JTO - December 2024
Volume 12 Issue 4
From the Executive Editor
As I take up the reins as Executive Editor, I am reminded of what Benjamin Franklin once said, “Either write something worth reading or do something worth writing.” In many ways, JTO embodies that quote and is helping disseminate important news stories, interesting articles, and key opinion pieces to a wide readership. I would like to start my work in this role by thanking Deborah Eastwood for her stewardship and the editorial team for ensuring the growing popularity of JTO.
This issue does not disappoint. There is something in it for everyone in the T&O community. Did you know that the risk of noise induced hearing loss is nearly 50% in senior T&O surgeons? I wonder how many of us speak louder as we get older! Jerry Sam and Hiro Tanaka present the occupational hazard of noise induced hearing loss affecting orthopaedic surgeons and suggest measures we can take to mitigate that risk (p24). Lucky Jayaseelan and Cronan Kerin provide an update on the current selection process to T&O ST3 posts (p20). Ashley Scrimshire and colleagues propose a hub-and-spoke regional network model to cope with the growing problem of metastatic bone disease (p32). Ali Ridha and Aditya Vijay highlight areas where the all-pervasive AI and Computer Vision have found their place in T&O (p36). Richard Power explains how the fulfilling work by orthopaedic surgeons in Leicester helped the Gondar University Hospital in Ethiopia set up their own trauma theatre and training programme (p48).
Theatres are said to be three- to six-times more carbon intense than the hospital as a whole, which has brought into sharp focus the need for sustainable surgical practices. Patient experience should of course be central in implementing safe and sustainable service improvements. Ashita Paul and her co-authors present their experience in using WALANT in hand surgery, which has now become more established in some centres post-COVID (p28). This is a good example of improved patient experience by avoiding general anaesthesia and a tourniquet, alongside surgical sustainability and benefits to the health economy. Scaling up such initiatives should bring wider benefits. Oliver Townsend and Karen Chui share their thoughts on how trainees can get involved at various levels in driving sustainable practices in surgery (p44).
The subspecialty section is shoulder and elbow with Deborah Higgs as guest editor (p52-62). A major growth in shoulder replacement volumes is anticipated over the next decade. Features in this section include innovation and use of technology in shoulder arthroplasty, initiatives to centralise the provision of low volume procedures, and the use of large language models to aid clinical practice. In addition to our upper limb subspecialty section, Jaime Candal-Couto et al. provide highlights of shoulder data analyses from the NJR. In particular, the link between surgeon volumes and outcomes in shoulder arthroplasty provides food for thought (p40).
I hope you enjoy reading this issue. I would like to take this opportunity to extend my very best wishes to you all for the festive season and the New Year.
Amar Rangan, Vice-President elect
Subspecialty Section
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The future of shoulder and elbow surgery
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Centralisation of low-volume high complexity orthopaedic surgery: Hub and spoke models in the NHS
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Large language models in upper limb surgery
- A tipping point for technology in shoulder surgery
References
Seeing the future digitally: Computer vision in trauma and orthopaedics
- Lopez CD, Gazgalis A, Boddapati V, Shah RP, Cooper HJ, Geller JA. Artificial Learning and Machine Learning Decision Guidance Applications in Total Hip and Knee Arthroplasty: A Systematic Review. Arthroplast Today 2021;11:103-12.
- Yin J, Ngiam KY, Teo HH. Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review. J Med Internet Res 2021;23:e25759.
- Coppola A, Asopa V. A practical approach to artificial intelligence in trauma and orthopaedics. Journal of Trauma and Orthopaedics. 2024;12(2):30-2.
- Ozkaya E, Topal FE, Bulut T, Gursoy M, Ozuysal M, Karakaya Z. Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography. Eur J Trauma Emerg Surg 2022;48:585-92.
- Olveres J, González G, Torres F, Moreno-Tagle JC, Carbajal-Degante E, Valencia-Rodríguez A, et al. What is new in computer vision and artificial intelligence in medical image analysis applications. Quant Imaging Med Surg 2021;11:3830-53.
