{"id":2142,"date":"2023-06-29T19:54:08","date_gmt":"2023-06-29T19:54:08","guid":{"rendered":"https:\/\/dailyai.com\/?p=2142"},"modified":"2023-06-30T21:37:40","modified_gmt":"2023-06-30T21:37:40","slug":"ai-system-outperforms-medical-experts-in-identifying-sperm","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/06\/ai-system-outperforms-medical-experts-in-identifying-sperm\/","title":{"rendered":"AI-system udkonkurrerer medicinske eksperter i at identificere s\u00e6dceller"},"content":{"rendered":"

Forskere ved University of Technology Sydney (UTS) har udviklet et AI-v\u00e6rkt\u00f8j til at identificere s\u00e6dceller hos m\u00e6nd med sv\u00e6r infertilitet hurtigere og mere pr\u00e6cist end l\u00e6ger.<\/strong><\/p>\n

Unders\u00f8gelsen<\/a> blev pr\u00e6senteret p\u00e5 det 39. \u00e5rsm\u00f8de i European Society of Human Reproduction and Embryology (ESHRE). Forskerteamet demonstrerede en kunstig intelligens, der kan hj\u00e6lpe m\u00e6nd med begr\u00e6nset s\u00e6dkvalitet med at f\u00e5 biologiske b\u00f8rn.\u00a0<\/span><\/p>\n

I \u00f8jeblikket skal disse patienter gennemg\u00e5 en procedure, hvor man fjerner en del af deres testikler, hvorfra embryologer manuelt udvinder s\u00e6dceller. Denne s\u00e6d bruges derefter til at befrugte partnerens \u00e6g via ICSI-behandling (Intracytoplasmatisk s\u00e6dcelleinjektion). <\/span><\/p>\n

Den nuv\u00e6rende proces er besv\u00e6rlig og tidskr\u00e6vende, tager ofte op til 6 timer og f\u00f8rer potentielt til tr\u00e6thed, der p\u00e5virker n\u00f8jagtigheden af s\u00e6didentifikationen.<\/span><\/p>\n

Processen har en h\u00f8j fejlrate og skal ofte gentages.\u00a0<\/span><\/p>\n

Unders\u00f8gelsen, som ledes af professor Majid Warkiani fra UTS School of Biomedical Engineering, pr\u00e6senterer et AI-v\u00e6rkt\u00f8j kaldet SpermSearch, som fremskynder denne kr\u00e6vende proces.<\/span><\/p>\n

Hovedforfatter Dale Goss, en ph.d.-kandidat, sagde, at \"dette v\u00e6rkt\u00f8j har evnen til at give patienter, som har en meget lille chance for at blive far til deres egne biologiske b\u00f8rn, en \u00f8get chance.\" <\/span><\/p>\n

Han tilf\u00f8jer: \"Algoritmen forbedrer for\u00e6ldede tilgange, som ikke er blevet opdateret i \u00e5rtier. Den vil sikre en hurtig identifikation af s\u00e6dceller i pr\u00f8ver, hvilket ikke kun vil \u00f8ge chancen for, at et par bliver gravide med deres egne biologiske b\u00f8rn, men ogs\u00e5 reducere stress p\u00e5 s\u00e6dcellerne og \u00f8ge effektiviteten i laboratoriet.\"<\/span><\/p>\n

S\u00e5dan fungerer det<\/h2>\n

Forskerne understregede, at ca. 1% af alle m\u00e6nd og ca. 5% af de par, der s\u00f8ger fertilitetsbehandling, lider af ikke-obstruktiv azoospermi (NOA) - en alvorlig form for infertilitet, der er kendetegnet ved frav\u00e6r af s\u00e6dceller i s\u00e6den.\u00a0<\/span><\/p>\n

Embryologer identificerer i \u00f8jeblikket s\u00e6dceller til ICSI ved m\u00f8jsommeligt at rive v\u00e6vspr\u00f8ver i stykker og adskille dem med en tang eller fine n\u00e5le. Eventuelle s\u00e6dceller frigives derefter i en specielt forberedt v\u00e6ske, placeres i en petrisk\u00e5l og analyseres under et mikroskop. Processen er udfordrende p\u00e5 grund af kontaminering fra andre celler og partikler, og hvis embryologen overser s\u00e6dcellerne, falder succesraten.\u00a0<\/span><\/p>\n

Det AI-drevne SpermSearch-v\u00e6rkt\u00f8j er designet til at fremskynde denne proces. Teamet tr\u00e6nede AI-algoritmen ved hj\u00e6lp af tusindvis af mikroskopbilleder med m\u00e6rkede s\u00e6dceller. AI-v\u00e6rkt\u00f8jet l\u00e6rte at identificere, hvordan s\u00e6dcellerne s\u00e5 ud gennem billedanalyse.\u00a0<\/span><\/p>\n

