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The relationship between emotional intelligence and work performance among palestinians' midwives in obstetrics and gynecology departments. [PDF]

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Eqtait FA, Ayed AJ, Anabtawi R, Ejheisheh MA, Fashafsheh IH, Batran A, Hammad BM.   +6 more
europepmc   +1 more source

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Sustainability in Obstetrics and Gynecology

Obstetrical & Gynecological Survey, 2023
Health care carbon emissions are a huge contributor to the climate crisis, which negatively affects maternal, fetal, and gynecologic health outcomes. Current practices in the U.S. health care industry drive climate change. This review summarizes the vast
Kelly Wright, Alexandra I. Melnyk, Jordan Emont, J. van Dis   +3 more
semanticscholar   +3 more sources

The Exciting Potential for ChatGPT in Obstetrics and Gynecology.

American Journal of Obstetrics and Gynecology, 2023
Natural Language Processing (NLP) - the branch of artificial intelligence (AI) concerned with the interaction between computers and human language - has advanced markedly in recent years with the introduction of sophisticated deep learning models ...
Amos Grünebaum, J. Chervenak, Susan L. Pollet, A. Katz, F. Chervenak   +4 more
semanticscholar   +1 more source

Diagnostic and Management Performance of ChatGPT in Obstetrics and Gynecology

Gynecologic and Obstetric Investigation, 2023
Objectives: The use of artificial intelligence (AI) in clinical patient management and medical education has been advancing over time. ChatGPT was developed and trained recently, using a large quantity of textual data from the internet.
L. Allahqoli, M. Ghiasvand, A. Mazidimoradi, H. Salehiniya, I. Alkatout   +4 more
semanticscholar   +1 more source

Introduction to Machine Learning in Obstetrics and Gynecology

Obstetrics and Gynecology, 2022
This article reviews the history and applications of artificial intelligence and its capacity to support clinical research and practice in the field of obstetrics and gynecology.
S. Shazly, E. Trabuco, Che Ngufor, A. Famuyide   +3 more
semanticscholar   +1 more source

Increase in Obstetrics and Gynecology Resident Self-Assessed Competence in Early Pregnancy Loss Management With Routine Abortion Care Training

Obstetrics and Gynecology, 2021
Obstetrics and gynecology resident self-assessed competence in and intention to provide each aspect of evidence-based early pregnancy loss care is increased with routine abortion care training.
S. Horvath, J. Turk, J. Steinauer, T. Ogburn, N. Zite   +4 more
semanticscholar   +1 more source

Facilitating an Optimal Transition to Residency in Obstetrics and Gynecology

Obstetrics and Gynecology, 2022
A national curriculum for improving transition to residency in obstetrics and gynecology is presented, including self-directed learning, group workshops, and coaching. The transition to residency in obstetrics and gynecology is difficult, threatening the
A. Winkel, K. George, Sarah Wagner, Zachary J. Schoppen, E. Banks, J. Bienstock, T. Ogburn, D. Marzano, M. Hammoud, H. Morgan   +9 more
semanticscholar   +1 more source

THE TIME IS NOW: ADDRESSING IMPLICIT BIAS IN OBSTETRICS AND GYNECOLOGY EDUCATION.

American Journal of Obstetrics and Gynecology, 2022
Obstetrician-gynecologists can improve the learning environment and patient care by addressing implicit bias. Accumulating evidence demonstrates racial and gender-based discrimination are woven throughout medical education, in formal curricula, patient ...
Celeste S. Royce, H. Morgan, Laura Baecher-Lind, Susan Cox, E. Everett, Angela Fleming, Scott C. Graziano, S. Sims, C. Morosky, Jill M. Sutton, Tammy S. Sonn   +10 more
semanticscholar   +1 more source

Do gender and racial differences exist in letters of recommendation for obstetrics and gynecology residency applicants?

American Journal of Obstetrics and Gynecology, 2021
BACKGROUND Studies in several fields demonstrate gender and racial differences in descriptions of applicants in letters of recommendation. However, gender and racial bias in obstetrics and gynecology residency letters of recommendation are understudied.
O. Brown, T. Mou, Szu-In Lim, Shawn C. T. Jones, Sarit Sade, M. Kwasny, M. Mueller, K. Kenton   +7 more
semanticscholar   +1 more source