Observational studyTranslational vision science & technology2025
Face and Available Chair Detection and Localization With a Second-Generation (44-Channel) Suprachoroidal Retinal Prosthesis.
Observational study in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05158049 (Longitudinal Observation and Assessment of the Suprachoroidal Retinal Prostheses), which is not on this map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Longitudinal Observation and Assessment of the Suprachoroidal Retinal Prostheses
Who cites it
1 citing paper in PubMed.
- Review of brain-computer interface technology in ophthalmology: Current status, challenges and future directions.Advances in ophthalmology practice and researchReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To compare accuracy of the comprehensive vision processing (VP) algorithm (Lanczos2 [L2]) with the novel VP algorithms, face detection (FaD) and available chair detection (ChD) methods in recipients of the second-generation suprachoroidal retinal prosthesis. Methods: Four suprachoroidal retinal prosthesis recipients (#NCT05158049) were acclimatized to new VP methods (FaD and ChD) with L2 used as control. For face localization, one or two mannequins (white/black) were forward or backward facing in three positions in a room with a white backdrop. Participants were asked to detect the number of mannequins and faces present and point to the forward-facing mannequin. For available chair localization, two mannequins (white/black) were seated in two of three chairs (white/black). Participants were asked to detect and navigate to the available chair. Results: FaD performed significantly better than L2 for correct face detection (FaD) (81.25 ± 10.21%; L2 32.81 ± 5.98%; P = 0.029) and for face localization (FaD, 81.25 ± 10.21%; L2, 26.56 ± 10.67%; P = 0.029). The accuracy of mannequin detection was equivalent between FaD (47.22 ± 5.56%) and L2 (52.78 ± 13.98%) with one mannequin (P = 0.457), and with two mannequins present (FaD, 21.43 ± 18.44%; L2. 3.57 ± 7.14%; P = 0.257). The ChD VP method (88.89 ± 12.00% correct) performed significantly better than L2 (19.44 ± 13.22%) for localizing available chairs (P = 0.029). Conclusions: FaD and ChD VP methods performed better than L2 for the purpose of localizing faces and available chairs, respectively. Translational Relevance: New VP algorithms can improve the localization of specific object types while using the second-generation suprachoroidal retinal prosthesis.
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Registered trials
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