Article Summary
A European Society of Radiology survey of 657 radiologists found that despite improvements, women continue to face significant gender disparities in radiology, including barriers to leadership positions, research opportunities, and career satisfaction, though regional variation suggests targeted institutional changes could help address these gaps.
- 44.5% of women reported gender as a career disadvantage compared to 9.5% of men, a 35-percentage-point gap
- Nearly half of women (47.2%) work more than 30% extra hours versus 29% of men
- Women report greater barriers to attending conferences and lack of protected research time, affecting long-term academic careers
- Men hold a disproportionate share of leadership positions in radiology departments
- Geographic variation across Europe suggests workplace culture and institutional policies can be modified to improve gender equity
Despite improvements over recent decades, gender disparities remain present in radiology, particularly in access to leadership, working conditions, and career satisfaction, according to a survey conducted by the European Society of Radiology (ESR).
The findings, published in Insights into Imaging, align with results from other national and subspecialty surveys, suggesting the pattern is not confined to a single country or field.
Importantly, the authors found variability between geographical regions within Europe, which they said points to specific areas that could be addressed to support a more equitable professional environment.
Perceived disadvantage and extra hours
A team led by Dr. Anna D'Angelo of Fondazione Policlinico Universitario Agostino Gemelli IRCCS in Rome, Italy, distributed an anonymous online survey comprising 22 questions to ESR members between October and December 2024. The questionnaire covered demographics, work schedules, family responsibilities, career development, leadership roles, research involvement, and personal experiences related to gender equity.
Perceived career achievement by age group and gender. The graphic shows perceived satisfaction with their career achievement of the respondents stratified by age (x-axis) and gender.ESR
A total of 830 radiologists responded, with 657 completing the questionnaire. Among those who completed the survey, 63.3% were women, 35.3% were men, and 1.3% identified otherwise.
The largest gender difference concerned career perceptions. Nearly half of women (44.5%) reported that their gender had been a disadvantage during their career, compared with only 9.5% of men (p < 0.0001), representing a difference of 35 percentage points (95% confidence interval: 28.9-41.1).
Working patterns also differed. Almost half of women (47.2%) reported working more than 30% extra hours, compared with 29% of men.
Research barriers may shape long-term careers
Research activity showed a more nuanced picture. Overall participation in research was similar between men and women. However, women more frequently reported barriers to attending scientific conferences and a lack of protected research time, factors that may affect long-term academic development.
Career fulfillment also showed opposite trends with age. Among male respondents, satisfaction increased over time, whereas it declined among women.
Leadership positions likewise remained unevenly distributed, with men holding a greater proportion of leadership roles than women.
Echoes of earlier findings
The survey extends a pattern documented in previous studies. A 2019 international survey of 858 radiology trainees, also published in Insights into Imaging, found that fewer women participated in research during residency (44.3% versus 59.4%, p ≤ 0.0001). In addition, 24.3% of women identified gender as a barrier to research, compared with 6.8% of men (p < 0.0001).
More recently, a 2024 survey by the Radiological Society of Finland involving 259 radiologists and residents identified gender as the most frequently perceived basis for workplace discrimination.
Geographical variation as one of most important findings
The survey assessed respondents' perceptions rather than objective career outcomes and therefore shares the limitations common to voluntary online surveys, including the potential for response bias.
Nevertheless, the authors highlighted the geographical variation observed across Europe as one of the study's most important findings.
Differences between regions suggest that workplace culture, institutional policies, and organizational practices may influence gender equity, indicating that targeted measures by departments, hospitals, and professional societies could help foster a more equitable and supportive professional environment.
The full study can be found here.


![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)







![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)










