMIR Med Inform"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.55945","article-title":"Evaluating ChatGPT\u2019s capabilities on orthopedic training examinations: an analysis of new image processing features","volume":"16","author":"Posner KM","year":"2024","unstructured":"Posner KM, Bakus C, Basralian G, Chester G, Zeiman M, O'Malley GR, Klein GR. Evaluating ChatGPT\u2019s capabilities on orthopedic training examinations: an analysis of new image processing features. Cureus. 2024, 16:e55945. 10.7759\/cureus.55945","journal-title":"Cureus"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1097\/BOT.0000000000001063","article-title":"Fracture and dislocation classification compendium-2018","volume":"32 Suppl 1","author":"Meinberg EG","year":"2018","unstructured":"Meinberg EG, Agel J, Roberts CS, Karam MD, Kellam JF. Fracture and dislocation classification compendium-2018. J Orthop Trauma. 2018, 32 Suppl 1:S1-S170. 10.1097\/BOT.0000000000001063","journal-title":"J Orthop Trauma"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo TK","year":"2016","unstructured":"Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016, 15:155-63. 10.1016\/j.jcm.2016.02.012","journal-title":"J Chiropr Med"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.injury.2020.07.020","article-title":"The new AO classification system for intertrochanteric fractures allows better agreement than the original AO classification. An inter- and intra-observer agreement evaluation","volume":"52","author":"Klaber I","year":"2021","unstructured":"Klaber I, Besa P, Sandoval F, Lobos D, Zamora T, Schweitzer D, Urrutia J. The new AO classification system for intertrochanteric fractures allows better agreement than the original AO classification. An inter- and intra-observer agreement evaluation. Injury. 2021, 52:102-5. 10.1016\/j.injury.2020.07.020","journal-title":"Injury"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1097\/JS9.0000000000001359","article-title":"Step into the era of large multimodal models: a pilot study on ChatGPT-4V(ision)'s ability to interpret radiological images","volume":"110","author":"Zhu L","year":"2024","unstructured":"Zhu L, Mou W, Lai Y, et al.. Step into the era of large multimodal models: a pilot study on ChatGPT-4V(ision)'s ability to interpret radiological images. Int J Surg. 2024, 110:4096-102. 10.1097\/JS9.0000000000001359","journal-title":"Int J Surg"},{"key":"ref18","unstructured":"OpenAI. (2024). Accessed. March 8, 2024: https:\/\/openai.com."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00402-024-05298-2","article-title":"Diagnostic power of ChatGPT 4 in distal radius fracture detection through wrist radiographs","volume":"144","author":"Mert S","year":"2024","unstructured":"Mert S, Stoerzer P, Brauer J, et al.. Diagnostic power of ChatGPT 4 in distal radius fracture detection through wrist radiographs. Arch Orthop Trauma Surg. 2024, 144:2461-7. 10.1007\/s00402-024-05298-2","journal-title":"Arch Orthop Trauma Surg"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-41512-8","article-title":"Performance of ChatGPT, human radiologists, and context\u2011aware ChatGPT in identifying AO codes from radiology reports","volume":"13","author":"Russe MF","year":"2023","unstructured":"Russe MF, Fink A, Ngo H, Tran H, Bamberg F, Reisert M, Rau A. Performance of ChatGPT, human radiologists, and context\u2011aware ChatGPT in identifying AO codes from radiology reports. Sci Rep. 2023, 13:14215. 10.1038\/s41598-023-41512-8","journal-title":"Sci Rep"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s12891-021-04260-2","article-title":"Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study","volume":"22","author":"Sato Y","year":"2021","unstructured":"Sato Y, Takegami Y, Asamoto T, et al.. Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study. BMC Musculoskelet Disord. 2021, 22:407. 10.1186\/s12891-021-04260-2","journal-title":"BMC Musculoskelet Disord"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00256-018-3016-3","article-title":"Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network","volume":"48","author":"Urakawa T","year":"2019","unstructured":"Urakawa T, Tanaka Y, Goto S, Matsuzawa H, Watanabe K, Endo N. Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network. Skeletal Radiol. 2019, 48:239-44. 10.1007\/s00256-018-3016-3","journal-title":"Skeletal Radiol"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s12891-018-2276-3","article-title":"Epidemiology, treatment and mortality of trochanteric and subtrochanteric hip fractures: data from the Swedish fracture register","volume":"19","author":"Mattisson L","year":"2018","unstructured":"Mattisson L, Bojan A, Enocson A. Epidemiology, treatment and mortality of trochanteric and subtrochanteric hip fractures: data from the Swedish fracture register. BMC Musculoskelet Disord. 2018, 19:369. 10.1186\/s12891-018-2276-3","journal-title":"BMC Musculoskelet Disord"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.48413","article-title":"Inter-observer agreement and reproducibility of pertrochanteric fracture classification using plain radiograph versus computed tomogram images: a study of 523 patients","volume":"15","author":"Noda M","year":"2023","unstructured":"Noda M, Takahara S, Inui A, Osawa S, Matsushita T. Inter-observer agreement and reproducibility of pertrochanteric fracture classification using plain radiograph versus computed tomogram images: a study of 523 patients. Cureus. 2023, 15:e48413. 10.7759\/cureus.48413","journal-title":"Cureus"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-023-00819-6","article-title":"Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers","volume":"6","author":"Gao CA","year":"2023","unstructured":"Gao CA, Howard FM, Markov NS, Dyer EC, Ramesh S, Luo Y, Pearson AT. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med. 2023, 6:75. 10.1038\/s41746-023-00819-6","journal-title":"NPJ Digit Med"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000205","article-title":"ChatGPT passing USMLE shines a spotlight on the flaws of medical education","volume":"2","author":"Mbakwe AB","year":"2023","unstructured":"Mbakwe AB, Lourentzou I, Celi LA, Mechanic OJ, Dagan A. ChatGPT passing USMLE shines a spotlight on the flaws of medical education. PLOS Digit Health. 2023, 2:e0000205. 10.1371\/journal.pdig.0000205","journal-title":"PLOS Digit Health"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/335111-evaluating-chatgpts-performance-in-classifying-pertrochanteric-fractures-based-on-arbeitsgemeinschaft-fr-osteosynthesefragenorthopedic-trauma-association-aoota-standards","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T10:24:28Z","timestamp":1737973468000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/335111-evaluating-chatgpts-performance-in-classifying-pertrochanteric-fractures-based-on-arbeitsgemeinschaft-fr-osteosynthesefragenorthopedic-trauma-association-aoota-standards"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,27]]},"references-count":26,"URL":"https:\/\/doi.org\/10.7759\/cureus.78068","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2025,1,27]]}}}