Holdet brugte b\u00e5de sunde s\u00e6dpr\u00f8ver og testikelv\u00e6vspr\u00f8ver fra syv patienter, der var diagnosticeret med NOA, til at teste.<\/span><\/p>\n

Disse patienter i alderen 36 til 55 \u00e5r havde tidligere gennemg\u00e5et kirurgisk s\u00e6dudtagning p\u00e5 klinikken og doneret restv\u00e6v, der var forberedt til s\u00e6dudtagning, men ikke blev brugt.\u00a0<\/span><\/p>\n

AI-systemet blev derefter sat op mod en embryolog i en tidstest for identifikation af s\u00e6dceller og n\u00f8jagtighed. AI identificerede s\u00e6dceller i hvert omr\u00e5de af dr\u00e5ben, der blev set, p\u00e5 mindre end en tusindedel af den tid, det tog en embryolog. Den fandt 60 flere s\u00e6dceller og var 5% mere n\u00f8jagtig end embryologen pr. synligt dr\u00e5beomr\u00e5de.<\/span><\/p>\n

Forskerne advarede dog om, at deres unders\u00f8gelse er baseret p\u00e5 en proof-of-concept-test, og at et klinisk fors\u00f8g er n\u00f8dvendigt for at sikre teknikkens effektivitet og ydeevne i forbindelse med s\u00e6ddetektion.<\/span><\/p>\n

Carlos Calhaz-Jorge, professor og formand for ESHRE, som ikke var involveret i unders\u00f8gelsen, sagde: \"For m\u00e6nd, der er diagnosticeret med ikke-obstruktiv azoospermi, er ICSI med s\u00e6d fra testiklerne den eneste realistiske chance for at f\u00e5 biologiske b\u00f8rn. Dette er en forel\u00f8big unders\u00f8gelse af brugen af AI til at finde sunde s\u00e6dceller hos m\u00e6nd, der oplever denne type infertilitet. At finde sunde s\u00e6dceller under mikroskopet i fragmenter af testikelbiopsier kan v\u00e6re en besv\u00e6rlig proces. Udsigten til at bruge kunstig intelligens til at g\u00f8re processen hurtigere og mere pr\u00e6cis er meget interessant. Vi er n\u00f8dt til at se mere forskning for at bygge videre p\u00e5 disse resultater.\"<\/p>\n

AI's rolle inden for medicin er veletableret, men de sidste to m\u00e5neder har budt p\u00e5 en lang r\u00e6kke meget lovende studier.<\/p>\n

For eksempel er AI forbedring af MR-billeder<\/a>, hj\u00e6lper tandl\u00e6ger udvikle tandkroner<\/a>, Opsporing af nethindesygdom hos sp\u00e6db\u00f8rn<\/a>, Opsporing af hjertesygdomme ud fra EKG'er<\/a>og Hurtigere opdagelse af l\u00e6gemidler<\/a>.<\/p>\n

Selv om alle disse applikationer skal igennem omfattende kliniske fors\u00f8g, vil AI helt sikkert f\u00e5 en central rolle i fremtidens medicin.<\/p>","protected":false},"excerpt":{"rendered":"

Forskere ved University of Technology Sydney (UTS) har udviklet et AI-v\u00e6rkt\u00f8j til at identificere s\u00e6dceller hos m\u00e6nd med sv\u00e6r infertilitet hurtigere og mere pr\u00e6cist end l\u00e6ger. Unders\u00f8gelsen blev pr\u00e6senteret p\u00e5 det 39. \u00e5rsm\u00f8de i European Society of Human Reproduction and Embryology (ESHRE). Forskerteamet demonstrerede en kunstig intelligens, der kan hj\u00e6lpe m\u00e6nd med begr\u00e6nset s\u00e6dkvalitet med at f\u00e5 biologiske b\u00f8rn. I \u00f8jeblikket skal disse patienter gennemg\u00e5 en procedure for at fjerne en del af deres testikler, hvorfra embryologer manuelt udvinder s\u00e6dceller. Denne s\u00e6d bruges derefter til at befrugte partnerens \u00e6g via ICSI-behandling (intracytoplasmatisk s\u00e6dcelleinjektion). Den nuv\u00e6rende<\/p>","protected":false},"author":2,"featured_media":2145,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[108,178,101],"class_list":["post-2142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision-cv","tag-medicine","tag-medtech"],"yoast_head":"\nAI system outperforms medical experts in identifying sperm | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers at the University of Technology Sydney (UTS) developed an AI tool to identify sperm in men with severe infertility quicker and more accurately than medical professionals.\" \/>\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\/2023\/06\/ai-system-outperforms-medical-experts-in-identifying-sperm\/\" \/>\n<meta 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