Data.xlsx

Dataset on Attitudes of Bangladeshi Medical Students Towards Artificial Intelligence in Medicine and Radiology
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:
Demographics: Age, gender, and self-reported tech-savviness of participants.AI Awareness and Knowledge: Levels of familiarity with AI applications in radiology and medicine and understanding of underlying technologies.Sources of AI Information: Contributions from mass media, social media, formal education, and peer discussions.Attitudes Toward AI: Insights into perceptions of AI's impact on radiology and medicine, concerns about AI replacing physicians, and enthusiasm for AI integration into medical curricula.Statistical Analyses: 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.
Ethics Approval:
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.

File Format:
The dataset is available in XLSX, along with the questionnaire used for data collection.