Study Objective: To describe and validate the Pelv-Sim trainer, an innovative training model for gynecologic laparoscopic suturing with 4 laparoscopic exercises: closing an open vaginal cuff, transposing an ovary to the pelvic sidewall, ligating an infundibulopelvic ligament, and closing a port-site fascial incision.
Design: Randomized controlled trial (Canadian Task Force classification I).
Setting: Academic medical center.
Participants: Obstetrics and gynecology residents (n = 19) and third-year medical students (n = 10).
Interventions: To test the Pelv-Sim model for construct validity, all participants were timed as they completed the 4 tasks, and their performances were compared. The residents were then randomized to a study group asked to train with the Pelv-Sim for 1 hour/week for 10 weeks, or to a control group. To evaluate the effectiveness of training with the Pelv-Sim model, both groups of residents were retested at the end of the 10-week study period. Pretraining and posttraining performances were compared within each group.
Measurements And Main Results: Before the intervention, the residents completed all 4 tasks in significantly less time than the medical students (all p values
Conclusion: Construct validity was shown for all 4 Pelv-Sim simulation tasks. Resident training improves performance on the vaginal cuff closure and ovary transposition tasks. The Pelv-Sim has the potential to be a valuable tool in laparoscopic training for gynecology residents.
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http://dx.doi.org/10.1016/j.jmig.2008.08.004 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFSyst Biol Reprod Med
December 2025
Department of Biosciences and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
January 2025
Division of Molecular Psychiatry, Center of Mental Health, University of Hospital Würzburg, 97080 Würzburg, Germany.
Background: The inheritance of the short allele, encoding the serotonin transporter (SERT) in humans, increases susceptibility to neuropsychiatric and metabolic disorders, with aging and female sex further exacerbating these conditions. Both central and peripheral mechanisms of the compromised serotonin (5-HT) system play crucial roles in this context. Previous studies on SERT-deficient (Sert) mice, which model human SERT deficiency, have demonstrated emotional and metabolic disturbances, exacerbated by exposure to a high-fat Western diet (WD).
View Article and Find Full Text PDFPharm Biol
December 2025
The Affiliated Hospital, Changchun University of Chinese Medicine, Changchun, China.
Context: The decline in ovarian reserve is a major concern in female reproductive health, often associated with oxidative stress and mitochondrial dysfunction. Although ginsenoside Rg1 is known to modulate mitophagy, its effectiveness in mitigating ovarian reserve decline remains unclear.
Objective: To investigate the role of ginsenoside Rg1 in promoting mitophagy to preserve ovarian reserve.
Aesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
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