Publications by authors named "S Galhotra"
Chronic Disseminated Coccidioidomycosis Presenting as Infertility.
J Minim Invasive Gynecol
October 2024
Impact of pneumoperitoneum pressure during laparoscopic hysterectomy: A randomized controlled trial.
Eur J Obstet Gynecol Reprod Biol
January 2023
Article Synopsis
- Minimally invasive hysterectomy is a common procedure often treated with opioids for postoperative pain, but uncontrolled pain can lead to various negative outcomes like increased opioid use and longer hospital stays.
- A pilot study tested the effects of lowering pneumoperitoneum insufflation pressures (from 15 mmHg to 12 and 10 mmHg) on surgeon satisfaction during laparoscopic hysterectomy, involving 40 patients in a randomized controlled trial.
- Results showed that lower pneumoperitoneum pressures (especially 10 mmHg) negatively affected surgeon satisfaction and quality of visualization, although patient satisfaction and other postoperative factors like opioid usage were not significantly impacted.
Study Objective: To identify the relationship between patient position during surgery and time to confirmation of ureteral patency on cystoscopy.
Design: Randomized controlled trial.
Setting: Academic tertiary care medical center.
The surgical gender gap: the impact of surgeon gender in medicine and gynecologic surgery.
Curr Opin Obstet Gynecol
August 2022
Purpose Of Review: The purpose of this review is to summarize the current literature evaluating the effect of surgeon gender on patient outcomes and satisfaction, and the impact of gender bias on female surgeons.
Recent Findings: The proportion of female physicians has increased in recent years, especially in Obstetrics and Gynecology. Recent literature assessing this impact supports equivalent or superior medical and surgical outcomes for women surgeons and physicians.
The deployment of machine learning (ML) systems in applications with societal impact has motivated the study of fairness for marginalized groups. Often, the protected attribute is absent from the training dataset for legal reasons. However, datasets still contain proxy attributes that capture protected information and can inject unfairness in the ML model.
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