Vpliv umetne inteligence na delo radioloških inženirjev

sodelovanje ali nadomestilo?

Anže Kutin (Author), Lara Žarkovič (Author), Janez Žibert (Reviewer), Erna Huskić (Mentor), Aleš Kaučič (Co-mentor)

Abstract

Uvod: Umetna inteligenca je področje računalništva, ki se ukvarja z ustvarjanjem pametnih strojev, sposobnih opravljati naloge, ki bi sicer zahtevale človeško inteligenco. Uporablja različne pristope, kot so strojno učenje, globoko učenje, logično sklepanje in optimizacija, da simulira kognitivne funkcije človeka in izboljšuje svoje delovanje skozi čas. Radiološki inženir v procesu dela pridobi slike, ki predstavljajo velik nabor podatkov, na voljo v digitalni obliki, kar pomeni, da je to področje idealno za uporabo umetne inteligence. Namen: Namen integrativnega pregleda literature je predstaviti kako umetna inteligenca spreminja diagnostično radiologijo in kakšen vpliv ima na delo radioloških inženirjev. Metode dela: Pregledane so bile baze podatkov PubMed in ScienceDirect z uporabo iskalnega niza, ki je bil oblikovan glede na zastavljen cilj. V končni pregled literature je bilo vključenih 16 raziskav. Rezultati: Ugotovili smo, da večina udeležencev prepoznava potencial umetne inteligence za izboljšanje kakovosti in učinkovitosti dela v radiologiji, še posebej v kontekstu optimizacije doze sevanja, nadzora kakovosti in izboljšanja diagnoz. Kljub temu pa ostajajo pomisleki glede vpliva umetne inteligence na poklicne vloge, izobraževanje, varnost podatkov in morebitno izgubo delovnih mest. Razprava in zaključek: Prihodnost umetne inteligence v radiologiji bo odvisna od usklajenega pristopa, ki bo omogočil izboljšanje kakovosti storitev, zagotavljanje varnosti podatkov in ohranjanje pomembne človeške vloge v medicinskem procesu. Pomembno je, da se razvijejo ustrezni programi izobraževanja za zdravstvene delavce, ki bodo omogočili učinkovito uporabo umetne inteligence in preprečili morebitne negativne posledice, kot je strah pred izgubo delovnih mest ali pomanjkanje zaupanja v tehnologijo.

Keywords

diplomska dela;radiološka tehnologija;radiološki inženirji;umetna inteligenca;delo v radiologiji;avtomatizacija v radiologiji;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UL ZF - University College of Health Studies
Publisher:	[A. Kutin
UDC:	616-07
COBISS:	207575811
Views:	41
Downloads:	13
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Impact of artificial intelligence on the work of radiographers
Secondary abstract:	Introduction: Artificial intelligence is a field of computer science that deals with creating intelligent machines capable of performing tasks that would otherwise require human intelligence. It utilizes various approaches such as machine learning, deep learning, logical reasoning, and optimization to simulate human cognitive functions and improve its performance over time. In the process of work, a radiological engineer acquires images representing a large set of data available in digital form, making it an ideal domain for the application of artificial intelligence. Purpose: The purpose of this integrative literature review is to present how artificial intelligence is transforming diagnostic radiology and what impact it has on the work of radiological engineers. Methods: Bases of data PubMed and ScienceDirect were reviewed using a search query formulated based on the set objective. The final literature review included 16 studies. Results: We found that the majority of participants recognize the potential of artificial intelligence to enhance the quality and efficiency of work in radiology, especially in the context of radiation dose optimization, quality control, and diagnostic improvement. However, concerns remain regarding the impact of artificial intelligence on professional roles, education, data security, and potential job loss. Discussion and conclusion: The future of artificial intelligence in radiology will depend on a coordinated approach that enables the improvement of service quality, ensures data security, and maintains a significant human role in the medical process. It is important to develop appropriate education programs for healthcare workers that will facilitate the effective use of artificial intelligence and prevent potential negative consequences, such as fear of job loss or lack of trust in the technology.
Secondary keywords:	diploma theses;radiologic technology;radiological engineers;artificial intelligence;work in radiology;automation in radiology;
Type (COBISS):	Bachelor thesis/paper
Study programme:	0
Thesis comment:	Univ. v Ljubljani, Zdravstvena fak., Oddelek za radiološko tehnologijo
Pages:	39 str.
ID:	25050638