{"id":23865,"date":"2022-12-02T22:34:00","date_gmt":"2022-12-02T14:34:00","guid":{"rendered":"https:\/\/flcube.com\/?p=23865"},"modified":"2025-01-29T22:36:15","modified_gmt":"2025-01-29T14:36:15","slug":"ai-model-for-early-alzheimers-detection-using-retinal-photographs-published","status":"publish","type":"post","link":"https:\/\/flcube.com\/?p=23865","title":{"rendered":"AI Model for Early Alzheimer\u2019s Detection Using Retinal Photographs Published"},"content":{"rendered":"\n

A joint Singapore-UK-Hong Kong research team has published details of an AI-based deep learning model that will help the early detection of Alzheimer\u2019s disease using retinal photographs. The team trained a model by enrolling 648 people with Alzheimer\u2019s and 3,240 without, taking over 12,000 retinal photographs. The model achieved an accuracy of 83.6%, 93.2% sensitivity, 82.0% specificity, and an area under the receiver-operating-characteristic curve of 0.93 (perfect score being 1).<\/p>\n\n\n\n

Model Performance and Applications<\/strong>
In conclusion, the researchers determined that they had achieved proof of concept in relation to their model, which they note is the first deep learning model to detect Alzheimer’s disease from retinal photographs alone. They hope that the technology will help to address current issues of under-diagnosis surrounding Alzheimer’s disease, which is currently screened for using a complex series of cognitive tests, clinical assessments, and supportive evidence from neuroimaging (e.g., PET), and cerebrospinal fluid biomarker evidence.<\/p>\n\n\n\n

Notably, the deep learning model was able to differentiate between those who were amyloid \u03b2 positive from those who were amyloid \u03b2 negative, performed well in patients with other eye diseases such as age-related macular degeneration, and could also be used based on retinal photographs from just one eye, which is necessary in patients with glaucoma, for example. The expectation is that the technology could be applied during screening in optometry and ophthalmology settings and primary healthcare facilities to improve rates of Alzheimer\u2019s diagnosis.<\/p>\n\n\n\n

Research Team and Publication<\/strong>
Researchers hailed from the Chinese University of Hong Kong, Raffles Neuroscience Centre in Singapore, Singapore\u2019s National University Health System, the Royal Victoria Hospital, and the Queen’s University Belfast, UK, among others. The findings were published in The Lancet Digital Health in a report titled \u201cA deep learning model for detection of Alzheimer’s disease based on retinal photographs: a retrospective, multicentre case-control study.\u201d-Fineline Info & Tech<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

A joint Singapore-UK-Hong Kong research team has published details of an AI-based deep learning model…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAownpewDA:productID":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[93,6],"tags":[99],"class_list":["post-23865","post","type-post","status-publish","format-standard","hentry","category-digital","category-rd","tag-ai"],"yoast_head":"\nAI Model for Early Alzheimer\u2019s Detection Using Retinal Photographs Published - Insight, China's Pharmaceutical Industry<\/title>\n<meta name=\"description\" content=\"A joint Singapore-UK-Hong Kong research team has published details of an AI-based deep learning model that will help the early detection of Alzheimer\u2019s disease using retinal photographs. 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