Data.xlsx

<b>Dataset on Attitudes of Bangladeshi Medical Students Towards Artificial Intelligence in Medicine and Radiology</b>This dataset is part of a study examining the knowledge, perceptions, and attitudes of Bangladeshi undergraduate medical students towards artificial intelligence (AI) applications in medicine and radiology. The data was collected through a web-based cross-sectional survey conducted between September 7 and October 14, 2024. A structured questionnaire was designed to assess various aspects, including demographic details, familiarity with AI technologies, sources of AI-related knowledge, and attitudes toward AI's role in healthcare.Key features of the dataset include:<b>Demographics:</b> Age, gender, and self-reported tech-savviness of participants.<b>AI Awareness and Knowledge:</b> Levels of familiarity with AI applications in radiology and medicine and understanding of underlying technologies.<b>Sources of AI Information:</b> Contributions from mass media, social media, formal education, and peer discussions.<b>Attitudes Toward AI:</b> Insights into perceptions of AI's impact on radiology and medicine, concerns about AI replacing physicians, and enthusiasm for AI integration into medical curricula.<b>Statistical Analyses:</b> Results of subgroup comparisons (e.g., by gender and tech-savviness) and Likert-scale responses.The dataset provides comprehensive information on 330 participants, offering valuable insights for researchers, educators, and policymakers interested in AI adoption in medical education and healthcare.<b>Ethics Approval:</b><br>The study received approval from the FSIT Research Ethics Committee, Daffodil International University (Code: DIU/DoR/2023/11/1). Participation was voluntary, with informed consent obtained.<br><b>File Format:</b><br>The dataset is available in XLSX, along with the questionnaire used for data collection.