- Huffman N, Pasqualini I, Khan ST, Klika AK, Deren ME, Jin Y, et al. Enabling Personalized Medicine in Orthopaedic Surgery Through Artificial Intelligence: A Critical Analysis Review. JBJS Reviews 2024;12(3):e23.00232.
- Tiwari T, Tiwari T, Tiwari S. How Artificial Intelligence, Machine Learning and Deep Learning are Radically Different? International Journal of Advanced Research in Computer Science and Software Engineering 2018;8:1.
- Saggi SS, Kuah LZD, Toh LCA, Shah MTBM, Wong MK, Bin Abd Razak HR. Optimisation of postoperative X-ray acquisition for orthopaedic patients. BMJ Open Quality 2022;11:e001216.
- Thomas D. How AI and convolutional neural networks can revolutionize orthopaedic surgery. J Clin Orthop Trauma 2023;40:102165.
- Oosterhoff JHF, Doornberg JN. Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner’s hype cycle. EFORT Open Rev. 2020;5(10):593-603.
- Cheikh Youssef S, Hachach-Haram N, Aydin A, Shah TT, Sapre N, Nair R, et al. Video labelling robot-assisted radical prostatectomy and the role of artificial intelligence (AI): training a novice. J Robot Surg 2023;17(2):695-701.
- Udegbe FC, Ebulue OR, Ebulue CC, Ekesiobi CS. THE ROLE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A SYSTEMATIC REVIEW OF APPLICATIONS AND CHALLENGES. International Medical Science Research Journal 2024;4:500-8.
- Lauter, K. (2022). Private AI: Machine Learning on Encrypted Data. In: Chacón Rebollo, T., Donat, R., Higueras, I. (eds) Recent Advances in Industrial and Applied Mathematics. SEMA SIMAI Springer Series, Vol 1. Springer, Cham.
- Olveres J, González G, Torres F, Moreno-Tagle JC, Carbajal-Degante E, Valencia-Rodríguez A, et al. What is new in computer vision and artificial intelligence in medical image analysis applications. Quant Imaging Med Surg. 2021;11(8):3830-53.
- National Institue for Health and Care Excellence. AI technologies recommended for use in detecting fractures. 2024. Available at: www.nice.org.uk/news/articles/ai-technologies-recommended-for-use-in-detecting-fractures.
- Truhn D, Tayebi Arasteh S, Saldanha OL, Müller-Franzes G, Khader F, Quirke P, et al. Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Med Image Anal. 2024;92:103059.
- Moskal JT, Diduch DR. Postoperative radiographs after total knee arthroplasty: a cost-containment strategy. Am J Knee Surg 1998;11(2):89-93.
- Babu VD, Malathi K. Dynamic Deep Learning Algorithm (DDLA) for Processing of Complex and Large Datasets. 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, 2022, pp. 336-342.
How trainees can get involved in sustainability in surgery
- European Union. Global Climate Highlights 2023. Available at: https://climate.copernicus.eu/global-climate-highlights-2023.
- The Intergovernmental Panel on Climate Change (IPCC). Climate Change 2021: The Physical Science Basis. Available at: www.ipcc.ch/report/ar6/wg1.
- World Health Organization (WHO). Climate Change. Available at: www.who.int/news-room/fact-sheets/detail/climate-change-and-health.
- United Nations. Paris Agreement 2015. Available at: https://unfccc.int/sites/default/files/english_paris_agreement.pdf.
- Pichler PP, Jaccard IS, Weisz U, Weisz H. International comparison of health care carbon footprints. Environ Res Lett. 2019;14(6):064004.
- International Energy Agency (IEA). Aviation. Available at: www.iea.org/energy-system/transport/aviation.
- NHS England. Delivering a “Net Zero” National Health Service. 2022. Available at: www.england.nhs.uk/greenernhs/wp-content/uploads/sites/51/2022/07/B1728-delivering-a-net-zero-nhs-july-2022.pdf.
- GOV.UK. Climate Change Act 2008. Available at: www.legislation.gov.uk/ukpga/2008/27/contents.
