ArticleHealthcare (Basel, Switzerland)2022
Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 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
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2024Pooled it
- Reconfiguring tutor-peer roles to foster critical thinking in medical PBL assisted by tutor-managed chatGPT.Medical education · 2026Article
- Perceptions, Attitudes, and Use of AI by Medical Students: Mixed Methods Study.JMIR medical education · 2026Article
- Medical students' and faculty members' perceptions and experiences of AI integration in health care practice and in medical curricula: A meta-ethnographic review.Medical education · 2026Review
- From Anatomy to Innovation: Embedding Patient-Centered Design in Medical Education.JMIR medical education · 2026Article
- Digital health literacy in medical education: a scoping review of current challenges and development strategies.BMC medical education · 2026Article
- Artificial intelligence in undergraduate medical education: an updated scoping review.BMC medical education · 2025Article
- The relationship between digital literacy and innovative behavior among Chinese medical students: the chain mediating roles of diversity experience and creative self-efficacy.BMC medical education · 2025Article
- Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study.JMIR medical education · 2025Article
- Perceived artificial intelligence readiness in medical and health sciences education: a survey study of students in Saudi Arabia.BMC medical education · 2025Article
- Opportunities and challenges of integrating digital health into medical education curricula: A scoping review.Research square · 2025Article
- Organizational Leaders' Views on Digital Health Competencies in Medical Education: Qualitative Semistructured Interview Study.JMIR medical education · 2025Article
- Empowering Health Professionals with Digital Skills to Improve Patient Care and Daily Workflows.Healthcare (Basel, Switzerland) · 2025Article
- AI Use or Non-use by First-Year Medical Students: A Qualitative Study of Perspectives, Usage, and Recommendations.MedEdPublish (2016) · 2025Article
- Healthcare workers' knowledge and attitudes regarding artificial intelligence adoption in healthcare: A cross-sectional study.Heliyon · 2024Article
- Virtual dissection applications in learning human anatomy: international medical students' perspectives.BMC medical education · 2024Article
- Article
- Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study.BMC medical ethics · 2024Article
- Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study.Archives of orthopaedic and trauma surgery · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital technologies in health care, including artificial intelligence (AI) and robotics, constantly increase. The aim of this study was to explore attitudes of 2020 medical students’ generation towards various aspects of eHealth technologies with the focus on AI using an exploratory sequential mixed-method analysis. Data from semi-structured interviews with 28 students from five medical faculties were used to construct an online survey send to about 80,000 medical students in Germany. Most students expressed positive attitudes towards digital applications in medicine. Students with a problem-based curriculum (PBC) in contrast to those with a science-based curriculum (SBC) and male undergraduate students think that AI solutions result in better diagnosis than those from physicians (p < 0.001). Male undergraduate students had the most positive view of AI (p < 0.002). Around 38% of the students felt ill-prepared and could not answer AI-related questions because digitization in medicine and AI are not a formal part of the medical curriculum. AI rating regarding the usefulness in diagnostics differed significantly between groups. Higher emphasis in medical curriculum of digital solutions in patient care is postulated.
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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.