Beyond the Binary: Moving the Radiology Workforce Toward Gender Inclusion, From the AJR Special Series on DEI.

Gender representation in radiology has traditionally been evaluated and reported through binary models, accompanied by advocacy efforts focused on increasing the number of women in radiology. A paucity of data exists to understand the entire gender composition of the radiology workforce, including representation of people who are transgender and gender diverse. Further, little information exists on how to provide a supportive work environment for radiologists and support staff who identify as belonging to an underrepresented gender minority group. Intentional efforts to comprehensively understand the gender representation of the radiology workforce can help to establish a diverse workforce that is more representative of the patient populations that we serve, while promoting high-quality inclusive health care. Moving beyond gender binary thought and practices can help foster a culture of inclusion and belonging in radiology. This article provides practical steps that radiology practices can take to understand and support gender diversity beyond the binary in the radiology workforce, including providing definitions and inclusive language, understanding limitations of historical methods of gender data collection in radiology and relevant published literature, establishing best practices for future data collection, and developing a strategic vision with action items to create a more inclusive work environment.

Geometry of abstract learned knowledge in the hippocampus.

Hippocampal neurons encode physical variables1-7 such as space1 or auditory frequency6 in cognitive maps8. In addition, functional magnetic resonance imaging studies in humans have shown that the hippocampus can also encode more abstract, learned variables9-11. However, their integration into existing neural representations of physical variables12,13 is unknown. Here, using two-photon calcium imaging, we show that individual neurons in the dorsal hippocampus jointly encode accumulated evidence with spatial position in mice performing a decision-making task in virtual reality14-16. Nonlinear dimensionality reduction13 showed that population activity was well-described by approximately four to six latent variables, which suggests that neural activity is constrained to a low-dimensional manifold. Within this low-dimensional space, both physical and abstract variables were jointly mapped in an orderly manner, creating a geometric representation that we show is similar across mice. The existence of conjoined cognitive maps suggests that the hippocampus performs a general computation-the creation of task-specific low-dimensional manifolds that contain a geometric representation of learned knowledge.