{"id":1949,"date":"2020-10-09T01:04:52","date_gmt":"2020-10-08T23:04:52","guid":{"rendered":"https:\/\/www.physico.biz\/event\/big-data-radiomics-artificial-intelligence-in-healthcare\/"},"modified":"2020-12-28T19:41:33","modified_gmt":"2020-12-28T18:41:33","slug":"20191213-20191214-big-data","status":"publish","type":"tribe_events","link":"https:\/\/www.physico.biz\/en\/event\/20191213-20191214-big-data\/","title":{"rendered":"BIG-DATA, RADIOMICS & ARTIFICIAL INTELLIGENCE IN HEALTHCARE"},"content":{"rendered":"
SCARICA ALLEGATO PDF<\/span><\/a><\/div>\n

 <\/p>\n

Responsabile Scientifico<\/strong>
\nMauro Iori<\/p>\n

Coordinatori Scientifici, Relatori e Moderatori<\/strong>
\nCarlo Cavedon
\nLidia Strigari<\/p>\n

Finalit\u00e0 del Corso<\/strong>
\nLa disponibilit\u00e0 di Big-Data e le moderne applicazioni di Intelligenza Artificiale (AI) in campo medico stanno generando una rivoluzione in Sanit\u00e0. Nella Diagnostica per Immagini, ad esempio, i\u00a0 recenti progressi ottenuti dalle tecniche di apprendimento automatico nella gestione dei flussi di attivit\u00e0, nell\u2019ottimizzazione delle modalit\u00e0 di acquisizione delle immagini e nella valutazione delle\u00a0 immagini stesse stanno aprendo nuovi scenari nella pratica radiologica. Queste innovazioni, con forti aspettative di maggior efficienza ed accuratezza diagnostica, stanno parimenti avvenendo in\u00a0 molti altri settori della Medicina (Radioterapia Oncologica, Medicina Nucleare, ecc.. ) in cui i Fisici Medici operano a supporto degli specialisti clinici. L\u2019uso consapevole e sicuro di questi\u00a0 strumenti richiede, d\u2019altro canto, nuove conoscenze e specifiche competenze degli utilizzatori sanitari nell\u2019analisi dei dati (Data-Scientist, Imaging Biobanks Analysts), nell\u2019estrazione e validazione\u00a0 dei bio-marker (Radiomics, Radiogenomics, Pathomics, ecc..), nell\u2019implementazione e nel monitoraggio (Quality Assurance) dei sistemi e\/o dispositivi medici basati sull\u2019AI. Rafforzare e rendere\u00a0 fattivo lo scambio di competenze \u00e8 un passaggio necessario ed imprescindibile; nella Panel Discussion si confronteranno Associazioni Scientifiche, Enti di ricerca, Organi istituzionali, Aziende e\u00a0 specialisti del settore. Una panoramica realistica di quanto \u00e8 oggi applicabile non pu\u00f2 prescindere dal conoscere le linee di sviluppo ed i progetti di ricerca messi in campo dalle Aziende: il corso\u00a0 offrir\u00e0 due Company Symposium. La seconda edizione del corso intende offrire, ai colleghi fisici ed ai medici specialisti, una panoramica aggiornata sulle tematiche dei Big-data, della Radiomica e\u00a0 dell\u2019AI.<\/p>\n","protected":false},"excerpt":{"rendered":"

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