Health AI Central
Peer-Reviewed Publication
Br J Ophthalmol2026May 8, 2026Journal Article

OCT-based AI-assisted phenotyping of intermediate AMD in the prospective PINNACLE trial: PINNACLE Study Report 9.

Sophie Riedl1, Julia Mai1, Marie Louise Enzendorfer2, Manjula D Nugawela3, Lars Fritsche4, Toby Prevost5, Daniel Rueckert6,7, Martin Menten6,8, Hendrik Scholl9,10, Sobha Sivaprasad11,12, Andrew Lotery13, Hrvoje Bogunovic14, Stefan Sacu15, Ursula Schmidt-Erfurth2
1Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
2Laboratory for Ophthalmic Image Analysis, Medical University of Vienna, Vienna, Austria.
3University College London, London, UK.
4University of Michigan, Ann Arbor, Michigan, USA.
5King's College London, London, UK.
6Department of Computing, Imperial College London, London, UK.
7Faculty of Medicine and Informatics, Technical University of Munich, Munchen, Germany.
8Technical University of Munich, Munich, Germany.
9Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
10Pallas Kliniken AG, Olten, Switzerland.
11UCL Institute of Ophthalmology, UCL, London, UK.
12Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
13Faculty of Medicine, University of Southampton, Southampton, UK.
14Institute for Artificial Intelligence, Medical University of Vienna, Vienna, Austria.
15Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria stefan.sacu@meduniwien.ac.at.
PubMed DOI

Abstract

BACKGROUND/AIMS: PINNACLE is one of the largest prospective multicentre observational studies evaluating the progression of intermediate age-related macular degeneration (iAMD). This paper aims to provide an optical coherence tomography (OCT)-based qualitative and quantitative characterisation of the cohort's baseline morphology. METHODS: Based on expert grader readings and artificial intelligenc…

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