Primjena umjetne inteligencije na područje medicine

undergraduate thesis

• Title (english): Artificial intelligence in healthcare
• Author: Silvio Havranek
• Mentor: Tomislav Ivanjko (mentor)
• Committee member: Ivana Hebrang Grgić (predsjednik povjerenstva)
• Committee member: Ana Barbarić (član povjerenstva)
• Committee member: Tomislav Ivanjko (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2021-09-23, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract

Umjetna inteligencija skup je više zasebnih tehnologija, od kojih su najznačajnije strojno učenje, koje se ovisno o korištenim podatcima dijeli na nadzirano i nenadzirano učenje, i obrada prirodnog jezika. S obzirom na velik broj različitih tehnologija, umjetna inteligencija ima velik potencijal na razna područja, poput autonomnih vozila, pametnih domova ili obrazovanja, dok je ovaj rad usredotočen na primjenu umjetne inteligencije na području medicine. Objašnjen je način rada najkorištenijih podtipova strojnog učenja i razina obrade prirodnog jezika, a nakon toga su dani primjeri njihove primjene u medicini. Ta primjena uključuje dijagnosticiranje i istraživanje raznih bolesti ili pomoć liječnicima pri odabiru ispravne vrste liječenja pacijenata. Također je detaljno istražena uloga umjetne inteligencije u borbi s COVID-om-19, gdje se između ostalog koristila za razvoj cjepiva i prevenciju širenja zaraze.

Abstract (english)

Artificial intelligence is made up of several technologies, the most significant of which are natural language processing and machine learning, which, depending on the used data, can be supervised or unsupervised. Due to its several distinct technologies, artificial intelligence has a considerable potential to be used in numerous fields, e.g., autonomous vehicles, smart homes, or education, while this paper focuses on its use in healthcare. The paper illustrates how both the most used machine learning subtypes, and different levels of natural language processing work, after which examples of their healthcare applications are given. These applications include diagnosis and research of various illnesses, or helping doctors decide on the right treatment. The use of artificial intelligence in battling COVID-19 is also explored in detail, where, among other things, it was used in vaccine development and prevention of transmission.

• Keywords: umjetna inteligencija; medicina; strojno učenje; obrada prirodnog jezika; COVID-19
• Keywords (english): artificial intelligence; healthcare; machine learning; natural language processing; COVID-19
• Language: croatian
• URN:NBN: urn:nbn:hr:131:929493
• Study programme: Title: Information Sciences; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2021-09-23 09:00:38