- Guetter CR, Williams BJ, Slama E, Arrington A, Henry MC, Moller MG, et al. Greening the operating room. Am J Surg. 2018;216(4):683-8.
- Yates EF, Bowder AN, Roa L, Velin L, Goodman AS, Nguyen LL, et al. Empowering surgeons, anaesthesiologists, and obstetricians to incorporate environmental sustainability in the operating room. Ann Surg. 2021;273(6):1108-14.
- Office for National Statistics. Three quarters of adults in Great Britain worry about climate change. 2021. Available at: www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/articles/threequartersofadultsingreatbritainworryaboutclimatechange/2021-11-05.
- The Intercollegiate Surgical Curriculum Programme (ISCP). Trauma & Orthopaedic Surgery Curriculum. 2021. Available at: www.iscp.ac.uk/media/1114/trauma-orthopaedic-surgery-curriculum-aug-2021-approved-oct-20.pdf.
- BOTA x ORUK Sustainability in Orhtopaedic Surgery Virtual Conference 2024. Available at: https://app.medall.org/event-listings/bota-x-oruk-sustainability-in-orthopaedic-surgery-virtual-conference-2024.
- British Orthopaedic Association. COVID-19 BOASTS: Management of patients with urgent orthopaedic conditions and trauma during the coronavirus pandemic [ARCHIVED]. Available at: www.boa.ac.uk/asset/782E0B20-F9CE-4FC9-819F943740161405.
- Royal College of Surgeons of Edinburgh. Intercollegiate Green Surgery Checklist. 2022. Available at: www.rcsed.ac.uk/policy-guidelines/sustainability/environmental-sustainability-and-surgery/green-theatre-checklist.
- Faculty of Medical Leadership and Management. Chief Sustainability Officer’s clinical fellow scheme. Available at: www.fmlm.ac.uk/services-programmes/clinical-fellow-schemes/current-schemes/chief-sustainability-officers-clinical
- The National Joint Registry – Sustainability. Available at: www.njrcentre.org.uk/about-the-njr/sustainability.
- Centre for Sustainable Healthcare. Available at: https://sustainablehealthcare.org.uk.
- British Orthopaedic Trainees Association. BOTA UK – Sustainability. Available at: www.bota.org.uk/sustainability.
- NHS England. Greener NHS – Individuals. Available at: www.england.nhs.uk/greenernhs/get-involved/individuals.
- Cycle Solutions. NHS Cycle to Work Scheme. Available at: www.cyclesolutions.info/nhs-cycle-to-work-scheme.
Centralisation of low-volume high complexity orthopaedic surgery: Hub-and-spoke models in the National Health Service
- Briggs T. A national review of adult elective orthopaedic services in England: Getting It Right First Time (GIRFT). 2015:68. March 2015. Available at: www.boa.ac.uk/static/e66108bd-6a6d-40ca-906dcfe8cdd4d3ec/girft%20national%20review..pdf.
- Elrod JK, Fortenberry JL, Jr. The hub-and-spoke organization design: an avenue for serving patients well. BMC Health Serv Res. 2017;17(Suppl 1):457.
- Brown JS, Gordon RJ, Peng Y, Hatton A, Page RS, Macgroarty KA. Lower operating volume in shoulder arthroplasty is associated with increased revision rates in the early postoperative period: long-term analysis from the Australian Orthopaedic Association National Joint Replacement Registry. J Shoulder Elbow Surg. 2020;29(6):1104-14. doi:10.1016/j.jse.2019.10.026
- Lau RL, Perruccio AV, Gandhi R, Mahomed NN. The role of surgeon volume on patient outcome in total knee arthroplasty: a systematic review of the literature. BMC Musculoskelet Disord. 2012;13:250.
- Shervin N, Rubash HE, Katz JN. Orthopaedic procedure volume and patient outcomes: a systematic literature review. Clin Orthop Relat Res. 2007;457:35-41.
- Chowdhury MM, Dagash H, Pierro A. A systematic review of the impact of volume of surgery and specialization on patient outcome. The British journal of surgery. 2007;94(2):145-61.
