Publications by authors named "U Ghaffar"
Formative verbal feedback during live surgery is essential for adjusting trainee behavior and accelerating skill acquisition. Despite its importance, understanding optimal feedback is challenging due to the difficulty of capturing and categorizing feedback at scale. We propose a Human-AI Collaborative Refinement Process that uses unsupervised machine learning (Topic Modeling) with human refinement to discover feedback categories from surgical transcripts.
View Article and Find Full Text PDFImportance: Although prostate-specific membrane antigen positron emission tomography (PSMA-PET) has shown improved sensitivity and specificity compared with conventional imaging for the detection of biochemical recurrent (BCR) prostate cancer, the long-term outcomes of a widespread shift in imaging are unknown.
Objective: To estimate long-term outcomes of integrating PSMA-PET into the staging pathway for recurrent prostate cancer.
Design, Setting, And Participants: This decision analytic modeling study simulated outcomes for patients with BCR following initial definitive local therapy.
Background: Consumer product-related genital injuries in females across all age groups are understudied. Existing research focuses primarily on paediatric populations. We aimed to determine characteristics, trends and predictors of hospitalisation.
View Article and Find Full Text PDFArticle Synopsis
- The study analyzed data from the National Trauma Databank (2017-2020) to understand the characteristics of genitourinary self-inflicted injuries (GU SII) and compare differences between genders.
- Out of 56,463 SII cases, 1508 (2.7%) involved GU injuries, with a majority being young white males (77.3%), and kidney injuries were the most common.
- Many patients had pre-existing mental health issues (54.9%), and despite a high survival rate, 15.4% of cases were fatal, particularly those with kidney injuries and other non-GU injuries.
Article Synopsis
- The study compares Fournier gangrene between female and male patients, using data from the National Inpatient Sample from 2016 to 2020, to identify factors related to mortality in both groups.
- It found that a higher percentage of females (7.1%) died from the condition compared to males (5.7%), and that females experienced longer hospital stays and more severe complications.
- Key factors affecting mortality included the time until initial treatment and race, with diabetes found to lower mortality odds for both genders, highlighting the need for timely intervention in female patients.