{"id":4780,"date":"2023-08-02T16:17:13","date_gmt":"2023-08-02T16:17:13","guid":{"rendered":"https:\/\/leanstartup.hr\/?p=4780"},"modified":"2023-12-11T09:48:31","modified_gmt":"2023-12-11T09:48:31","slug":"sazetak-panel-rasprave-ai-u-zdravstvu-teorija-nasuprot-prakse-1-dio","status":"publish","type":"post","link":"https:\/\/smion.com\/hr\/sazetak-panel-rasprave-ai-u-zdravstvu-teorija-nasuprot-prakse-1-dio\/","title":{"rendered":"Sa\u017eetak panel rasprave \u201cAI u Zdravstvu\u201d: teorija nasuprot prakse 1. dio"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4780\" class=\"elementor elementor-4780\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-173a5b12 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"173a5b12\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7715fb33\" data-id=\"7715fb33\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7affca32 elementor-widget elementor-widget-text-editor\" data-id=\"7affca32\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Nakon uspje\u0161no odr\u017eanog TeamUp x Health eventa, \u017eelimo vas podsjetiti na klju\u010dna znanja i informacije koja su proiza\u0161la iz panel rasprave<strong> \u201cAI u Zdravstvu\u201c<\/strong>. U panel raspravi sudjelovali su <strong>Mladen Ferne\u017eir, Marko Poljak, dr.sc. Tomislav \u0160muc i Tomislav Strgar<\/strong>. Panelisti su nam pru\u017eili vrijedne uvide o primjeni umjetne inteligencije u zdravstvu i o najnovijim tehnolo\u0161kim trendovima koji \u0107e oblikovati budu\u0107nost medicine. Panel rasprava podijeljena je u 3 cjeline, a iz svake smo mogli nau\u010diti ne\u0161to novo i zanimljivo. U ovom \u010dlanku fokusirat \u0107emo se na prvu cjelinu, a to je <strong>Primjena AI u zdravstvu \u2013 teorija vs praksa<\/strong><\/p><figure id=\"attachment_4773\" aria-describedby=\"caption-attachment-4773\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-4773 size-full\" src=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/IMG_2519-1-1024x683-1.jpg\" alt=\"AI u Zdravstvu\" width=\"1024\" height=\"683\" srcset=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/IMG_2519-1-1024x683-1.jpg 1024w, https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/IMG_2519-1-1024x683-1-300x200.jpg 300w, https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/IMG_2519-1-1024x683-1-768x512.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-4773\" class=\"wp-caption-text\">Panelisti (s lijeva prema desno): Bernard Ivezi\u0107 (moderator), Mladen Ferne\u017eir, Marko Poljak, dr.sc. Tomislav \u0160muc i Tomislav Strgar<\/figcaption><\/figure><p>Na\u0161 moderator, Bernard Ivezi\u0107 zapo\u010deo je raspravu iznose\u0107i informacije o va\u017enosti umjetne inteligencije u zdravstvu, ali istaknuo je da je njezina trenutna primjena jo\u0161 uvijek ograni\u010dena. Na po\u010detku panel rasprave prikazana su dva grafa s kojih se mo\u017ee o\u010ditati kakva je percepcija o umjetnoj inteligenciji, a koliko se ona stvarno koristi u industriji.