- Meyer E, Weitzel-Kage D, Sohr D, Gastmeier P. Impact of department volume on surgical site infections following arthroscopy, knee replacement or hip replacement. BMJ Quality & Safety. 2011;20(12):1069.
- Katz JN, Losina E, Barrett J, et al. Association between hospital and surgeon procedure volume and outcomes of total hip replacement in the United States medicare population. J Bone Joint Surg Am. 2001;83(11):1622-9.
- Katz JN, Barrett J, Mahomed NN, Baron JA, Wright RJ, Losina E. Association between hospital and surgeon procedure volume and the outcomes of total knee replacement. J Bone Joint Surg Am. 2004;86(9):1909-16.
- Marlow NE, Barraclough B, Collier NA, et al. Centralization and the relationship between volume and outcome in knee arthroplasty procedures. ANZ J Surg. 2010;80(4):234-41.
- Bozic KJ, Maselli J, Pekow PS, Lindenauer PK, Vail TP, Auerbach AD. The influence of procedure volumes and standardization of care on quality and efficiency in total joint replacement surgery. J Bone Joint Surg Am. 2010;92(16):2643-52.
- Kugler CM, Goossen K, Rombey T, et al. Hospital volume-outcome relationship in total knee arthroplasty: a systematic review and dose-response meta-analysis. Knee Surg Sports Traumatol Arthrosc. 2022;30(8):2862-77.
- Doro C, Dimick J, Wainess R, Upchurch G, Urquhart A. Hospital volume and inpatient mortality outcomes of total hip arthroplasty in the United States. J Arthroplasty. 2006;21(6 Suppl 2):10-6.
- Basques BA, Bitterman A, Campbell KJ, Haughom BD, Lin J, Lee S. Influence of Surgeon Volume on Inpatient Complications, Cost, and Length of Stay Following Total Ankle Arthroplasty. Foot Ankle Int. 2016;37(10):1046-51.
- Jenkins PJ, Watts AC, Norwood T, Duckworth AD, Rymaszewski LA, McEachan JE. Total elbow replacement: outcome of 1,146 arthroplasties from the Scottish Arthroplasty Project. Acta Orthop. 2013;84(2):119-23.
- Gay DM, Lyman S, Do H, Hotchkiss RN, Marx RG, Daluiski A. Indications and reoperation rates for total elbow arthroplasty: an analysis of trends in New York State. J Bone Joint Surg Am. 2012;94(2):110-7.
- Skyttä ET, Eskelinen A, Paavolainen P, Ikävalko M, Remes V. Total elbow arthroplasty in rheumatoid arthritis: a population-based study from the Finnish Arthroplasty Register. Acta Orthop. 2009;80(4):472-7.
- Valsamis EM, Collins GS, Pinedo-Villanueva R, et al. Association between surgeon volume and patient outcomes after elective shoulder replacement surgery using data from the National Joint Registry and Hospital Episode Statistics for England: population based cohort study. BMJ (Clinical research ed). 2023;381:e075355.
- Weinheimer KT, Smuin DM, Dhawan A. Patient Outcomes as a Function of Shoulder Surgeon Volume: A Systematic Review. Arthroscopy. 2017;33(7):1273-1281.
- Thomson C. The hub and spoke model in hand surgery - where are we now and where should we be? British Society for Surgery of the Hand. 2021. p. 3.
- National Joint Registry. 20th Annual Report - 2023. Accessed 01/08/2024. Available at: https://reports.njrcentre.org.uk/Portals/0/PDFdownloads/NJR%2020th%20Annual%20Report%202023.pdf.
- BOA/BASK/BHS communication about changes to knee revision surgery in England. 18th December 2019. Available at: www.boa.ac.uk/static/37b11dc1-9921-4369-a9d91b45ed751592/boa-bhs-bask-letter-re-clinical-model-final.pdf.
- GIRFT, Society BOFaA. End Stage Ankle Arthritis Treatment Pathway: Good clinical and operational practice guidance. Post-COVID Transformation & Recovery programme. 2020. Available at: www.bofas.org.uk/Portals/0/Position%20Statements/GIRFT%20Final%202020.pdf?ver=xjeqqoaXN24ekwGYXh8RkQ%3D%3D.
