{"id":29951,"date":"2025-12-01T09:00:00","date_gmt":"2025-12-01T09:00:00","guid":{"rendered":"https:\/\/cit.upc.edu\/?post_type=portfolio&p=29951"},"modified":"2026-04-22T12:01:09","modified_gmt":"2026-04-22T12:01:09","slug":"digipatics-ia-per-millorar-el-diagnostic-del-cancer-i-compartir-resultats","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/ca\/portfolio-item\/digipatics-ia-per-millorar-el-diagnostic-del-cancer-i-compartir-resultats\/","title":{"rendered":"DigiPatICS: IA per millorar el diagn\u00f2stic del c\u00e0ncer i compartir resultats"},"content":{"rendered":"\n

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01\/12\/2025<\/p>
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En el marc del projecte DigiPatICS, vuit hospitals de l\u2019ICS han optimitzat el diagn\u00f2stic del c\u00e0ncer de mama gr\u00e0cies a uns algorismes d\u2019intel\u00b7lig\u00e8ncia artificial (IA) que automatitzen l\u2019an\u00e0lisi de les mostres de teixit per diagnosticar abans i millor la malaltia. Els resultats i els diagn\u00f2stics es comparteixen en temps real en els vuit centres, constituint, aix\u00ed, la xarxa d\u2019anatomia patol\u00f2gica m\u00e9s gran d\u2019Europa. <\/h4>
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El <\/span>Grup de Processament d\u2019Imatge i V\u00eddeo (GPI)<\/span><\/a> de la Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC), vinculat a l\\’<\/span>Int<\/span>elligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC)<\/span><\/a>, participa en el projecte DigiPatICS, coordinat per l\u2019<\/span>Institut Catal\u00e0 de la Salut (ICS)<\/span><\/a>, per millorar el diagn\u00f2stic del c\u00e0ncer als hospitals p\u00fablics de Catalunya. Ho fa mitjan\u00e7ant la digitalitzaci\u00f3 de les mostres histopatol\u00f2giques (\u00e9s a dir, mostres microsc\u00f2piques de teixits biol\u00f2gics) i la incorporaci\u00f3 d\u2019eines d\u2019IA que automatitzen l\u2019an\u00e0lisi per afinar el diagn\u00f2stic i fer-lo m\u00e9s fiable. Amb aquest sistema es poden analitzar m\u00e9s r\u00e0pidament un major nombre de mostres i els pacients poden rebre m\u00e9s d\u2019hora un diagn\u00f2stic m\u00e9s prec\u00eds.\u00a0\u00a0<\/span><\/p>

Anteriorment, les mostres de teixits s\u2019analitzaven a trav\u00e9s de microscopis, un proc\u00e9s que implicava que els pat\u00f2legs comptessin manualment un nombre petit de c\u00e8l\u00b7lules reactives a les anomenades tincions immunohistoqu\u00edmiques (conjunt de t\u00e8cniques que permeten detectar la pres\u00e8ncia de c\u00e0ncer). Des del 2022, quan es va comen\u00e7ar a implementar la primera fase del projecte, referent a la digitalitzaci\u00f3, els hospitals de l\u2019ICS disposen de 24 esc\u00e0ners d\u2019alta precisi\u00f3 connectats a 13 estacions per digitalitzar les mostres. Aix\u00f2 ha perm\u00e8s que el nombre de c\u00e8l\u00b7lules analitzat per mostra sigui molt superior i es puguin compartir, tant pel que fa a les imatges com els diagn\u00f2stics, en temps real i de forma segura, amb la resta d\u2019hospitals de la xarxa, creant una base de dades comuna de m\u00e9s de quatre milions d\u2019imatges digitalitzades.<\/span><\/p>

A partir de les mostres digitalitzades, els algorismes d\u2019IA basats en aprenentatge profund (<\/span>deep learning<\/span>) detecten, quantifiquen i classifiquen autom\u00e0ticament les c\u00e8l\u00b7lules reactives a les tincions immunohistoqu\u00edmiques. Aix\u00f2 no nom\u00e9s agilitza el proc\u00e9s, sin\u00f3 que tamb\u00e9 millora la precisi\u00f3 estad\u00edstica i fa possible que els diagn\u00f2stics siguin reprodu\u00efbles, que \u00e9s un dels objectius de DigiPatICS. Nom\u00e9s un any despr\u00e9s d\u2019haver-se implementat els algorismes, el 2024, ja s\u2019havien analitzat 13.885 imatges, ajudant al tractament de m\u00e9s de 4.400 pacients.<\/span><\/p>

