Perceptions, barriers, and risk of artificial intelligence Among healthcare professionals: A cross-sectional study

This study highlights the need for more transparent policies, better communication, and more robust frameworks for AI implementation in healthcare.

Authors

Institutions

Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251360924
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

Perceptions, barriers, and risk of artificial intelligence Among healthcare professionals: A cross-sectional study

Alaa Dalky, Salam Bani Hani, Ahmad Alrawashdeh, Mohammed ALBashtawy et al.
1 citations
Digital Health
Artificial Intelligence in Healthcare and Education
0.65
article

Perceptions, barriers, and risk of artificial intelligence Among healthcare professionals: A cross-sectional study

Alaa Dalky, Salam Bani Hani, Ahmad Alrawashdeh, Mohammed ALBashtawy, Rand Mohammad Osaid Malkawi
article en
1 citations

Abstract

This study highlights the need for more transparent policies, better communication, and more robust frameworks for AI implementation in healthcare.

Digital HealthVol. 11
Jordan University of Science and Technology (JO), Al al-Bayt University (JO), Irbid National University (JO)
Openalex Percentile: Top 23%
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.