Latest AI and machine learning research in orthopedics for healthcare professionals.
AIM: Osteoporosis (OP) is a prevalent metabolic bone disease causing millions of fractures annually, leading to significant healthcare and economic burdens. Early diagnosis and intervention are critical, particularly among postmenopausal women and the elderly. Traditional bone mineral density tests, while useful, are limited in predicting fracture risk and are not always accessible. This review su...
Reliable prediction of SWI is essential for protecting coastal groundwater. In this study, the SWI wedge length in a sloping coastal aquifer controlled by groundwater abstraction and a fractured underground dam is estimated. To achieve this, a dataset consisting of eight dimensionless inputs, derived from prior SEAWAT numerical scenarios, was used to train six machine learning models (linear, nonl...
Although the molecular regulation of hematopoiesis is well characterized, the spatial organization of hematopoietic cells within bone marrow (BM) rema...
The incidence of spinal diseases is rising and affecting younger people, making early and accurate diagnosis based on medical imaging crucial for trea...
BACKGROUND: Individuals with patellar tendinopathy often exhibit impaired proprioception, which may contribute to symptom persistence and injury recur...
PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in volume and intrinsic tissue characteristics in an o...
Early detection of arthritis in autoimmune rheumatic diseases (ARDs) is critical to prevent irreversible damage. Joint ultrasound (US) offers high sen...
Mapping behavior of individual vertebrate animals across lifespan could provide an unprecedented view into the lifelong process of aging. We created a...
BACKGROUND: Single-leg squat (SLS) performance is widely used to screen functional movement quality, but practical assessment often relies on expert v...
Clinical endocrinology relies critically on high-quality biochemical data for diagnosis, therapeutic decisions, and long-term patient monitoring. As e...
Bone fracture diagnosis is a critical aspect of sports medicine, where accurate and timely detection enables effective treatment and rapid recovery. T...
OBJECTIVE: Generative artificial intelligence (GenAI) is a transformative tool capable of producing realistic synthetic data, modeling complex data, a...
BACKGROUND: Patients undergoing anterior cruciate ligament reconstruction (ACLR) are at high risk of osteoarthritis or secondary injuries, with abnorm...
AIMS: This study examines the ability of YOLO (You Only Look Once) 11x, a widely used and state of the art object detection model, trained on publicly...
The study aims to develop and externally test a deep learning (DL) model using CT images for automatic classification of intervertebral disc degenerat...
Joint actions among humans rely on the integration of multiple sensory modalities, most notably auditory and visual cues, which support explicit commu...
BACKGROUND: Low back pain (LBP) is a leading cause of disability worldwide, affecting people of all ages while showing increasing prevalence among you...
OBJECTIVE: To develop and evaluate an automated framework for full-mouth quantification of radiographic alveolar bone loss (ABL) on panoramic radiogra...
Accurate species identification of meat and bone meal (MBM) is a regulatory requirement in many jurisdictions to prevent intra-species recycling (cann...
The usage of artificial intelligence and machine learning has significantly strengthened computer-aided medical diagnostics, and fine-tuning models an...