Latest AI and machine learning research in orthopedics for healthcare professionals.
INTRODUCTION: Antimicrobial resistance (AMR) is a global health challenge, and antimicrobial suscept...
Accurate vertebrae segmentation is crucial for modern surgical technologies, and deep learning netwo...
BACKGROUND: Life's Essential 8 (LE8) for assessing cardiovascular health (CVH) has been demonstrated...
This study systematically examined the impact of three feature selection techniques (Boruta, Extreme...
SAPHO syndrome is an inflammatory disorder with bone and cutaneous manifestations, for which whole-b...
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal condition affecting...
BACKGROUND: Planning an osteotomy or arthroplasty surgery on a lower limb requires prior classificat...
The design of continuum robots often involves a dilemma between flexibility and stiffness, where inc...
In recent years, the fusion of the medical and computer science domains has gained significant tract...
BACKGROUND: Branched-chain amino acids (BCAA) metabolism is significantly associated with osteoarthr...
This retrospective study leverages machine learning to determine the optimal timing for fracture rec...
Deep learning (DL) identification of vertebral fractures and osteoporosis in lateral spine radiograp...
Glaucoma is a group of serious eye diseases that can cause incurable blindness. Despite the critical...
BACKGROUND: The application of artificial intelligence (AI) in medical education and patient interac...
BACKGROUND: To develop a predictive model for bone destruction in patients with rheumatoid arthritis...
BACKGROUND: The aim of this study was to compare the performance of artificial intelligence (AI) in ...
Leukemia is a common type of blood cancer marked by the abnormal and uncontrolled proliferation and ...
In this paper, we propose a robust deep learning (DL)-based method for Direction-of-Arrival (DOA) es...
Osteoarthritis (OA) is a prevalent and disabling chronic disease, with knee OA being the most common...
Evaluating bone tunnels is crucial for assessing functional recovery after anterior cruciate ligamen...
Digital pathology has made significant advances in tumor diagnosis and segmentation; however, image ...