Article

Assessing the level of readiness for digital transformation in medicine: Students of Ahvaz Jundishapur University of Medical Sciences for the use of artificial intelligence in health

2025-09-02

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Artificial intelligence (AI) is rapidly transforming healthcare by enhancing diagnostic accuracy, enabling personalized treatments, and improving patient outcomes. Medical students, as future healthcare providers and primary AI users, require adequate knowledge and readiness to integrate AI effectively in clinical practice. Despite growing global interest, lit...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: 30b7b5e1-176d-503f-8754-d2ec783e6196
DOI: 10.21203/rs.3.rs-7313375/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Assessing the level of readiness for digital transformation in medicine: Students of Ahvaz Jundishapur University of Medical Sciences for the use of artificial intelligence in healthDOI 10.21203/rs.3.rs-7313375/v1Read

Attitudes and Readiness of Medical Students in Iraq towards Artificial Intelligence: A Cross-Sectional Study.Semantic proximity Read

Readiness and Perceptions toward Artificial Intelligence among medical students in EgyptSemantic proximity Read

Attitude, awareness, and understanding of Artificial Intelligence AI among medical and dental students in Jordan: a cross-sectional studySemantic proximity Read

Perception and Practices of Artificial Intelligence for Medical Education Among Medical Students: A Cross-Sectional StudySemantic proximity Read

Assessing Awareness of Ethical Utilization of Artificial Intelligence in Education Insights from Faculty Staff and Medical StudentsSemantic proximity Read

Artificial intelligence use, perceptions, and educational needs among medical undergraduates at a Sri Lankan medical faculty: A cross-sectional surveySemantic proximity Read

Acceptance of Artificial Intelligence in Medical Practice Among Iranian Physicians and Medical Students: A Cross-Sectional SurveySemantic proximity Read

Artificial Intelligence in Medical Education: Current Applications and a Proposed Comprehensive Integration FrameworkSemantic proximity Read

Patient Attitudes Toward Artificial Intelligence in Jordanian Healthcare: A Cross-Sectional Survey StudySemantic proximity Read

Bridging the AI Gap in Medical Education: The Current Landscape and Proposed Tiered FrameworkSemantic proximity Read

Modern Artificial Intelligence and Large Language Models in Graduate Medical Education: A Scoping Review of Attitudes, Applications & PracticeSemantic proximity Read

Multinational attitudes towards AI in healthcare and diagnostics among hospital patientsSemantic proximity Read