- Hay S, Kulkarni R, Watts A, et al. The Provision of Primary and Revision Elbow Replacement Surgery in the NHS. Shoulder Elbow. 2018;10(2 Suppl):S5-S12.
- Metcalfe D, Perry DC, Bouamra O, et al. Regionalisation of trauma care in England. Bone Joint J. 2016;98-b(9):1253-61.
- Metcalfe D, Bouamra O, Parsons NR, Aletrari MO, Lecky FE, Costa ML. Effect of regional trauma centralization on volume, injury severity and outcomes of injured patients admitted to trauma centres. The British journal of surgery. 2014;101(8):959-64.
- Hong AM, Sundaram A, Perianayagam G, et al. Surgery at specialised sarcoma centres improves patient outcomes – A systematic review by the Australia and New Zealand sarcoma association clinical practice guidelines working party. Eur J Surg Oncol. 2023;49(9):106951.
- Napolitano A, Thway K, Huang P, Jones RL. Centralisation of care improves overall survival for sarcoma patients. Annals of Oncology. 2024;35(4):338-9.
- Kalaiselvan R, Malik AK, Rao R, et al. Impact of centralization of services on outcomes in a rare tumour: Retroperitoneal sarcomas. Eur J Surg Oncol. 2019;45(2):249-53.
- Hussain SA, Russell A, Cavanagh SE, Bridgens A, Gelfer Y. A 'Hub and Spoke' Shared Care initiative for CTEV Ponseti service. Bone Jt Open. 2023;4(11):865-872.
- Mudiganty S, Hughes L, Choudry Q, Bokhari A. Managing periprosthetic fractures - a review of the hub and spoke model. SICOT J. 2022;8:2.
- Zhang L, Ogungbemi A, Trippier S, et al. Hub-and-spoke model for thrombectomy service in UK NHS practice. Clin Med (Lond). 2021;21(1):e26-e31.
- Hunter J. Paediatric Trauma and Orthopaedic Surgery: GIRFT Programme National Specialty Report 2022. Available at: https://gettingitrightfirsttime.co.uk/wp-content/uploads/2022/09/Paed-TO-4-4-22i.pdf.
- Hickey S, Rodgers J, Wollstein R. Barriers to Adherence with Post-Operative Hand Therapy Following Surgery for Fracture of the Distal Radius. J Hand Microsurg. 2015;7(1):55-60.
Large language models in upper limb surgery: A narrative review
- ChatGPT. OpenAI [Internet]. [cited 2024 Sep 24]. Available from: https://openai.com/chatgpt/
- Hu K. ChatGPT sets record for fastest-growing user base - analyst note. Reuters [Internet]. 2023 Feb 2 [cited 2024 Sep 24]; Available from: www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/.
- What Are Large Language Models (LLMs)? | IBM [Internet]. 2023 [cited 2024 Aug 22]. Available from: www.ibm.com/topics/large-language-models.
- Moor M, Banerjee O, Abad ZSH, Krumholz HM, Leskovec J, Topol EJ, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616(7956):259–65.
- Moor M, Banerjee O, Abad ZSH, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616:259-65.
- What is Generative AI? | IBM [Internet]. [cited 2024 Sep 15]. Available from: https://www.ibm.com/topics/generative-ai
- ChatGPT parent OpenAI seeks $86bn valuation [Internet]. [cited 2024 Sep 24]. Available from: www.ft.com/content/e4ab95c9-5b45-4996-a69e-46075d6428e5.
- LLMs in action: How to use them for real-world applications [Internet]. [cited 2024 Sep 24]. Available from: www.pluralsight.com/resources/blog/ai-and-data/llms-real-world-applications.
- Lam K, Abràmoff MD, Balibrea JM, Bishop SM, Brady RR, Callcut RA, et al. A Delphi consensus statement for digital surgery. Npj Digit Med. 2022;5(1):100.