<\/p><figure id=\"attachment_4774\" aria-describedby=\"caption-attachment-4774\" style=\"width: 977px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-4774 size-full lazyload\" data-src=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/TeamUpxHealth-panel1a-USprovidersoppinion.png\" alt=\"\" width=\"977\" height=\"604\" data-srcset=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/TeamUpxHealth-panel1a-USprovidersoppinion.png 977w, https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/TeamUpxHealth-panel1a-USprovidersoppinion-300x185.png 300w, https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/TeamUpxHealth-panel1a-USprovidersoppinion-768x475.png 768w\" data-sizes=\"(max-width: 977px) 100vw, 977px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 977px; --smush-placeholder-aspect-ratio: 977\/604;\" \/><figcaption id=\"caption-attachment-4774\" class=\"wp-caption-text\">Izvor: https:\/\/www.businessinsider.com\/ai-medical-diagnosis-report<\/figcaption><\/figure><p>Iz prvog grafa mo\u017eemo vidjeti kako je percepcija <strong>Ameri\u010dikih pru\u017eatelja zdravstvenih usluga<\/strong> o korisnosti umjetne inteligencije vrlo visoka. \u010cak <strong>65%<\/strong> ispitanika odgovorilo je kako smatraju da je AI vrlo bitan za obavljanje njihovog posla, dok je samo<strong> 14%<\/strong> ispitanika odgovorilo kako trenutno koristi umjetnu inteligenciju u svome radu. Iako su podaci iz grafa iz 2018, jo\u0161 uvijek su relevantni i najzornije prikazuju trenutno stanje kori\u0161tenja alata baziranih na umjetnoj inteligenciji.<\/p><h4>Barijere koje onemogu\u0107avaju bolje kori\u0161tenje AI-a u zdravstvu<\/h4><p>Komplementarne inovacije klju\u010dne su za uspje\u0161no usvajanje umjetne inteligencije i drugih informacijskih tehnologija u zdravstvu. Na primjer, uspje\u0161no uvo\u0111enje elektroni\u010dkih medicinskih zapisa zahtijevalo je inovacije u integraciji softverskih sustava i promjene u na\u010dinu rada lije\u010dnika i farmaceuta, \u0161to nikako nije jednostavno za provesti.<\/p><p>Nekoliko je glavnih izazova pri usvajanju umjetne inteligencije u zdravstvu, a to su:<\/p><ul><li><strong>Algoritamska ograni\u010denja<\/strong>: AI se temelji na neuronskim mre\u017eama, no problem je \u0161to ponekad ne mo\u017eemo razumjeti kako AI donosi odre\u0111ene odluke. Ovo smanjuje povjerenje zdravstvenih djelatnika u AI, jer \u0107e biti odgovorni za odluke koje AI donosi. Razvijanje transparentnijih AI sustava je klju\u010dno za njihovu \u0161iru upotrebu.<\/li><li><strong>Ograni\u010den pristup podacima<\/strong>: Kvalitetni podaci su va\u017eni za dobro funkcioniranje AI. No prikupljanje medicinskih podataka je te\u0161ko i \u010desto nesavr\u0161eno. Povezivanje podataka iz razli\u010ditih bolnica je tako\u0111er izazov. Potrebno je raditi na pobolj\u0161anju prikupljanja i dijeljenja podataka kako bi AI bio korisniji.<\/li><li><strong>Regulatorne barijere<\/strong>: Stroge regulacije privatnosti ote\u017eavaju prikupljanje i dijeljenje zdravstvenih podataka. Tako\u0111er, odobravanje novih medicinskih tehnologija zahtijeva vrijeme i pa\u017eljivu analizu. Inovacije u regulacijama umjetne inteligencije potrebne su kako bi se AI lak\u0161e usvojio.<\/li><li><strong>Strah od gubitka posla<\/strong>: Uvo\u0111enje AI mo\u017ee prijetiti poslovima nekih zdravstvenih djelatnika, \u0161to mo\u017ee smanjiti volju za usvajanjem tehnologije. Edukacijom djelatnika o umjetnoj inteligenciji i primjenama umjetne inteligencije mogu\u0107e je pospje\u0161iti adopciju i smanjiti strah od gubitka posla.