| Title: |
Application of real-time artificial intelligence to cataract surgery. |
| Authors: |
Shah, Neil; Wawrzynski, James; Hussain, Rohan; Singh, Bharpoor; Luengo, Imanol; Addis, Carole; Barbarisi, Santiago; Mohammadi, Rahim; Culshaw, Lucy; Johnston, Ellie; Haikka, Pinja; Kerr, Karen; Stoyanov, Danail; Lindegger, Daniel; Saleh, George M. |
| Source: |
British Journal of Ophthalmology; Dec2025, Vol. 109 Issue 12, p1338-1344, 7p |
| Abstract: |
Background/aims Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates its potential uses. First, our study aimed to demonstrate the use of AI in phase recognition and analysis of phacoemulsification. Second, to evaluate the application of real-time AI to live cataract surgery. Methods Phase I: surgical video recordings of adult patients undergoing cataract surgery at Moorfields Eye Hospital were captured. The AI, via Touch Surgery Ecosystem, was developed and used to segment surgery into phases based on the International Council of Ophthalmology-Ophthalmology Surgical Competency Assessment Rubric tool. Phase II: having demonstrated the AI’s functionality in phase I, a further group of phacoemulsification patients was recruited into a live surgery study arm. Three auxiliary screens were deployed in the operating theatres, displaying phase detection and phase relevant information in real time. Results Phase I: 192 videos were analysed between March 2020 and March 2021. Average case duration for consultants (n=68), advanced trainees (n=59) and junior trainees (n=65) was 11.18, 17.54 and 21.36min, respectively. Efficiency benchmarks were determined using the median metric values for advanced trainee and consultant cases, respectively. Phase II: efficiency metrics for 74 cases with screen deployment and 26 without were compared. With realtime AI, consultant surgeons had a significant decrease in case duration. Conclusions We demonstrate the first use of a fully independent AI platform for analysing efficiency metrics in cataract surgery. Real-time AI has the potential to improve operative efficiency and surgical team training. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of British Journal of Ophthalmology is the property of BMJ Publishing Group and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |