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The Bone & Joint Journal
Vol. 106-B, Issue 2 | Pages 108 - 110
1 Feb 2024
Haddad FS


The Bone & Joint Journal
Vol. 105-B, Issue 6 | Pages 587 - 589
1 Jun 2023
Kunze KN Jang SJ Fullerton MA Vigdorchik JM Haddad FS

The OpenAI chatbot ChatGPT is an artificial intelligence (AI) application that uses state-of-the-art language processing AI. It can perform a vast number of tasks, from writing poetry and explaining complex quantum mechanics, to translating language and writing research articles with a human-like understanding and legitimacy. Since its initial release to the public in November 2022, ChatGPT has garnered considerable attention due to its ability to mimic the patterns of human language, and it has attracted billion-dollar investments from Microsoft and PricewaterhouseCoopers. The scope of ChatGPT and other large language models appears infinite, but there are several important limitations. This editorial provides an introduction to the basic functionality of ChatGPT and other large language models, their current applications and limitations, and the associated implications for clinical practice and research.

Cite this article: Bone Joint J 2023;105-B(6):587–589.


The Bone & Joint Journal
Vol. 106-B, Issue 7 | Pages 642 - 645
1 Jul 2024
Harris IA Sidhu VS MacDessi SJ Solomon M Haddad FS


The Bone & Joint Journal
Vol. 106-B, Issue 4 | Pages 303 - 306
1 Apr 2024
Staats K Kayani B Haddad FS


The Bone & Joint Journal
Vol. 105-B, Issue 5 | Pages 467 - 470
1 May 2023
McBryde CW Prakash R Haddad FS


The Bone & Joint Journal
Vol. 106-B, Issue 6 | Pages 516 - 521
1 Jun 2024
Al-Hourani K Haddad FS


The Bone & Joint Journal
Vol. 104-B, Issue 2 | Pages 189 - 192
1 Feb 2022
Scott CEH Clement ND Davis ET Haddad FS


The Bone & Joint Journal
Vol. 103-B, Issue 6 | Pages 1005 - 1006
1 Jun 2021
Haddad FS


The Bone & Joint Journal
Vol. 102-B, Issue 11 | Pages 1431 - 1434
1 Nov 2020
Trompeter AJ Furness H Kanakaris NK Costa ML


The Bone & Joint Journal
Vol. 102-B, Issue 6 | Pages 655 - 657
1 Jun 2020
Minhas Z Ganau M Thakar C Reynolds J Rothenfluh D Bojanic S Grannum S Chaudhary BR Pyrovolou N Sikander M Bowden G Patel UJ Nnadi C


The Bone & Joint Journal
Vol. 102-B, Issue 4 | Pages 401 - 402
1 Apr 2020
Chang JS Haddad FS


The Bone & Joint Journal
Vol. 102-B, Issue 1 | Pages 1 - 2
1 Jan 2020
Haddad FS


The Bone & Joint Journal
Vol. 99-B, Issue 1 | Pages 3 - 4
1 Jan 2017
Roberts LC Dowd JO Hlavsova A


The Bone & Joint Journal
Vol. 98-B, Issue 10_Supple_B | Pages 1 - 2
1 Oct 2016
Jackson WFM Berend KR Spruijt S


The Bone & Joint Journal
Vol. 97-B, Issue 7 | Pages 869 - 870
1 Jul 2015
Haddad FS


The Bone & Joint Journal
Vol. 96-B, Issue 8 | Pages 997 - 999
1 Aug 2014
Stahel PF Mauffrey C

We explore the limitations of complete reliance on evidence-based medicine which can be diminished by confounding issues and sampling bias. Other strategies which may be reasonably invoked are discussed.

Cite this article: Bone Joint J 2014; 96-B:997–9.


The Bone & Joint Journal
Vol. 96-B, Issue 7 | Pages 853 - 854
1 Jul 2014
Parsons N Griffin XL Stengel D Carey Smith R Perry DC Costa ML

The Bone & Joint Journal provides the latest evidence to guide the clinical practice of orthopaedic surgeons. The benefits of one intervention compared with another are presented using outcome measures; some may be specific to a limb or joint and some are more general health-related quality of life measures. Readers will be familiar with many of these outcome measures and will be able to judge the relative benefits of different interventions when measured using the same outcome tool; for example, different treatments for pain in the knee measured using a particular knee score. But, how should readers compare outcomes between different clinical areas using different outcome measures? This article explores the use of standardised effect sizes.

Cite this article: Bone Joint J 2014;96-B:853–4.