Upravljanje umjetnom inteligencijom u medicini

master's thesis

• Title (english): Management of artificial intelligence in medicine
• Author: Ela Maloča
• Mentor: Dalia Suša Vugec (mentor)
• Committee member: Ana-Marija Stjepić (član povjerenstva)
• Committee member: Mirjana Pejić Bach (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2025-02-24, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Umjetna inteligencija je aktualna tema zbog promjena koje donosi u pristupima liječenja. Ona ima široku primjenu u medicini, omogućuje značajna poboljšanja u liječenju. Ovaj rad razmatra primjenu umjetne inteligencije u medicini te se bavi vrstama i tehnologijama umjetne inteligencije kao što su strojno učenje, duboko učenje, prirodna obrada jezika te računalni vid. Kroz rad se analizira doprinos umjetne inteligencije u kliničkoj dijagnostici, gdje tehnologije poput analize medicinskih slika omogućuju bržu dijagnozu različitih bolesti poput raka kože ili pluća. Također, istaknuta je uloga virtualnih asistenata koji pomažu u administrativnim zadacima te komunikaciji s pacijentima. Istaknuta je i uloga kirurških robota koji omogućavaju minimalno invazivne operacije. Osim toga, prikazuje se uloga umjetne inteligencije u procesu otkrivanja novih lijekova. Na kraju, rad se osvrće na istraživanje stava javnosti o primjeni umjetne inteligencije u medicini gdje javnost izražava zabrinutost u pogledu točnosti dijagnoze, privatnosti podataka, zamjene ljudskih liječnika te gubitku ljudske empatije.

Abstract (english)

Artificial intelligence is a current topic due to the changes it brings to treatment approaches. It has a wide range of applications in medicine, enabling significant improvements in medical treatment. This paper explores the application of artificial intelligence in medicine, focusing on types and technologies such as machine learning, deep learning, natural language
processing, and computer vision. The paper analyzes the contribution of artificial intelligence in clinical diagnostics, where technologies like medical image analysis enable faster diagnosis of various diseases, such as skin and lung cancer. It also highlights the role of virtual assistants, which assist in administrative tasks and communication with patients. The paper emphasizes the role of surgical robots, which enable minimally invasive surgeries. Additionally, the role of AI in the drug discovery process is presented. Finally, the paper examines public opinion on the application of AI in medicine, where concerns about diagnosis accuracy, data privacy, the replacement of human doctors, and the loss of human empathy are expressed.

• Keywords: umjetna inteligencija; strojno učenje; duboko učenje; prirodna obrada jezika; računalni vid; robotska kirurgija; klinička dijagnostika; virtualni asistenti; proces otkrivanja lijekova
• Keywords (english): artificial intelligence; machine learning; deep learning; natural language processing; computer vision; robotic surgery; clinical diagnostics; virtual assistants; drug discovery process
• Language: croatian
• URN:NBN: urn:nbn:hr:148:393560
• Study programme: Title: Business economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2025-02-24 14:33:08