{"id":226740,"date":"2026-06-05T00:00:00","date_gmt":"2026-06-05T04:00:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/05\/smartphone-app-screens-for-rare-ocular-surface-malignancies\/"},"modified":"2026-06-05T11:01:56","modified_gmt":"2026-06-05T15:01:56","slug":"smartphone-app-screens-for-rare-ocular-surface-malignancies","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/05\/smartphone-app-screens-for-rare-ocular-surface-malignancies\/","title":{"rendered":"Smartphone App Screens for Rare Ocular Surface Malignancies"},"content":{"rendered":"<p><a href=\"https:\/\/www.optometryadvisor.com\/news\/smartphone-app-artificial-intelligence-ocular-surface-malignancies\/\">Smartphone App Screens for Rare Ocular Surface Malignancies<\/a><\/p>\n<p><a href=\"https:\/\/www.optometryadvisor.com\/news\/smartphone-app-artificial-intelligence-ocular-surface-malignancies\/\">https:\/\/www.optometryadvisor.com\/news\/smartphone-app-artificial-intelligence-ocular-surface-malignancies\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-06-05 00:00:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.optometryadvisor.com\">www.optometryadvisor.com<\/a><\/p>\n<ul>\n<li>\n<p><strong>Development and Validation of CaptureTumor App<\/strong>: A smartphone-based AI tool known as the CaptureTumor app was developed to screen for rare ocular surface malignancies. The app uses a deep learning model trained on over a decade of slit-lamp images to identify and differentiate between benign and malignant lesions.<\/p>\n<\/li>\n<li>\n<p><strong>Efficient Case Detection<\/strong>: The app was found to be up to 5 times more efficient than conventional referral pathways. It projected an increase in case detection from 8 to 40 per center per year, making the screening process more accessible.<\/p>\n<\/li>\n<li>\n<p><strong>Wide Participation and Usability<\/strong>: Through various platforms, 256,053 individuals were educated about ocular lesions, and eventually, 614 participants (out of which 805 images were analyzed) used the app for self-screening, demonstrating high engagement and accessibility.<\/p>\n<\/li>\n<li>\n<p><strong>Comparable Accuracy to Specialist Exams<\/strong>: Although the AI model had an area under the curve (AUC) of 0.905 compared to the expert slit-lamp model&#8217;s 0.945, the app showed high sensitivity and specificity (89.3% and 95.9%, respectively) in diagnosing ocular surface malignancies.<\/p>\n<\/li>\n<li>\n<p><strong>Reduced Specialist Referrals<\/strong>: Users of the app needed significantly fewer referrals (1.02 vs 3.69) to see a specialist, showcasing operational efficiency and reducing healthcare load.<\/p>\n<\/li>\n<li>\n<p><strong>High Diagnostic Efficiency and Economic Viability<\/strong>: With over 200,000 individuals diagnosed with 20 malignant cases within 6 months, the tool provides a cost-effective and efficient screening method for rare ocular conditions.<\/p>\n<\/li>\n<li>\n<p><strong>Cross-Population Generalizability<\/strong>: While the trial was mostly conducted in China, it included a diverse group of patients suggesting potential effectiveness across different populations.<\/p>\n<\/li>\n<li>\n<p><strong>Successful Implementation and Minimal Complications<\/strong>: The app ensured high usability, with nearly all users correctly following instructions. It successfully diagnosed malignant cases without requiring enucleations or orbital exenterations, demonstrating safe and correct diagnosis.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Smartphone App Screens for Rare Ocular Surface Malignancies https:\/\/www.optometryadvisor.com\/news\/smartphone-app-artificial-intelligence-ocular-surface-malignancies\/ Publish Date: 2026-06-05 00:00:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":226741,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.optometryadvisor.com\/wp-content\/uploads\/sites\/26\/2024\/12\/1200x675-1.png-opto-logo-for-News.png","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-226740","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/226740"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=226740"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/226740\/revisions"}],"predecessor-version":[{"id":226742,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/226740\/revisions\/226742"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/226741"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=226740"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=226740"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=226740"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}