Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

Henry David Jeffry Hogg,Dawn Teare,Katie Brittain,James Talks,Gregory Maniatopoulos,Pearse Keane,Konstantinos Balaskas

doi:10.1136/bmjopen-2022-069443

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

Henry David Jeffry Hogg, Dawn Teare + Show 5 more

Open Access

https://doi.org/10.1136/bmjopen-2022-069443

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Journal: BMJ open	Publication Date: Feb 1, 2023
Citations: 3	License type: open-access

Affiliation: Newcastle University, Newcastle upon Tyne Hospitals NHS Foundation Trust, Northumbria University, University College London, Moorfields Eye Hospital NHS Foundation Trust

#Tool For Treatment Decisions #Clinic Visits + Show 8 more

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Abstract

IntroductionNeovascular age-related macular degeneration (nAMD) management is one of the largest single-disease contributors to hospital outpatient appointments. Partial automation of nAMD treatment decisions could reduce demands on clinician time. Established...

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