{"id":1988,"date":"2023-06-22T21:07:27","date_gmt":"2023-06-22T21:07:27","guid":{"rendered":"https:\/\/dailyai.com\/?p=1988"},"modified":"2023-06-22T21:41:39","modified_gmt":"2023-06-22T21:41:39","slug":"innovative-ai-model-detects-retinal-disease-in-infants","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/06\/innovative-ai-model-detects-retinal-disease-in-infants\/","title":{"rendered":"Innovativ AI-modell oppdager netthinnesykdom hos spedbarn"},"content":{"rendered":"

Prematur retinopati (ROP), en alvorlig \u00f8yesykdom som rammer for tidlig f\u00f8dte barn, er en viktig \u00e5rsak til synshemming og blindhet.\u00a0<\/b><\/p>\n

Tidlig behandling kan dempe de verste konsekvensene av ROP, men mangelen p\u00e5 \u00f8yeleger til barn, s\u00e6rlig i lav- og mellominntektsland, er et stort hinder.\u00a0<\/span><\/p>\n

I en studie <\/span>publisert i The Lancet<\/span><\/a>utviklet forskerne en kodefri AI-modell for \u00e5 diagnostisere ROP ut fra netthinnebilder. <\/span><\/p>\n

De mener at modellen vil hjelpe \u00f8yeleger med \u00e5 diagnostisere tilstanden fra hvor som helst i verden, ettersom den kj\u00f8rer p\u00e5 Google Cloud og krever minimal teknisk ekspertise for \u00e5 fungere.<\/span><\/p>\n

Om retinopati ved prematuritet (ROP)<\/span><\/h2>\n

ROP er en unormal vekst av blodkar i netthinnen som vanligvis observeres hos spedbarn f\u00f8dt f\u00f8r 31. svangerskapsuke eller med en kroppsvekt p\u00e5 under 1,5 kilo.\u00a0<\/span><\/p>\n

Mens mild ROP kan forsvinne av seg selv, kan alvorlige tilfeller f\u00f8re til netthinnel\u00f8sning, synshemming og blindhet.<\/span><\/p>\n

Flere netthinnetrekk brukes til \u00e5 diagnostisere ROP, blant annet plus disease, som defineres som unormalt kronglete blod\u00e5rer i netthinnen. \"Tilstedev\u00e6relsen av pluss-sykdom anses \u00e5 v\u00e6re en mark\u00f8r for retinopati som krever behandling\", forklarer forskerne i studien. <\/span>Rutinemessig screening hos barneoftalmologer kan bidra til \u00e5 forebygge utviklingen av ROP.<\/span><\/p>\n

Tidligere studier<\/span> har allerede vist at AI-modeller kan diagnostisere alvorlig ROP basert p\u00e5 analyse av netthinnebilder.\u00a0<\/span>De fleste av disse modellene krever imidlertid teknisk ekspertise og betydelige maskinvareressurser, noe som er mangelvare i enkelte medisinske milj\u00f8er.\u00a0<\/span><\/p>\n

En tilgjengelig, kodefri AI-modell l\u00f8ser disse utfordringene og gir \u00f8yeleger tilgang til banebrytende netthinnediagnostikk fra hvor som helst med en internettforbindelse.<\/p>\n

Rollen til kunstig intelligens<\/span><\/h2>\n

Studien sammenligner en kodefri AI-modell bygget p\u00e5 Google Cloud AutoML Vision Application Programming Interface (API) og en skreddersydd modell bygget fra bunnen av. <\/span><\/p>\n

\"Den kodefrie AI-applikasjonen ble utviklet ved hjelp av bilder fra nyf\u00f8dte med ulik etnisk og sosio\u00f8konomisk bakgrunn ved et sykehus i Storbritannia\", beskriver forskerne.<\/span><\/p>\n

Siden den kj\u00f8rer p\u00e5 Google Cloud AutoML, krever modellen minimal teknisk ekspertise og ingen maskinvare, bortsett fra en Internett-tilkobling - du trenger bare \u00e5 mate netthinnebildene dine inn i den forh\u00e5ndstrenede modellen.<\/span><\/p>\n