- Singhal K, Azizi S, Tu T, Mahdavi SS, Wei J, Chung HW, et al. Large language models encode clinical knowledge. Nature. 2023 Aug 3;620(7972):172-80.
- Kung TH, Cheatham M, Medenilla A, Sillos C, De Leon L, Elepaño C, et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. Dagan A, editor. PLOS Digit Health. 2023;2(2):e0000198.
- Yiu A, Lam K. Performance of large language models at the MRCS Part A: a tool for medical education? Ann R Coll Surg Engl. 2023 Dec 1;rcsann.2023.0085.
- Med-PaLM: A Medical Large Language Model - Google Research [Internet]. [cited 2024 Sep 24]. Med-PaLM: A Medical Large Language Model - Google Research. Available from: https://sites.research.google/med-palm/.
- Stanford CRFM Introduces PubMedGPT 2.7B [Internet]. [cited 2024 Sep 24]. Available from: https://hai.stanford.edu/news/stanford-crfm-introduces-pubmedgpt-27b.
- Pressman SM, Borna S, Gomez-Cabello CA, Haider SA, Forte AJ. AI in Hand Surgery: Assessing Large Language Models in the Classification and Management of Hand Injuries. J Clin Med. 2024;13(10):2832.
- Daher M, Koa J, Boufadel P, Singh J, Fares MY, Abboud JA. Breaking barriers: can ChatGPT compete with a shoulder and elbow specialist in diagnosis and management? JSES Int. 2023;7(6):2534-41.
- Seth I, Xie Y, Rodwell A, Gracias D, Bulloch G, Hunter-Smith DJ, et al. Exploring the Role of a Large Language Model on Carpal Tunnel Syndrome Management: An Observation Study of ChatGPT. J Hand Surg. 2023;48(10):1025-33.
- Thirunavukarasu AJ, Ting DSJ, Elangovan K, Gutierrez L, Tan TF, Ting DSW. Large language models in medicine. Nat Med. 2023;29(8):1930-40.
- Lee S, Lee J, Park J, Park J, Kim D, Lee J, et al. Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage. Am J Emerg Med. 2024;77:29-38.
- Williams CYK, Zack T, Miao BY, Sushil M, Wang M, Kornblith AE, et al. Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department. JAMA Netw Open. 2024;7(5):e248895.
- Hill BG, Krogue JD, Jevsevar DS, Schilling PL. Deep Learning and Imaging for the Orthopaedic Surgeon: How Machines “Read” Radiographs. J Bone Jt Surg. 2022 Sep;104(18):1675-86.
- Dehdab R, Brendlin A, Werner S, Almansour H, Gassenmaier S, Brendel JM, et al. Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment. Jpn J Radiol. 2024;42(10):1168-77.
- McNally S, Huber J. Developing a ‘Doctors’ Assistant’ role to ease pressure on doctors and improve patient flow in acute NHS hospitals. BMJ Lead. 2021;5(1):62-4.
- Patel SB, Lam K. ChatGPT: the future of discharge summaries? Lancet Digit Health. 2023;5(3):e107-8.
- Tang L, Sun Z, Idnay B, Nestor JG, Soroush A, Elias PA, et al. Evaluating large language models on medical evidence summarization. Npj Digit Med. 2023;6(1):158.
- Boscardin CK, Gin B, Golde PB, Hauer KE. ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity. Acad Med. 2024;99(1):22-7.
- Isleem UN, Zaidat B, Ren R, Geng EA, Burapachaisri A, Tang JE, et al. Can generative artificial intelligence pass the orthopaedic board examination? J Orthop. 2024;53:27-33.
- Lum ZC, Collins DP, Dennison S, Guntupalli L, Choudhary S, Saiz AM, et al. Generative Artificial Intelligence Performs at a Second-Year Orthopedic Resident Level. Cureus [Internet]. 2024 Mar 13 [cited 2024 Aug 25]; Available from: www.cureus.com/articles/229863-generative-artificial-intelligence-performs-at-a-second-year-orthopedic-resident-level.
