ArticlePLOS digital health2024
Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan.
Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- From adoption to interaction: examining human-GenAI engagement patterns, ethical tensions, and educational trade-offs in nursing education.BMC nursing · 2026Article
- Artificial Intelligence Adoption in Healthcare Practice and Research: A Cross-Sectional Study of Knowledge, Attitudes, and Practices in Balochistan, Pakistan.Health science reports · 2026Article
- Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Article
- Knowledge, perception, and attitude of healthcare students towards artificial intelligence: a multi-center cross sectional study.BMC medical education · 2026Article
- Nursing Students' Experiences With Artificial Intelligence: A Qualitative Study on Education, Clinical Practice, and Future Expectations.Journal of evaluation in clinical practice · 2026Article
- Familiarity, attitude and practice of postgraduate health science students of Pakistan regarding the implication of artificial intelligence in research: an analytical survey.BMC medical education · 2026Article
- ChatGPT in healthcare: perceptions, ethical considerations, and practice implications among healthcare professionals in Ecuador and other countries in the Americas: a cross-sectional survey study.Frontiers in digital health · 2026Article
- Assessment of dentists' knowledge, attitude and practice regarding artificial intelligence in periodontics.Bioinformation · 2026Article
- The Roles of Artificial Intelligence in Interprofessional Healthcare Education: A Systematic Scoping Review.Journal of multidisciplinary healthcare · 2026Review
- Perception of artificial intelligence and machine learning applications in the Nigerian healthcare sector: A cross-sectional study.PLOS global public health · 2026Article
- Public attitudes and practices toward using AI chatbots for healthcare assistance: a multinational cross-sectional study.BMC health services research · 2025Article
- Artificial Intelligence in Ophthalmology: Acceptance, Clinical Integration, and Educational Needs in Switzerland.Journal of clinical medicine · 2025Article
- Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan's resource-limited settings.BMC health services research · 2025Article
- Navigating the integration of artificial intelligence in the medical education curriculum: a mixed-methods study exploring the perspectives of medical students and faculty in Pakistan.BMC medical education · 2025Article
- Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.BMC medical education · 2025Article
- Article
- Exploring Faculty Preparedness for Artificial Intelligence-Driven Dental Education: A Multicentre Study.Cureus · 2024Article
- Transforming Nursing Education with Artificial Intelligence: A Systematic Review (2010-2025).SAGE open nursingReview
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of artificial intelligence (AI) technologies has emerged as a promising solution to enhance healthcare efficiency and improve patient outcomes. The objective of this study is to analyse the knowledge, attitudes, and perceptions of healthcare professionals in Pakistan about AI in healthcare. We conducted a cross-sectional study using a questionnaire distributed via Google Forms. This was distributed to healthcare professionals (e.g., doctors, nurses, medical students, and allied healthcare workers) working or studying in Pakistan. Consent was taken from all participants before initiating the questionnaire. The questions were related to participant demographics, basic understanding of AI, AI in education and practice, AI applications in healthcare systems, AI's impact on healthcare professions and the socio-ethical consequences of the use of AI. We analyzed the data using Statistical Package for Social Sciences (SPSS) statistical software, version 26.0. Overall, 616 individuals responded to the survey while n = 610 (99.0%) of respondents consented to participate. The mean age of participants was 32.2 ± 12.5 years. Most of the participants (78.7%, n = 480) had never received any formal sessions or training in AI during their studies/employment. A majority of participants, 70.3% (n = 429), believed that AI would raise more ethical challenges in healthcare. In all, 66.4% (n = 405) of participants believed that AI should be taught at the undergraduate level. The survey suggests that there is insufficient training about AI in healthcare in Pakistan despite the interest of many in this area. Future work in developing a tailored curriculum regarding AI in healthcare will help bridge the gap between the interest in use of AI 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.