Els resultats de l\u2019an\u00e0lisi feta pels algorismes s\u00f3n visibles pels m\u00e9s 170 pat\u00f2legs dels set hospitals de l\u2019ICS que disposen d\\’aquest servei: Hospital Universitari Arnau de Vilanova (Lleida), Hospital Universitari de Bellvitge (L\u2019Hospitalet de Llobregat), Hospital Universitari Germans Trias i Pujol (Badalona), Hospital Universitari de Girona Doctor Josep Trueta, Hospital Universitari Joan XXIII (Tarragona), Hospital Universitari Vall d\u2019Hebr\u00f3n (Barcelona) i Hospital de Tortosa Verge de la Cinta. Els diagn\u00f2stics i les imatges es comparteixen tamb\u00e9 amb l\u2019Hospital de Viladecans, que completa la xarxa de l\u2019Institut. Aix\u00f2 els permet estar connectats, supervisar els resultats conjuntament i oferir diagn\u00f2stics a dist\u00e0ncia, creant aix\u00ed una de les xarxes d\u2019anatomia patol\u00f2gica digital m\u00e9s gran del m\u00f3n. Alhora, la introducci\u00f3 d\u2019aquestes eines ha perm\u00e8s a l\u2019ICS avan\u00e7ar en la transformaci\u00f3 digital en aquest tipus de serveis m\u00e8dics.<\/span><\/p>

Tot i que a l\u2019inici el projecte es va centrar en el c\u00e0ncer de mama per la seva alta prevalen\u00e7a, ja que s\u2019estima que una de cada vuit dones ha patit o patir\u00e0 aquest tipus de c\u00e0ncer, actualment l\u2019estudi s\u2019est\u00e0 estenent a altres patologies oncol\u00f2giques com ara el c\u00e0ncer de pulm\u00f3, de c\u00f2lon i d\u2019endometri.<\/span><\/p>

El projecte DigiPatICS ha rebut, el 19 de novembre a Barcelona, el guard\u00f3 del <\/span>15\u00e8 Premi UPC de Valoritzaci\u00f3 de la Recerca<\/a>, en la modalitat de millor projecte de transfer\u00e8ncia tecnol\u00f2gica, atorgat pel Consell Social de la UPC.\u00a0Autoria de les imatges: UPC, Hospital Universitari Vall d\\’Hebron.<\/span><\/p>
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En el marc del projecte DigiPatICS, vuit hospitals de l\u2019ICS han optimitzat el diagn\u00f2stic del c\u00e0ncer de mama gr\u00e0cies a uns algorismes d\u2019intel\u00b7lig\u00e8ncia artificial (IA) que automatitzen l\u2019an\u00e0lisi de les mostres de teixit per diagnosticar abans i millor la malaltia. Els resultats i els diagn\u00f2stics es comparteixen en temps real en els vuit centres, constituint, aix\u00ed, la xarxa d\u2019anatomia patol\u00f2gica m\u00e9s gran d\u2019Europa. <\/p>\n","protected":false},"author":5,"featured_media":29976,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"portfolio-types":[915,1055],"class_list":["post-29951","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-types-ia-ca","portfolio-types-sector-salut"],"yoast_head":"\nDigiPatICS: IA per millorar el diagn\u00f2stic del c\u00e0ncer - CIT UPC<\/title>\n<meta name=\"description\" content=\"En el marc del projecte DigiPatICS, vuit hospitals de l\u2019ICS han optimitzat el diagn\u00f2stic del c\u00e0ncer de mama gr\u00e0cies a uns algorismes d\u2019intel\u00b7lig\u00e8ncia artificial (IA) que automatitzen l\u2019an\u00e0lisi de les mostres de teixit per diagnosticar abans i millor la malaltia. Els resultats i els diagn\u00f2stics es comparteixen en temps real en els vuit centres, constituint, aix\u00ed, la xarxa d\u2019anatomia patol\u00f2gica m\u00e9s gran d\u2019Europa.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cit.upc.edu\/ca\/portfolio-item\/digipatics-ia-per-millorar-el-diagnostic-del-cancer-i-compartir-resultats\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DigiPatICS: IA per millorar el diagn\u00f2stic del c\u00e0ncer - CIT UPC\" \/>\n<meta property=\"og:description\" content=\"En el marc del projecte DigiPatICS, vuit hospitals de l\u2019ICS han optimitzat el diagn\u00f2stic del c\u00e0ncer de mama gr\u00e0cies a uns algorismes d\u2019intel\u00b7lig\u00e8ncia artificial (IA) que automatitzen l\u2019an\u00e0lisi de les mostres de teixit per diagnosticar abans i millor la malaltia. 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