<\/li><\/ul><p>Iz drugog grafa mo\u017eemo i\u0161\u010ditati kako umjetna inteligencija u zdravstvu i farmaciji najve\u0107u primjenu ima u kontroli kvalitete (60% slu\u010dajeva), zatim u brizi za pacijente\/korisnike (44% slu\u010dajeva) te u dijagnostici i nadzoru (42% slu\u010dajeva). Taj podatak ne \u010dudi, jer to su slu\u010dajevi gdje je mogu\u0107e prikupiti najve\u0107i broj podataka na kojima bismo mogli istrenirati modele strojnog u\u010denja kako bi nam olak\u0161ali obavljanje posla.<\/p><p><img decoding=\"async\" class=\"aligncenter wp-image-4783 size-full lazyload\" data-src=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/TeamUpxHealth-panel1b-USprovidersoppinion.png\" alt=\"\" width=\"813\" height=\"559\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 813px; --smush-placeholder-aspect-ratio: 813\/559;\" \/><\/p><p><strong>Marko Poljak<\/strong>, CEO Newton Technologies, podijelio je iskustva iz svojih po\u010detaka s AI tehnologijama i dotaknuo se proizvoda <strong>Newton Dictate<\/strong>, kojeg mo\u017eemo opisati kao \u201cAlexa za lije\u010dnike\u201d, a omogu\u0107uje glasovno popunjavanje formulara, odnosno omogu\u0107uje zdravstvenom osoblju da \u201cpi\u0161e\u201d svojim glasom.<\/p><p>Tehnologija koja omogu\u0107ava postojanje ovakvog proizvoda naziva se NLP, odnosno \u201cNatural Language Processing\u201d.<strong> Natural Language Processing<\/strong> (NLP) je podru\u010dje umjetne inteligencije koje se bavi ra\u010dunalima i ljudskim jezikom. Cilj NLP-a je razumjeti, interpretirati i generirati ljudski jezik koriste\u0107i tehnike strojnog u\u010denja, obrade prirodnog jezika i lingvistike.<\/p><p>Glavni zadaci NLP-a uklju\u010duju tokenizaciju, leksi\u010dku i morfolo\u0161ku analizu, sintakti\u010dku i semanti\u010dku analizu, prepoznavanje govora, generiranje prirodnog jezika, prevo\u0111enje jezika, detekciju emocija te sustave za odgovaranje na pitanja.<\/p><p>NLP ima \u0161iroku primjenu u podru\u010djima kao \u0161to su pretra\u017eivanje interneta, analiza sentimenta na dru\u0161tvenim medijima, virtualni asistenti, automatizacija korisni\u010dke podr\u0161ke i mnogi drugi.<\/p><p>Kori\u0161tenjem NLP tehnologija zdravstveno osoblje mogu\u0107e je rasteretiti u administrativnom smislu, \u0161to u kona\u010dnici rezultira br\u017eim i efikasnijim radom \u0161to rezultira lije\u010denjem ve\u0107eg broja pacijenata.<\/p><p>Vi\u0161e o NLPu mo\u017ee\u0161 saznati <a href=\"https:\/\/www.simplilearn.com\/tutorials\/artificial-intelligence-tutorial\/what-is-natural-language-processing-nlp\">na ovom linku.<\/a><\/p><figure id=\"attachment_4784\" aria-describedby=\"caption-attachment-4784\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-4784 size-full lazyload\" data-src=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/IMG_2529-1024x683-1.jpg\" alt=\"AI u Zdravstvu\" width=\"1024\" height=\"683\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/683;\" \/><figcaption id=\"caption-attachment-4784\" class=\"wp-caption-text\">Mladen Ferne\u017eir, Co-founder Velebit AI (lijevo) i Marko Poljak, CEO Newton Technologies (desno)<\/figcaption><\/figure><p><strong>Mladen Ferne\u017eir<\/strong>, Co-founder Velebit AI, naglasio je mnoge prilike za AI u zdravstvu i potencijal za pobolj\u0161anje postoje\u0107ih proizvoda.