{"id":29979,"date":"2025-12-01T09:00:00","date_gmt":"2025-12-01T09:00:00","guid":{"rendered":"https:\/\/cit.upc.edu\/portfolio-item\/digipatics-ia-per-millorar-el-diagnostic-del-cancer-i-compartir-resultats\/"},"modified":"2026-04-22T12:03:02","modified_gmt":"2026-04-22T12:03:02","slug":"digipatics-ai-to-improve-cancer-diagnosis-and-share-results","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/en\/portfolio-item\/digipatics-ai-to-improve-cancer-diagnosis-and-share-results\/","title":{"rendered":"DigiPatICS: AI to improve cancer diagnosis and share results"},"content":{"rendered":"\n

<\/span><\/p>

01\/12\/2025<\/p>Project Headerno-repeat;left top;;auto20px

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>Project Headerno-repeat;left top;;auto20px

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>Main Textno-repeat;left top;;auto\"DigiPatICS_Ferran\"34\"\/\"35\"\/\"33\"\/

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As part of the DigiPatICS project, eight ICS hospitals have optimised breast cancer diagnosis thanks to artificial intelligence (AI) algorithms that automate the analysis of tissue samples, enabling earlier and more accurate detection of the disease. The results and diagnoses are shared in real time across the eight centres, thereby forming the largest pathology network in Europe.<\/p>\n","protected":false},"author":5,"featured_media":29977,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"portfolio-types":[930,1160],"class_list":["post-29979","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-types-ia-en","portfolio-types-sector-salut-en"],"yoast_head":"\nDigiPatICS: AI to improve cancer diagnosis and share results - CIT UPC<\/title>\n<meta name=\"description\" content=\"As part of the DigiPatICS project, eight ICS hospitals have optimised breast cancer diagnosis thanks to artificial intelligence (AI) algorithms that automate the analysis of tissue samples, enabling earlier and more accurate detection of the disease. 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