Artificial Intelligence in Healthcare: University Students’ Perceptions and Level of Confidence

<b>Introduction/Objectives</b>: The continuous progress of information technologies and their increasing use in the health sector have driven the integration of these technologies into the care of the population, including the progressive use of Artificial Intelligence (AI). Given the rapid growth of AI, legislation and scientific evidence have been accompanying developments, clarifying the place of this technology in society. This study aimed to determine university students' perspectives on the use of AI in healthcare, correlating them with sociodemographic characteristics. <b>Methods</b>: Data were collected using an original personal questionnaire to first-year students from four organic units at the University of Porto, between December 2024 and March 2025. <b>Results</b>: A total of 235 responses were obtained from four different Faculties, and no significant differences were found between gender, area of study, or course, regarding perspectives on the inclusion of AI in healthcare. Across the board, students view this inclusion positively, even though they trust a doctor more and do not have uniform positions regarding the system's accountability. <b>Conclusions</b>: Thus, the study's results highlight the need to deepen the debate and training on AI in healthcare, to promote the conscious, critical, and ethical integration of these technologies into healthcare.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2025-09-16
DOI
https://doi.org/10.3390/healthcare13182312
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Healthcare: University Students’ Perceptions and Level of Confidence

Luísa Castro, Paula Péres, Ivone Duarte
1 citations
Healthcare
Artificial Intelligence in Healthcare and Education
0.65
article

Artificial Intelligence in Healthcare: University Students’ Perceptions and Level of Confidence

Luísa Castro, Paula Péres, Ivone Duarte
article en
1 citations

Abstract

<b>Introduction/Objectives</b>: The continuous progress of information technologies and their increasing use in the health sector have driven the integration of these technologies into the care of the population, including the progressive use of Artificial Intelligence (AI). Given the rapid growth of AI, legislation and scientific evidence have been accompanying developments, clarifying the place of this technology in society. This study aimed to determine university students' perspectives on the use of AI in healthcare, correlating them with sociodemographic characteristics. <b>Methods</b>: Data were collected using an original personal questionnaire to first-year students from four organic units at the University of Porto, between December 2024 and March 2025. <b>Results</b>: A total of 235 responses were obtained from four different Faculties, and no significant differences were found between gender, area of study, or course, regarding perspectives on the inclusion of AI in healthcare. Across the board, students view this inclusion positively, even though they trust a doctor more and do not have uniform positions regarding the system's accountability. <b>Conclusions</b>: Thus, the study's results highlight the need to deepen the debate and training on AI in healthcare, to promote the conscious, critical, and ethical integration of these technologies into healthcare.

HealthcareVol. 13(18)
Universidade do Porto (PT), Decision Sciences (United States) (US)
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence in Healthcare: University Students’ Perceptions and Level of Confidence — Luísa Castro, Paula Péres, et al. · Healthcare (2025) | TGRS Research Map | TGRS