<\/p><p>Primjerice, umjetna inteligencija ve\u0107 danas se mo\u017ee koristiti za ranu dijagnozu bolesti kod ploda, odnosno mo\u017ee nam pomo\u0107i detektirati anomalije u kromosomima i predvidjeti koje su to bolesti s kojima \u0107e se roditelji i dijete susresti u budu\u0107nosti.<\/p><p>Strojno u\u010denje tako\u0111er omogu\u0107uje analizu velike koli\u010dine znanstvenih istra\u017eivanja i medicinskih studija kako bi se bolje razumjeli mehanizmi genskih bolesti i identificirale nove terapeutske metode. Ovaj pristup podr\u017eava brz i u\u010dinkovit razvoj novih lijekova i terapija usmjerenih na specifi\u010dne genske mutacije. Vi\u0161e o umjetnoj inteligenciji i genetici mo\u017ee\u0161 pro\u010ditati<a href=\"https:\/\/www.diva-portal.org\/smash\/get\/diva2:1503344\/FULLTEXT01.pdf\"> ovdje<\/a>.<\/p><p>Tako\u0111er, umjetna inteligencija ve\u0107 danas se mo\u017ee koristiti kako bi se analizirali podaci s nalaza pacijenta. Tako je mogu\u0107e je lak\u0161e detektirati pacijente koji imaju mogu\u0107nost oboljenja od bolesti kao \u0161to su<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0888754323000289?via%3Dihub\"> dijabetes i kardiovaskularne bolesti.<\/a> Zbog toga, medicinsko osoblje mo\u017ee izvr\u0161iti bolju prevenciju bolesti i omogu\u0107iti raniji tretman kako bi se o\u010duvalo zdravlje pacijenta.<\/p><h4>Nedovoljno (kvalitetnih) podataka \u2013 problem koji sprje\u010dava br\u017eu primjenu umjetne inteligencije u zdravstvu<\/h4><p><strong>Dr.sc. Tomislav \u0160muc<\/strong> iz Instituta Ru\u0111er Bo\u0161kovi\u0107 istaknuo je potrebu za <a href=\"https:\/\/www.pinsentmasons.com\/out-law\/analysis\/achieving-quality-data-ai-healthcare\">kvalitetnim podacima<\/a> kako bi se AI modeli uspje\u0161no istrenirali. Problem nedovoljno kvalitetnih podataka na kojima bi se umjetna inteligencija mogla istrenirati jedan je od najve\u0107ih trenutnih problema koji sprje\u010davaju bolju primjenu umjetne inteligencije u zdravstvu.<\/p><p>Postoji <a href=\"https:\/\/towardsdatascience.com\/data-quality-considerations-for-machine-learning-models-dcbe9cab34cb?gi=0a048592383a\">nekoliko klju\u010dnih razloga<\/a> za\u0161to nedovoljno kvalitetni podaci predstavljaju izazov za treniranje AI modela, a to su:<\/p><ul><li><strong>Pogre\u0161ke i \u0161um<\/strong>: Podaci mogu sadr\u017eavati pogre\u0161ke, nejasno\u0107e, \u0161um ili nesigurne vrijednosti. Ako su podaci neto\u010dni ili nejasni, AI model mo\u017ee nau\u010diti pogre\u0161ne uzorke i donositi neto\u010dne predikcije.<\/li><li><strong>Nedostaju\u0107i podaci<\/strong>: Ako nemamo dovoljno podataka, AI model ne\u0107e imati dovoljno informacija da bi stvorio adekvatne generaliziraju\u0107e modele. Nedostaju\u0107i podaci mogu dovesti do pretreniranja (overfitting) ili do nemogu\u0107nosti modela da donosi ispravne odluke.<\/li><li>Neuravnote\u017eeni skupovi podataka: Ako skup podataka kojim treniramo AI model nije uravnote\u017een, odnosno sadr\u017ei previ\u0161e primjera iz jedne klase u odnosu na drugu, model mo\u017ee biti pristran i imati pote\u0161ko\u0107a u prepoznavanju manje zastupljenih klasa.<\/li><li><strong>Lo\u0161e ozna\u010deni podaci<\/strong>: To\u010dno ozna\u010deni podaci klju\u010dni su za u\u010denje AI modela. Ako su podaci lo\u0161e ozna\u010deni ili sadr\u017ee pogre\u0161ke u oznakama, model ne\u0107e nau\u010diti pravilne obrasce i mo\u017ee donositi neto\u010dne odluke.