{"id":10460,"date":"2024-03-04T10:15:23","date_gmt":"2024-03-04T10:15:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=10460"},"modified":"2024-03-04T10:15:23","modified_gmt":"2024-03-04T10:15:23","slug":"ai-smartphone-app-can-detect-depression-from-facial-cues","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/","title":{"rendered":"AI-smartphone-app kan opdage depression ud fra ansigtssignaler"},"content":{"rendered":"

Forskere fra Dartmouth College har udviklet MoodCapture, en smartphone-app, der bruger AI til at analysere ansigtstr\u00e6k for at kunne opdage depression tidligt.<\/strong><\/p>\n

Det stigma, der er forbundet med mental sundhed<\/a> er en stor grund til, at folk holder modet oppe, selv n\u00e5r de f\u00f8ler sig nedtrykte. Det er ogs\u00e5 derfor, vi g\u00f8r os mere umage med at smile, n\u00e5r vi interagerer med folk eller tager en selfie, som vi vil l\u00e6gge ud p\u00e5 de sociale medier.<\/p>\n

N\u00e5r vi kigger ned for at bruge vores telefon, er vi for det meste ikke klar over, at der er et kamera, der kigger tilbage p\u00e5 os. MoodCapture bruger en smartphones frontvendte kamera til regelm\u00e6ssigt at optage autentiske, ubevogtede ansigtsudtryk, n\u00e5r en bruger l\u00e5ser sin telefon op. Derefter bruger den en AI-algoritme til l\u00f8bende at holde \u00f8je med tidlige tegn p\u00e5 depression.<\/p>\n

Forskerne tr\u00e6nede deres algoritme ved hj\u00e6lp af 125.000 fotos fra 177 deltagere, der var diagnosticeret med alvorlig depressiv lidelse.<\/p>\n

Billederne blev taget over 90 dage, mens deltagerne brugte en app p\u00e5 deres telefoner til at besvare et kort sp\u00f8rgeskema om patientsundhed (PHQ-8) tre gange om dagen.<\/p>\n

N\u00e5r deltageren svarede p\u00e5 sp\u00f8rgsm\u00e5let \"Jeg har f\u00f8lt mig nedtrykt, deprimeret eller h\u00e5bl\u00f8s\", tog appen et billede af personens ansigt. Patienterne gav deres samtykke til at f\u00e5 taget et billede, men vidste ikke pr\u00e6cis, hvorn\u00e5r det skete.<\/p>\n

Ud over ansigtstr\u00e6kkene blev AI-modellen ogs\u00e5 tr\u00e6net p\u00e5 telefonens vinkel, dominerende farve, lysforhold, fotoets placering og baggrundselementer p\u00e5 billederne.<\/p>\n

Ved hj\u00e6lp af maskinl\u00e6ring og deep learning skabte forskerne en model, der l\u00e6rte, hvilke nuancerede ansigtsudtryk og kontekstuelle baggrundselementer der korrelerede med depression.<\/p>\n

\"\"
Den AI-model, der driver MoodCapture, blev tr\u00e6net ved hj\u00e6lp af fotos af brugerens ansigt og baggrundselementer sammen med maskinl\u00e6ring og dyb l\u00e6ring for at bestemme depressionsniveauer. Kilde: arXiv<\/a><\/figcaption><\/figure>\n

Prototypen p\u00e5 MoodCapture-appen kan p\u00e5lideligt registrere en begyndende depression, selv f\u00f8r brugeren ved, at han eller hun er i farezonen.<\/p>\n

Millioner af mennesker lider af depression p\u00e5 verdensplan, og alvorlige tilf\u00e6lde er skyld i 800.000 selvmord hvert \u00e5r. Tidlig opdagelse af depression kan f\u00f8re til, at flere mennesker f\u00e5r adgang til passende og rettidig behandling.<\/p>\n

Appens funktionalitet er imponerende, men forskerne bem\u00e6rker i deres papir<\/a> at apps til overv\u00e5gning af mental sundhed som MoodCapture kommer med en r\u00e6kke kl\u00e6brige etiske problemer.<\/p>\n

Hvis min telefon fornemmede, at jeg var nedtrykt, kunne det v\u00e6re rart, hvis en AI-assistent kunne give mig en peptalk eller anbefale en sundhedsydelse. Jeg ville dog gerne holde den information privat.<\/p>\n

Udsigten til at blive m\u00e5l for hum\u00f8rrelaterede reklamer eller Big Brother-overv\u00e5gning af mental sundhed fra myndighedernes side er ikke s\u00e5 fjern, hvis appens brugerdata blev afsl\u00f8ret. Efterh\u00e5nden som AI p\u00e5 enheden bliver mere opn\u00e5elig, vil disse privatlivsproblemer blive lettere at h\u00e5ndtere.<\/p>\n

Forbedrede kameraer og integreret AI kan snart g\u00f8re det muligt for vores telefoner at vide, om vi har en god dag eller ej, selv om vores venner ikke altid kan se det.<\/p>","protected":false},"excerpt":{"rendered":"

Forskere fra Dartmouth College har udviklet MoodCapture, en smartphone-app, der bruger kunstig intelligens til at analysere ansigtstr\u00e6k for tidlig opsporing af depression. Den stigmatisering, der er forbundet med mental sundhed, er en stor grund til, at folk holder masken, selv n\u00e5r de f\u00f8ler sig nedtrykte. Det er ogs\u00e5 derfor, vi g\u00f8r en st\u00f8rre indsats for at smile, n\u00e5r vi interagerer med mennesker eller tager en selfie, som vi vil l\u00e6gge ud p\u00e5 de sociale medier. N\u00e5r vi kigger ned for at bruge vores telefon, er vi for det meste ikke klar over, at der er et kamera, som kigger tilbage p\u00e5 os. MoodCapture bruger en smartphones frontvendte kamera til regelm\u00e6ssigt at optage<\/p>","protected":false},"author":6,"featured_media":10488,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,166,101],"class_list":["post-10460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-computer-vision","tag-medtech"],"yoast_head":"\nAI smartphone app can detect depression from facial cues | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI smartphone app can detect depression from facial cues | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from Dartmouth College developed MoodCapture, a smartphone app that uses AI to analyze facial features for early detection of depression. 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