Computer modeling and validation testing for glenoid component rotation and optimal glenoid screw angles for reverse shoulder arthroplasty in an Asian population.

Purpose: Good initial fixation of glenoid component for reverse total shoulder arthroplasty (RTSA) relies on component placement and screw purchase in the scapula bone. This is especially difficult in an Asian population with small glenoid geometry. Optimal glenoid component roll angle and screw angulation to achieve the longest screws for best fixation has not been defined in the current literature.

Effect of sarcopenia and frailty on outcomes among patients with brain metastases.

Purpose: Sarcopenia and frailty have been associated with increased mortality and duration of hospitalization in cancer. However, data investigating these effects in patients with brain metastases remain limited. This study aimed to investigate the effects of sarcopenia and frailty on clinical outcomes in patients with surgically treated brain metastases.

A Survey of Human Gait-Based Artificial Intelligence Applications.

We performed an electronic database search of published works from 2012 to mid-2021 that focus on human gait studies and apply machine learning techniques. We identified six key applications of machine learning using gait data: 1) Gait analysis where analyzing techniques and certain biomechanical analysis factors are improved by utilizing artificial intelligence algorithms, 2) Health and Wellness, with applications in gait monitoring for abnormal gait detection, recognition of human activities, fall detection and sports performance, 3) Human Pose Tracking using one-person or multi-person tracking and localization systems such as OpenPose, Simultaneous Localization and Mapping (SLAM), etc., 4) Gait-based biometrics with applications in person identification, authentication, and re-identification as well as gender and age recognition 5) "Smart gait" applications ranging from smart socks, shoes, and other wearables to smart homes and smart retail stores that incorporate continuous monitoring and control systems and 6) Animation that reconstructs human motion utilizing gait data, simulation and machine learning techniques.

Relationship between Depressive Symptoms and Cognitive, Psychological, and Physical Performance in Community-Dwelling Older People with Cognitive Impairment.

Introduction: Dementia and depression often coexist. Understanding how concomitant comorbidities affect function can improve assessment and management strategies. We examined the relationship between cognitive, psychological, and physical function and depressive symptoms in people with cognitive impairment.