<\/li><li><strong>Nedostatak raznolikosti<\/strong>: Ako skup podataka nije dovoljno raznolik, AI model mo\u017ee imati pote\u0161ko\u0107e u generalizaciji na nove i nepoznate primjere. Raznolikost podataka klju\u010dna je za pouzdane predikcije u stvarnim uvjetima.<\/li><li><strong>Nedovoljna koli\u010dina podataka<\/strong>: AI modeli, posebno duboki modeli koji zahtijevaju velike koli\u010dine podataka, mogu biti ograni\u010deni nedovoljnom koli\u010dinom dostupnih podataka. Nedovoljna koli\u010dina podataka mo\u017ee dovesti do pretreniranja, gdje model \u201czapamti\u201d podatke umjesto da nau\u010di op\u0107enite uzorke.<\/li><\/ul><p>Rje\u0161avanje problema \u201cnedovoljno kvalitetnih podataka\u201d zahtijeva pa\u017eljivu pripremu skupa podataka, proaktivnu identifikaciju i ispravak pogre\u0161aka te dodatne strategije, poput tehnika pove\u0107anja podataka, kako bi se osigurala raznolikost i kvaliteta podataka. <strong>Pa\u017eljiv izbor i priprema podataka klju\u010dni su koraci u izgradnji pouzdanih, preciznih i u\u010dinkovitih AI modela.<\/strong><\/p><figure id=\"attachment_4785\" aria-describedby=\"caption-attachment-4785\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-4785 size-full lazyload\" data-src=\"https:\/\/smion.com\/wp-content\/uploads\/2023\/08\/IMG_2536-1024x683-1-1.jpg\" alt=\"\" width=\"1024\" height=\"683\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/683;\" \/><figcaption id=\"caption-attachment-4785\" class=\"wp-caption-text\">dr.sc. Tomislav \u0160muc, Institut Ru\u0111er Bo\u0161kovi\u0107<\/figcaption><\/figure><p>Zaklju\u010dak prvog dijela panel rasprave<strong> \u201cAI u zdravstvu \u2013 teorija vs praksa\u201d<\/strong>, je kako je umjetna inteligencija u zdravstvu u za\u010detku s razvojem te da postoji mnogo prostora za pobolj\u0161anje i usvajanje novih tehnologija.<\/p><p><iframe title=\"Primjena AI u zdravstvu - teorija ili praksa?\" width=\"800\" height=\"450\" data-src=\"https:\/\/www.youtube.com\/embed\/OmXDZDEmclM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p><p>Tako\u0111er vas pozivamo da podijelite ovaj \u010dlanak s ljudima za koje mislite da bi ih mogao zanimati te da nas nastavite pratiti jer \u0107emo nastaviti objavljivati sa\u017eetke i klju\u010dna u\u010denja ostale dvije teme s panel rasprave <strong>\u201cAI u zdravstvu\u201d.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Nakon uspje\u0161no odr\u017eanog TeamUp x Health eventa, \u017eelimo vas podsjetiti na klju\u010dna znanja i informacije koja su proiza\u0161la iz panel rasprave \u201cAI u Zdravstvu\u201c. U panel raspravi sudjelovali su Mladen Ferne\u017eir, Marko Poljak, dr.sc. Tomislav \u0160muc i Tomislav Strgar. Panelisti su nam pru\u017eili vrijedne uvide o primjeni umjetne inteligencije u zdravstvu i o najnovijim tehnolo\u0161kim [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":5006,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-4780","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-hr"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Sa\u017eetak panel rasprave \u201cAI u Zdravstvu\u201d: teorija nasuprot prakse 1. dio<\/title>\n<meta name=\"description\" content=\"&quot;AI u zdravstvu&quot; aktualna je tema zadnjih nekoliko mjeseci te su upravo o njoj pri\u010dali 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