- Ozdag Y, Hayes DS, Makar GS, Manzar S, Foster BK, Shultz MJ, et al. Comparison of Artificial Intelligence to Resident Performance on Upper-Extremity Orthopaedic In-Training Examination Questions. J Hand Surg Glob Online. 2024;6(2):164-8.
- Bisi T, Risser A, Clavert P, Migaud H, Dartus J. What is the rate of text generated by artificial intelligence over a year of publication in Orthopedics & Traumatology: Surgery & Research? Analysis of 425 articles before versus after the launch of ChatGPT in November 2022. Orthop Traumatol Surg Res. 2023;109(8):103694.
- Kim JK, Chua M, Rickard M, Lorenzo A. ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine. J Pediatr Urol. 2023;19(5):598-604.
- Hwang T, Aggarwal N, Khan PZ, Roberts T, Mahmood A, Griffiths MM, et al. Can ChatGPT assist authors with abstract writing in medical journals? Evaluating the quality of scientific abstracts generated by ChatGPT and original abstracts. Mizuno T, editor. PLOS ONE. 2024;19(2):e0297701.
- Ganjavi C, Eppler MB, Pekcan A, Biedermann B, Abreu A, Collins GS, et al. Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis. BMJ. 2024;e077192.
- Ahn S. The transformative impact of large language models on medical writing and publishing: current applications, challenges and future directions. Korean J Physiol Pharmacol. 2024;28(5):393-401.
- Stadler RD, Sudah SY, Moverman MA, Denard PJ, Duralde XA, Garrigues GE, et al. Identification of ChatGPT-Generated Abstracts Within Shoulder and Elbow Surgery Poses a Challenge for Reviewers. Arthrosc J Arthrosc Relat Surg. 2024 Jul;S074980632400495X.
- Topol, Eric. The Topol Review: Preparing the healthcare workforce to deliver the digital future. 2019 p. 53.
- Babylon Disrupted the UK’s Health System. Then It Left | WIRED [Internet]. [cited 2024 Sep 24]. Available from: www.wired.com/story/babylon-disrupted-uk-health-system-then-left.
- 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(5):e5822.
- Johns WL, Kellish A, Farronato D, Ciccotti MG, Hammoud S. ChatGPT Can Offer Satisfactory Responses to Common Patient Questions Regarding Elbow Ulnar Collateral Ligament Reconstruction. Arthrosc Sports Med Rehabil. 2024;6(2):100893.
- Tharakan S, Klein B, Bartlett L, Atlas A, Parada SA, Cohn RM. Do ChatGPT and Google differ in answers to commonly asked patient questions regarding total shoulder and total elbow arthroplasty? J Shoulder Elbow Surg. 2024;33(8):e429-37.
- Warren E, Hurley ET, Park CN, Crook BS, Lorentz S, Levin JM, et al. Evaluation of information from artificial intelligence on rotator cuff repair surgery. JSES Int. 2024;8(1):53-7.
- EU AI Act: first regulation on artificial intelligence | Topics | European Parliament [Internet]. [cited 2024 Sep 24]. Available from: www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence.
- AI regulation: a pro-innovation approach - GOV.UK [Internet]. [cited 2024 Sep 24]. Available from: www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach.
- Bengio Y. International Scientific Report on the Safety of Advanced AI - Interim Report.
- Meskó B, Topol EJ. The imperative for regulatory oversight of large language models (or generative AI) in healthcare. Npj Digit Med. 2023;6(1):120.
- Lam K, Purkayastha S, Kinross JM. The Ethical Digital Surgeon. J Med Internet Res. 2021;23(7):e25849.
- Lin Z, Guan S, Zhang W, Zhang H, Li Y, Zhang H. Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models. Artif Intell Rev. 2024;57(9):243.
- What Is Reinforcement Learning From Human Feedback (RLHF)? | IBM [Internet]. [cited 2024 Sep 24]. Available from: www.ibm.com/topics/rlhf.
- Amazon Web Services, Inc. [Internet]. [cited 2024 Sep 24]. What is RAG? - Retrieval-Augmented Generation AI Explained - AWS. Available from: https://aws.amazon.com/what-is/retrieval-augmented-generation/.