An 8-year-old male patient was presented with a chief complaint of visual perception of a spherical object located in the visual field of his right eye. According to the patient's prior medical records, they exhibited a sole incident of minor visual impairment in the right eye, characterized by blurred vision (best-corrected visual acuity: 8/10), which first manifested during preschool assessments at the age of 5 years. During the fundoscopic examination of the patient, a pigmented, lobulated, and mobile vitreous cyst was observed in the right eye, whereas the examination of the patient's left eye revealed no abnormalities. A video of a smartphone slit-lamp imaging was also captured to facilitate subsequent examinations and patient follow-up.
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http://dx.doi.org/10.1177/2050313X241241419 | DOI Listing |
NPJ Digit Med
January 2025
Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. IOMIDS included a text model and three multimodal models (text + slit-lamp, text + smartphone, text + slit-lamp + smartphone).
View Article and Find Full Text PDFSci Rep
January 2025
Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Corneal ulcer is one of the most important ophthalmic emergencies. A portable, recordable, and smartphone-attachable slit-lamp device called the "Smart Eye Camera" (SEC) is introduced to compare evaluating corneal ulcers between the SEC and the conventional slit-lamp. A total of 110 participants were included in the study, consisting of 55 patients with corneal ulcers and 55 age- and gender-matched healthy volunteers as controls.
View Article and Find Full Text PDFCureus
November 2024
Optometry Department, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, VNM.
Purpose The purpose of this study was to compare the accuracy and agreement in nuclear cataract opacity classification between the Smart Eye Camera (SEC) device, and the slit-lamp. Methods A cross-sectional study was conducted with a convenient sampling of 221 eyes from 139 patients with phakic eyes, visiting IVISION Eye Center, Ho Chi Minh City, Vietnam, from November 1, 2023, to April 30, 2024. Two grading systems, Lucio-Buratto (Buratto) and World Health Organization (WHO), were used to compare the effectiveness of the two devices, with statistical analysis using Spearman's correlation coefficient and Cohen's kappa to evaluate the agreement level.
View Article and Find Full Text PDFCureus
October 2024
Ophthalmology, All India Institute of Medical Sciences, Bibinagar, Bibinagar, IND.
Background Approximately 10 million people in India suffer from bilateral blindness, with cataracts accounting for roughly 70% of these cases. However, there is a severe scarcity of ophthalmologists in India (12,000 across the country), which makes routine cataract screening very difficult, particularly in rural areas. To tackle this problem, we investigated the use of an artificial intelligence (AI)-based application for cataract screening at All India Institute of Medical Sciences (AIIMS), Bibinagar, that can be used by nursing officers and other healthcare professionals as a primary screening tool.
View Article and Find Full Text PDFBioengineering (Basel)
October 2024
Department of Biostatistics, Keio University School of Medicine, Tokyo 160-8582, Japan.
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