ArticleAnnals of medicine and surgery (2012)2022
Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey.
Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 4 of them syntheses that pooled it.
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
100 citing papers in PubMed, 4 syntheses or guidelines pooled it, 185 citations in OpenAlex.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Is it time to introduce an artificial intelligence curriculum in undergraduate medical education? medical students' perspectives: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Medical undergraduate students' readiness and anxiety toward artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2025Pooled it
- Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2024Pooled it
- 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
- Knowledge, attitude, and awareness of artificial intelligence among medical staff in Kabul City.Annals of medicine and surgery (2012) · 2026Article
- Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.BMC medical education · 2026Article
- AI in UK Medical Education: A Framework for Curriculum Reform.JMIR medical education · 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
- Knowledge, Attitude, and Perception of Medical Students Toward AI-Based Learning: A Cross-Sectional Study.Public health challenges · 2026Article
- Changes in artificial intelligence literacy, attitudes, and acceptance following ChatGPT-based training among midwifery students.BMC medical education · 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, and perception of artificial intelligence among medical residents in Oman: readiness for clinical practice.BMC medical education · 2026Article
- A perspective on AI implementation in medical imaging in LMICs: challenges, priorities, and strategies.European radiology · 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
- Exploring the use of AI methods and chatbots in medical education among medical students in Jordan: a cross-sectional study.BMC medical education · 2026Article
- Dental students' knowledge, perceptions, and educational needs regarding artificial intelligence: a multinational cross-sectional survey.BMC medical education · 2026Article
- Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
- Knowledge, Attitude, and Perception of Artificial Intelligence in Healthcare Among Postgraduate Residents: A Cross-sectional Survey.Oman medical journal · 2026Article
- Perception of artificial intelligence and machine learning applications in the Nigerian healthcare sector: A cross-sectional study.PLOS global public health · 2026Article
40 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The use of Artificial intelligence (AI) has gained popularity during the last few decades and its use in medicine is increasing globally. Developing countries like Pakistan are lagging in the implementation of AI-based solutions in healthcare. There is a need to incorporate AI in the health system which may help not only in expediting diagnosis and management but also injudicious resource allocation. Objective: To determine the knowledge, attitude, and practice of AI among doctors and medical students in Pakistan. Materials and methods: We conducted a cross-sectional study using an online questionnaire-based survey regarding demographic details, knowledge, perception, and practice of AI. A sample of 470 individuals including doctors and medical students were selected using the convenient sampling technique. The chi-square test was applied for the comparison of variables. Results: Out of 470 individuals, 223(47.45%) were doctors and 247(52.55%) were medical students. Among these, 165(74%) doctors and 170(68.8%) medical students had a basic knowledge of AI but only 61(27.3%) doctors and 48(19.4%) students were aware of its medical applications. Regarding attitude, 237(76.7%) individuals supported AI's inclusion in curriculum, 368(78.3%) and 305(64.9%), 281(59.8%) and 269(57.2%) acknowledged its necessity in radiology, pathology, and COVID-19 pandemic respectively. Conclusion: The majority of doctors and medical students lack knowledge about AI and its applications, but had a positive view of AI in the field of medicine and were willing to adopt it.
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What OpenQuestion holds
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.