Orthopedics

An explainable machine learning model for comorbidity risk stratification in patients with fractures admitted to the intensive care unit: a multicenter study.

BACKGROUND: Among traumatic-fracture patients admitted to intensive care units (ICUs), those with substantial chronic comorbidities recover more slowly and die more often than their counterparts without such conditions. The age-adjusted Charlson Comorbidity Index (aCCI) quantifies this burden, yet clinicians still lack a tool that can identify-at the point of ICU admission-which fracture patients ...

Mandibular Symphysis Bone for Alveolar Grafting: 3D Outcomes and Donor Site Regeneration in Patients With Unilateral Cleft Lip and Alveolus.

ObjectiveThe mandibular symphysis is a donor site for alveolar bone grafting (ABG) in patients with cleft lip and/or palate, offering reduced morbidity. This prospective study evaluated ABG outcomes and donor site regeneration using artificial intelligence (AI)-powered 3-dimensional (3D) tools.DesignProspective study.SettingTertiary-level craniofacial hospital.Patients, ParticipantsTwenty-one pati...

Distinguishing Between Presbycusis and Noise-Induced Hearing Loss With a Joint-Otoacoustic Emission Profile.

OBJECTIVES: The aim of this study was to examine whether a Joint-Otoacoustic Emission (OAE) Profile, a combined analysis of both distortion- and refle...

Ethanol consumption has minimal effects on cancellous bone architecture in femur and lumbar vertebra in two species of non-human primates.

Alcohol abuse is a risk factor for atraumatic fractures. Our previous work using a non-human primate model of voluntary ethanol consumption showed tha...

Age at Periacetabular Osteotomy Does Not Reduce the Likelihood of Excellent 20-Year Patient-Reported Outcomes in Native Hips: A K-Means Clustering Analysis.

BACKGROUND: Periacetabular osteotomy (PAO) is widely used to treat symptomatic hip dysplasia; however, the long-term effect of age at PAO on patient-r...

Digital Eye: Deep Learning for Detecting Physeal Fractures of the Pediatric Distal Radius.

BACKGROUND: Distal radial fractures (DRFs) are some of the most common pediatric injuries, often involving the physis. Diagnostic accuracy can be chal...

Combination of artificial intelligence and chest computed tomography to assess bone mineral density.

OBJECTIVES: To evaluate the diagnostic accuracy of artificial intelligence-assisted opportunistic chest CT for osteoporosis/osteopenia screening in a ...

Precision medicine in orthopaedics: A review of current technologies and future directions.

PURPOSE: To synthesise the paradigm shift towards precision medicine in orthopaedics, where individual anatomical, biomechanical, molecular and kinema...

Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.

OBJECTIVES: To develop and do multicenter validation on an algorithm that screens for osteoporosis from abdominal CTs. METHODS: This is a diagnostic a...

Artificial intelligence to automatically identify reverse shoulder arthroplasty implant brands on postoperative radiographs including uncertainty quantification.

BACKGROUND: Identifying the brand of reverse shoulder arthroplasty (rTSA) implanted is key in the postoperative evaluation of patients, a process that...

AI-Quantified ¹¹C-MET PET/CT bone marrow metabolic activity for prognostic assessment in newly diagnosed multiple myeloma.

PURPOSE: To develop and validate an AI method for automated quantification of whole-skeleton bone marrow (BM) metabolic activity using Carbon 11 (11C)...

Synovial exosomal type II collagen as a biomarker for osteoarthritis Progression: From molecular evaluation to AI-powered SERS-based diagnosis.

Osteoarthritis (OA) is a degenerative joint disease which lacks reliable biomarkers for monitoring disease progression. Current assessment methods rel...

Joint Associations of Intensity-Specific Physical Activity and Adiposity With Incident Microvascular Disease Among Prediabetes: A Prospective Cohort Study.

BACKGROUND: To examine the independent, stratified, and joint associations of physical activity (PA) and adiposity with microvascular diseases (MVDs) ...

Artificial Intelligence and Machine Learning for Osteoarthritis and Cartilage Assessment.

Osteoarthritis (OA) affects over 500 million people globally and poses diagnostic and management challenges due to its complex pathophysiology. Artifi...

Unraveling the shared genetic architecture of osteoarthritis and metabolic traits through multi-omics insights.

OBJECTIVE: Osteoarthritis (OA) often coexists with metabolic traits (MTs), causing significant disability. Our study aims to uncover the shared geneti...

Artificial intelligence, machine learning and omic data integration in osteoarthritis.

OBJECTIVE: Artificial intelligence (AI), particularly its subfield of machine learning (ML), offer promising tools for integrating and interpreting hi...

Small language models: The big play for agentic artificial intelligence in orthopaedics.

While the integration of artificial intelligence in orthopedics is accelerating, the focus has largely been on powerful but resource-intensive Large L...

Swin-EffuseNet: A dual-stream attention-based model combining Swin transformer V2 and EfficientNet-BO for bone fracture classification.

CONTEXT: Bone fractures are among the most common musculoskeletal injuries and require timely, accurate diagnosis to ensure effective treatment and pr...

Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation.

Dynamic magnetic resonance imaging (MRI) often encounters a trade-off between spatial and temporal resolutions due to slow data acquisition, particula...

Beyond self-reports after anterior cruciate ligament injury - machine learning methods for classifying and identifying movement patterns related to fear of re-injury.

Anterior cruciate ligament (ACL) tears are prevalent career-ending sports injuries. A barrier to successful return to activity is fear of re-injury. E...