AI worries deter some medical students from pursuing careers in radiology
New survey data suggest that artificial intelligence continues to play a role in the specialty medical students choose to pursue.
Responses from a group of more than 400 medical students indicate that around one-third of respondents are at least somewhat deterred from pursuing radiology due to AI-related concerns. Despite this, the majority expressed optimism for how the use of AI can improve the field.
These conflicting viewpoints further emphasize the importance of how AI is implemented across imaging in the coming years, experts wrote in Academic Radiology.
“Despite these advantages, the rapid adoption of AI in radiology has also sparked substantial debate, with both strongly optimistic and skeptical views being expressed. AI-assisted mammography, for example, enhances diagnostic performance and many radiologists believe AI will shift their roles towards clinical responsibilities rather than replace them,” Pascal N. Tyrrell, PhD, with the department of imaging at University of Toronto, and colleagues explained. “Others fear that as AI technology advances, it may lead to a reduced demand for radiologists, altering traditional job structures. Concerns also extend to the risk of increased burnout due to higher expectations for AI integration, as well as uncertainties regarding the long-term impact on the profession.”
The survey took into account what year the medical students were in, as well as the specialty they preferred when beginning their medical education. Its questions gauged respondents’ understanding of AI, how they believed it would affect their specialty and whether the use of AI influenced their career and educational choices.
The results were mixed, with around 33% indicating that the use of AI had no influence on their interest in radiology and another 30% expressing feelings of discouragement related to its use. Very few described AI as “extremely influential” in their decision to pursue a specialty, but this answer was significantly more common among those who chose radiology. Those uninterested in imaging were more likely to perceive its implementation as a career threat as well.
“Medical students’ perceptions of AI are largely shaped by external narratives, including media discourse, during a sensitive time in their careers, making them hypersensitive to the dystopian views built around AI and radiology. Nevertheless, AI-savvy students, despite reporting feeling more discouraged, were more likely to consider radiology as a speciality choice regardless,” the authors noted. “This implies that even though AI-savvy students are more discouraged from pursuing radiology due to AI uncertainty, they simultaneously believe that it will be used as a tool to improve efficiency and are generally more interested in radiology at baseline.”
The group added that their findings highlight the need to incorporate AI-related content into students’ curriculum early into their medical education to proactively address misconceptions.
Read more about the findings here.
In addition to her background in journalism, Hannah also has patient-facing experience in clinical settings, having spent more than 12 years working as a registered rad tech. She began covering the medical imaging industry for Innovate Healthcare in 2021.