Job satisfaction declines before retirement in Germany.

Job satisfaction has been found to increase with age. However, we still have a very limited understanding of how job satisfaction changes as people approach retirement. This is important as the years before retirement present specific challenges for older workers.

A French Adaptation and Validation of Retirement Semantic Differential (RSD).

Retirement is associated with numerous representations, some of them being negative and the other positive. Yet, these representations affect the health of individuals in their transition to retirement. However, although the socio-political context in France favors the emergence of numerous representations of retired people, to our knowledge there is no scale validated in French that would allow us to evaluate them.

The Film Room: Using Artificial Intelligence to Facilitate Video Review for Urology Trainees.

Video-based educational programs offer a promising avenue to augment surgical preparation, allow for targeted feedback delivery, and facilitate surgical coaching. Recently, developments in surgical intelligence and computer vision have allowed for automated video annotation and organization, drastically decreasing the manual workload required to implement video-based educational programs. In this article, we outline the development of a novel AI-assisted video forum and describe the early use in surgical education at our institution.

Comparing Frailty Indices for Risk Stratification in Urologic Oncology: Which Index to Choose?

Objective: To compare the predictive ability of the modified Frailty Index (mFI) and the revised Risk Analysis Index (RAI-Rev) for perioperative outcomes in patients undergoing major urologic oncologic surgery, aiming to identify the optimal frailty screening tool for surgical risk stratification.

Methods: NSQIP was queried to identify patients undergoing radical prostatectomy, partial or radical nephrectomy, or radical cystectomy between 2013 and 2017. We investigated the association of mFI and RAI-Rev with the following 30-day perioperative outcomes using multivariable logistic regression: major complications, Clavien grade ≥4 complications, non-home discharge, 30-day readmission, and all-cause mortality.

Artificial intelligence model for automated surgical instrument detection and counting: an experimental proof-of-concept study.

Background: Retained surgical items (RSI) are preventable events that pose a significant risk to patient safety. Current strategies for preventing RSIs rely heavily on manual instrument counting methods, which are prone to human error. This study evaluates the feasibility and performance of a deep learning-based computer vision model for automated surgical tool detection and counting.