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Kirsten Brown

Biographic Data

ID9089231
NAMEKirsten Brown
GIVEN NAMESKirsten
FAMILY NAMEBrown
SIGNATUREBROWN K
AFFILIATIONSGeorge Washington University
ORCID0000-0001-9425-7672
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS7
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX1
  • An audit of AI-related documents across U.S. medical schools

    Emily Rush, Jessica N Byram et al.•ARTICLE•Medical Teacher•2026

    Purpose Medical schools would benefit from systematic guidance for developing comprehensive artificial intelligence (AI) policies, given generative AI’s rapid integration into medical education. This study developed and applied an idealized AI policy framework to analyze AI-related documents at U.S. medical school institutions, providing reference points for the development and refinement of institutional policies.Methods AI-related documents fro…

  • Cripping narrative

    Pietro A Sasso, Kirsten R Brown et al.•ARTICLE•Journal of Diversity in Higher…•2025

  • Faculty and Student Perceptions of Unauthorized Collaborations in the Preclinical Curriculum

    Open Access•H Carrie Chen, Kirsten Brown et al.•ARTICLE•Academic Medicine•2023

  • Selective pressures in the human bony pelvis

    Open Access•Kirsten M Brown, Kirsten Brown•ARTICLE•American Journal of Physical…•2015•Cited by: 7•References: 88

    OBJECTIVES: Sexual dimorphism in the human bony pelvis is commonly assumed to be related to the intensity of obstetrical selective pressures. With intense obstetrical selective pressures, there should be greater shape dimorphism; with minimal obstetrical selective pressures, there should be reduced shape dimorphism. This pattern is seen in the nondimorphic anterior spaces and highly dimorphic posterior spaces. Decoupling sexual dimorphism in thes…

  • Selective pressures in the human bony pelvis

    Open Access•Kirsten M Brown, Kirsten Brown•ARTICLE•American Journal of Physical…•2015•Cited by: 7•References: 88

    OBJECTIVES: Sexual dimorphism in the human bony pelvis is commonly assumed to be related to the intensity of obstetrical selective pressures. With intense obstetrical selective pressures, there should be greater shape dimorphism; with minimal obstetrical selective pressures, there should be reduced shape dimorphism. This pattern is seen in the nondimorphic anterior spaces and highly dimorphic posterior spaces. Decoupling sexual dimorphism in thes…

  • Selective pressures in the human bony pelvis

    Open Access•Kirsten M Brown, Kirsten Brown•ARTICLE•American Journal of Physical…•2015•Cited by: 7•References: 88

    OBJECTIVES: Sexual dimorphism in the human bony pelvis is commonly assumed to be related to the intensity of obstetrical selective pressures. With intense obstetrical selective pressures, there should be greater shape dimorphism; with minimal obstetrical selective pressures, there should be reduced shape dimorphism. This pattern is seen in the nondimorphic anterior spaces and highly dimorphic posterior spaces. Decoupling sexual dimorphism in thes…

  • Faculty and Student Perceptions of Unauthorized Collaborations in the Preclinical Curriculum

    Open Access•H Carrie Chen, Kirsten Brown et al.•ARTICLE•Academic Medicine•2023

  • Cripping narrative

    Pietro A Sasso, Kirsten R Brown et al.•ARTICLE•Journal of Diversity in Higher…•2025

  • An audit of AI-related documents across U.S. medical schools

    Emily Rush, Jessica N Byram et al.•ARTICLE•Medical Teacher•2026

    Purpose Medical schools would benefit from systematic guidance for developing comprehensive artificial intelligence (AI) policies, given generative AI’s rapid integration into medical education. This study developed and applied an idealized AI policy framework to analyze AI-related documents at U.S. medical school institutions, providing reference points for the development and refinement of institutional policies.Methods AI-related documents fro…

Medicine (2 works) · Pedagogy (2 works) · Psychology (2 works) · Allometry (1 works) · Anatomy (1 works) · Anatomy (1 works) · Art (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Audit (1 works) · Balance (ability) (1 works)

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