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The Bone & Joint Journal
Vol. 106-B, Issue 8 | Pages 760 - 763
1 Aug 2024
Mancino F Fontalis A Haddad FS


The Bone & Joint Journal
Vol. 96-B, Issue 10 | Pages 1285 - 1286
1 Oct 2014
Dunbar MJ 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 2 | Pages 108 - 110
1 Feb 2024
Haddad FS


The Bone & Joint Journal
Vol. 106-B, Issue 5 | Pages 420 - 421
1 May 2024
Oussedik S Haddad FS


The Bone & Joint Journal
Vol. 106-B, Issue 2 | Pages 111 - 113
1 Feb 2024
Howard A Thomas GER Perry DC


The Bone & Joint Journal
Vol. 106-B, Issue 3 | Pages 224 - 226
1 Mar 2024
Ferguson D Perry DC


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


Bone & Joint Research
Vol. 11, Issue 1 | Pages 23 - 25
17 Jan 2022
Matar HE Platt SR Bloch BV Board TN Porter ML Cameron HU James PJ


The Bone & Joint Journal
Vol. 104-B, Issue 1 | Pages 3 - 5
1 Jan 2022
Rajasekaran RB Ashford R Stevenson JD Pollock R Rankin KS Patton JT Gupta S Cosker TDA


The Bone & Joint Journal
Vol. 103-B, Issue 11 | Pages 1642 - 1645
1 Nov 2021
Kayani B Giebaly D Haddad FS


Bone & Joint 360
Vol. 10, Issue 4 | Pages 3 - 4
1 Aug 2021
Ollivere B


The Bone & Joint Journal
Vol. 103-B, Issue 6 Supple A | Pages 1 - 2
1 Jun 2021
Springer BD Haddad FS


Bone & Joint Open
Vol. 2, Issue 1 | Pages 1 - 2
1 Jan 2021
Haddad FS


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


The Bone & Joint Journal
Vol. 101-B, Issue 12 | Pages 1469 - 1471
1 Dec 2019
Haddad FS Horriat S


Bone & Joint 360
Vol. 8, Issue 4 | Pages 1 - 3
1 Aug 2019
Buckley R


The Bone & Joint Journal
Vol. 101-B, Issue 3 | Pages 233 - 235
1 Mar 2019
Ollivere BJ Marson BA Haddad FS


Bone & Joint 360
Vol. 7, Issue 6 | Pages 1 - 1
1 Dec 2018
Ollivere B


The Bone & Joint Journal
Vol. 100-B, Issue 5 | Pages 557 - 558
1 May 2018
Haddad FS


The Bone & Joint Journal
Vol. 100-B, Issue 9 | Pages 1133 - 1135
1 Sep 2018
Pairon P Haddad FS


The Bone & Joint Journal
Vol. 100-B, Issue 7 | Pages 829 - 830
1 Jul 2018
Callaghan JJ Haddad FS


Bone & Joint Research
Vol. 6, Issue 12 | Pages 665 - 666
1 Dec 2017
Hamilton DF Giesinger JM Giesinger K


The Bone & Joint Journal
Vol. 100-B, Issue 4 | Pages 413 - 414
1 Apr 2018
Haddad FS


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. 99-B, Issue 2 | Pages 145 - 146
1 Feb 2017
Haddad FS


The Bone & Joint Journal
Vol. 98-B, Issue 12 | Pages 1569 - 1570
1 Dec 2016
Haddad FS


Bone & Joint 360
Vol. 5, Issue 5 | Pages 1 - 1
1 Oct 2016
Ollivere B


The Bone & Joint Journal
Vol. 97-B, Issue 5 | Pages 578 - 581
1 May 2015
Rolfson O Malchau H

The limitations and benefits of patient-reported outcome measures, in defining the merits of arthroplasty surgery, are discussed.

Cite this article: Bone Joint J 2015;97-B:578–81.


The Bone & Joint Journal
Vol. 97-B, Issue 7 | Pages 871 - 874
1 Jul 2015
Breakwell LM Cole AA Birch N Heywood C

The effective capture of outcome measures in the healthcare setting can be traced back to Florence Nightingale’s investigation of the in-patient mortality of soldiers wounded in the Crimean war in the 1850s.

Only relatively recently has the formalised collection of outcomes data into Registries been recognised as valuable in itself.

With the advent of surgeon league tables and a move towards value based health care, individuals are being driven to collect, store and interpret data.

Following the success of the National Joint Registry, the British Association of Spine Surgeons instituted the British Spine Registry. Since its launch in 2012, over 650 users representing the whole surgical team have registered and during this time, more than 27 000 patients have been entered onto the database.

There has been significant publicity regarding the collection of outcome measures after surgery, including patient-reported scores. Over 12 000 forms have been directly entered by patients themselves, with many more entered by the surgical teams.

Questions abound: who should have access to the data produced by the Registry and how should they use it? How should the results be reported and in what forum?

Cite this article: Bone Joint J 2015;97-B:871–4.