Browse by author
Lookup NU author(s): Dr George KourounisORCiD, Dr Sam Tingle, Emily Glover, Dr Balaji Mahendran, Emily Thompson, Matta Kuzman, Colin Wilson
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Introduction: Use of mobile devices with high-quality cameras has expanded medical photography. We investigate the impact of different devices and conditions on photograph quality in a surgical setting. Methods: Fourteen surgeons across six centres scored photograph quality of kidneys donated for transplantation. Images were captured using an iPhone, iPad, or DSLR camera on automatic modes under varying lighting conditions. In blinded A/B testing, surgeons selected the image perceived more clinically useful for remote organ quality assessment and rated each on a 5-point Likert scale. Quality was objectively analysed using two computer vision referenceless quality assessment tools (BRISQUE & NIMA). Results: Of 369 photographs, mobile device images were rated higher quality by surgeons (78.4%) compared to DSLR (9.4%, p < 0.001). Multilevel regression using BRISQUE showed higher quality for iPhones (β = −5.86, p < 0.001) and iPads (β = −3.90, p < 0.001) versus DSLR. Room lighting improved quality over direct overhead illumination with theatre lights (β = 17.87, p < 0.001). Inter-rater (Gwet AC = 0.78) and intra-rater (Cohen’s κ = 0.86) agreements were high. Discussion: Smartphones can produce high quality photographs. These findings should reassure clinicians that smartphone devices do not compromise photograph quality and support their use in clinical practice and image analysis research.
Author(s): Kourounis G, Elmahmudi AA, Thomson B, Tingle SJ, Glover EK, Mahendran B, Thompson E, Abbas SH, Al-Leswas D, Brown C, El Zawahry MAMES, Georgiades F, Knight SR, Kuzman M, Owen R, Psaltis E, Hunter J, Ugail H, Wilson C
Publication type: Article
Publication status: Published
Journal: Journal of Visual Communication in Medicine
Year: 2025
Pages: epub ahead of print
Online publication date: 17/02/2025
Acceptance date: 29/01/2025
Date deposited: 24/03/2025
ISSN (print): 1745-3054
ISSN (electronic): 1745-3062
Publisher: Taylor and Francis Ltd.
URL: https://doi.org/10.1080/17453054.2025.2462060
DOI: 10.1080/17453054.2025.2462060
Altmetrics provided by Altmetric