Studien viste at den kodefrie Google Cloud AutoML-modellen presterte p\u00e5 samme m\u00e5te som den skreddersydde modellen, med samme n\u00f8yaktighet som erfarne \u00f8yeleger n\u00e5r det gjaldt \u00e5 oppdage pluss-sykdom.<\/span><\/p>\n

En av forfatterne, Dr. Konstantinos Balaskas, f\u00f8rsteamanuensis ved University College London, sa<\/a>\"Gitt at det kan oppdages og behandles, burde ingen barn bli blinde p\u00e5 grunn av prematuritetsretinopati. Vi h\u00e5per at v\u00e5r teknikk for automatisert diagnostikk av prematuritetsretinopati vil forbedre tilgangen til behandling i underbetjente omr\u00e5der og forhindre blindhet hos tusenvis av nyf\u00f8dte verden over.\"<\/span><\/p>\n

Dr. Deepak Bhatt, MPH, direkt\u00f8r for Mount Sinai Heart i New York, roste studien og sa: \"Dette er en smart studie som viser en potensielt sv\u00e6rt nyttig anvendelse av kunstig intelligens. Forfatterne viste at AI-programmet deres gjorde det like bra som erfarne \u00f8yeleger n\u00e5r det gjaldt \u00e5 identifisere en av de viktigste \u00e5rsakene til blindhet hos barn ved \u00e5 unders\u00f8ke netthinnebilder.\"<\/span><\/p>\n

Bhatt understreket AIs potensial i helsevesenet: \"Maskinl\u00e6ring og AI har beveget seg fra science fiction til mulig nytte i klinisk praksis. Denne studien er et godt eksempel p\u00e5 det. Det er behov for flere slike studier i ulike populasjoner.\"<\/span><\/p>\n

Kodefrie skybaserte modeller er tilgjengelige for alle med internettforbindelse. <\/span><\/p>\n

Det stilles ingen krav til maskinvare, og modellen er trent p\u00e5 forh\u00e5nd, s\u00e5 du trenger bare en input (i dette tilfellet netthinnebilder).\u00a0<\/span><\/p>\n

Forskerne innr\u00f8mmer at modellen f\u00f8rst og fremst ble testet ved hjelp av bilder tatt med Retcam, en spesiell type netthinnekamera som ofte er kostbart. <\/span><\/p>\n

Med litt arbeid kan det imidlertid utvides til \u00e5 omfatte andre netthinnebilder, slik at helsepersonell kan f\u00e5 tilgang til toppmoderne netthinnediagnostikk fra hvor som helst i verden. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

Prematuritetsretinopati (ROP), en alvorlig \u00f8yesykdom som rammer for tidlig f\u00f8dte barn, er en viktig \u00e5rsak til synshemming og blindhet. Tidlig behandling kan dempe de verste konsekvensene av ROP, men mangelen p\u00e5 \u00f8yeleger til barn, s\u00e6rlig i lav- og mellominntektsland, er et stort hinder. I en studie publisert i The Lancet har forskere utviklet en kodefri AI-modell for \u00e5 diagnostisere ROP ut fra netthinnebilder. De mener at modellen vil hjelpe \u00f8yeleger med \u00e5 diagnostisere tilstanden fra hvor som helst i verden, ettersom den kj\u00f8rer p\u00e5 Google Cloud og krever minimal teknisk ekspertise for \u00e5 fungere. Om retinopati ved prematuritet (ROP) ROP er en unormal vekst av blodceller i<\/p>","protected":false},"author":2,"featured_media":1989,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,101],"class_list":["post-1988","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-medtech"],"yoast_head":"\nInnovative AI model detects retinal disease in infants | DailyAI<\/title>\n<meta name=\"description\" content=\"Retinopathy of prematurity (ROP), a severe eye condition affecting premature babies, is a leading cause of visual impairment or blindness.\u00a0\" \/>\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\/nb\/2023\/06\/innovative-ai-model-detects-retinal-disease-in-infants\/\" \/>\n<meta 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