The clinical and functional outcomes of closed reduction and arthroscopic McLaughlin procedure in patients with neglected locked posterior shoulder dislocation.

Introduction: Posterior shoulder dislocation with a reverse Hill-Sachs lesion is a rare and complex injury, requiring specialized treatment due to the difficulty in diagnosis, reduction, and addressing both sides of the pathology to reduce the potential for recurrent dislocation.

Purpose: To evaluate the clinical and functional outcomes of closed reduction and arthroscopic McLaughlin procedure with posterior labral repair in patients with neglected locked posterior shoulder dislocation for less than 12 weeks.

Methods: A prospective study was conducted at university hospitals, managing 15 patients with neglected locked posterior shoulder dislocation for less than 12 weeks and concomitant engaging reverse Hill-Sachs lesions of less than 40% of the humeral articular surface.

Flexible versus Rigid Bronchoscopy for Tracheobronchial Foreign Body Removal in Children: A Comparative Systematic Review and Meta-Analysis.

The removal of foreign bodies (FBs) from the airways of children is a critical procedure that can avert serious complications. While both flexible and rigid bronchoscopy techniques are employed for this purpose, their comparative efficacy and safety remain subjects of debate. Therefore, we conducted this investigation to compare between both procedures.

Is Piezosurgery Associated with Improved Patient Outcomes Compared to Conventional Osteotomy in Rhinoplasty? A Systematic Review and Meta-Analysis of RCTs.

Rhinoplasty is a common plastic surgery procedure with evolving surgical techniques. This systematic review and meta-analysis compares the outcomes of piezosurgery versus conventional osteotomy in rhinoplasty. A comprehensive search of six databases yielded 12 randomized controlled trials (RCTs) comparing piezosurgery (292 cases) to conventional osteotomy (338 cases) in rhinoplasty patients.

Real time adaptive probabilistic recurrent Takagi-Sugeno-Kang fuzzy neural network proportional-integral-derivative controller for nonlinear systems.

This paper presents an adaptive probabilistic recurrent Takagi-Sugeno-Kang fuzzy neural PID controller for handling the problems of uncertainties in nonlinear systems. The proposed controller combines probabilistic processing with a Takagi-Sugeno-Kang fuzzy neural system to proficiently address stochastic uncertainties in controlled systems. The stability of the controlled system is ensured through the utilization of Lyapunov function to adjust the controller parameters.