Factors Influencing the Interest in Radiology Among Medical Students, Residents, and Physicians: The Role of Artificial Intelligence
Radiology is a medical specialty that is becoming increasingly significant due to technological progress, particularly the development of artificial intelligence (AI). However, students’ and doctors’ perceptions of this field are influenced by various factors that can shape their professional choices. This study set out to understand how students, residents, and radiologists themselves view radiology as a specialty and to determine what role AI plays in their decision-making process. The study was conducted over three months, from October 2023 to January 2024, with a total of 182 respondents participating. These included 98 medical students, 33 radiology residents, and 51 practicing radiologists. Data were collected through an anonymous questionnaire tailored to each group. The responses were analyzed using statistical methods to identify patterns and significant associations. The findings revealed that students most valued flexibility in work schedules and the possibility of remote work or employment abroad. However, 70.4% stated that they did not see radiology as their future profession. Residents highlighted subspecialization opportunities and the growing impact of AI on reducing diagnostic errors. Practicing radiologists placed emphasis on salary prospects, compatibility with personal preferences, and limited direct patient contact. Although AI is seen positively across all groups, students were the least likely to consider its development as a decisive factor when choosing radiology. In contrast, residents and doctors increasingly recognized AI’s potential to support diagnostic processes and reduce human error. The results suggest that medical schools and residency programs should place greater emphasis on radiology’s technological advancements and practical applications to better align students’ perceptions with the reality of the specialty. More practical exposure to radiology and its integration with AI could enhance its appeal to future healthcare professionals.
Authors
- Lina Padervinskienė (ORCID: https://orcid.org/0000-0003-3020-2810)
- Martynas Zubrickas
- Eglė Pušinaitytė
Publication Details
- Journal
- Lithuanian University of Health Sciences
- Published
- 2025-06-06
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00