ArticleBMC medical informatics and decision making2023
Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions' students in Jordan.
Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
59 citing papers in PubMed, 102 citations in OpenAlex.
- Artificial intelligence readiness in Pakistan's medical and dental education: training-phase decline, a knowledge-practice paradox, and the role of digital determinants of health.Medical education online · 2026Article
- Factors Influencing Nursing Internship Students' Readiness to Use AI: Cross-Sectional Study Using Neural Network Analysis.JMIR nursing · 2026Article
- Saudi Medical Students' Perceptions and Attitudes of Integrating Generative Artificial Intelligence Integration in Medical Education: A Cross-Sectional Study.Health science reports · 2026Article
- Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.BMC nursing · 2026Article
- Patient attitudes toward artificial intelligence in Jordanian Healthcare: A cross-sectional survey study.PLOS digital health · 2026Article
- AI integration into undergraduate health education streams- a multicenter study in Sri Lanka.BMC medical education · 2026Observational
- Dual dimensions of artificial intelligence use among medical academia: related knowledge, attitudes and ethical concerns, a national survey, 2025.Scientific reports · 2026Article
- Knowledge, attitudes, and practices toward artificial intelligence in medicine among iranian physicians and medical students: a cross-sectional survey.BMC research notes · 2026Article
- Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare.Nursing reports (Pavia, Italy) · 2026Article
- Psychological readiness for AI in health professions education: the role of innovativeness and cognitive flexibility among Turkish students.BMC medical education · 2026Article
- Digital Skills and Readiness of Greek Nurses for Artificial Intelligence Adoption in Clinical Nursing Practice.Nursing reports (Pavia, Italy) · 2026Article
- Factors associated with job finding anxiety among senior health sciences students: the role of attitudes toward artificial intelligence.BMC medical education · 2026Article
- Assessing the level of readiness for digital transformation in medicine: students' perspectives on the use of artificial intelligence in health : a cross-sectional study.BMC medical education · 2026Article
- Article
- Perceived knowledge, attitude, and practice of artificial intelligence among medical students in Guangxi: a cross-sectional study.Frontiers in public health · 2026Article
- The Roles of Artificial Intelligence in Interprofessional Healthcare Education: A Systematic Scoping Review.Journal of multidisciplinary healthcare · 2026Review
- Article
- Knowledge, attitudes, and practices of pharmacy students and graduates regarding artificial intelligence in healthcare: a multi-regional cross-sectional study predominantly from the Asir region of Saudi Arabia.Frontiers in public health · 2026Article
- Utilization, perceived benefits and concerns regarding robotic technologies among community pharmacists.Future science OA · 2025Article
- Bridging gaps in AI-driven cardio-oncology: global advances and Middle East perspectives.Cardio-oncology (London, England) · 2025Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 4 countries.
Funding
Abstract
introductionThe integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions' students in Jordan concerning AI, providing insights into their preparedness and perceptions.
methodsAn online questionnaire was distributed to 483 Jordanian health professions' students via social media. Demographic data, AI-related KAP, and barriers were collected. Quantile regression models analyzed associations between variables and KAP scores.
resultsModerate AI knowledge was observed among participants, with specific understanding of data requirements and barriers. Attitudes varied, combining skepticism about AI replacing human teachers with recognition of its value. While AI tools were used for specific tasks, broader integration in medical education and practice was limited. Barriers included lack of knowledge, access, time constraints, and curriculum gaps.
conclusionsThis study highlights the need to enhance medical education with AI topics and address barriers. Students need to be better prepared for AI integration, in order to enable medical education to harness AI's potential for improved patient care and training.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.