Orthopedics

SR-FTIR spectroscopy combined with machine learning reveals the alterations of biochemical composition in tendinopathy.

Tendinopathy is a musculoskeletal disorder characterized by pathological extracellular matrix remodeling, yet the associated biochemical alterations remain incompletely understood. In this study, SR-FTIR microspectroscopy was employed to investigate compositional changes in a mouse model of Achilles tendinopathy. A total of 1330 spectra were collected from normal and diseased tendon tissues across...

Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even in the absence of vertebral fractures, suggesting the involvement of central neuroinflammatory mechanisms. The activation of spinal glia has been implicated as a key driver of pain. Clinical and preclinical studies have also shown that teriparatide (TPTD), a bone anabolic drug, alleviates osteoporoti...

Convolutional neural networks in paediatric fracture detection: pooled evidence from a systematic review and meta-analysis.

OBJECTIVE: The objective of this review was to systematically evaluate the diagnostic accuracy of artificial intelligence (AI) models for detecting pa...

The most important features in generalized additive models might be groups of features.

While analyzing the importance of features has become ubiquitous in interpretable machine learning, the joint signal from a group of related features ...

Concordance of ChatGPT, Gemini, Claude, and OpenEvidence with the 2024 AAOS guidelines on acute isolated meniscal pathology.

PURPOSE: To evaluate the reliability and clinical applicability of the three most commonly used large language models (LLMs) (ChatGPT, Gemini, and Cla...

Advances in Imaging-Based Fracture Risk Assessment for Unlocking Latent Skeletal Fragility.

From "high AUC" to evidentiary reliability: audit-ready deployment standards for deep-learning rib-fracture detection in postmortem CT.

Prediction of femoral shaft fracture healing and clinical decision support through integration of mechano-biological modeling and machine learning.

BACKGROUND AND OBJECTIVES: Current clinical practice in preoperative planning for femoral shaft fractures lacks tools capable of quantitatively predic...

Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases.

PURPOSE: The development of digital technologies and artificial intelligence (AI) in healthcare has highlighted the need for patients to improve digit...

Chronic phase of Chikungunya: understanding the impact of joint pain using data science and artificial intelligence.

BACKGROUND: Chikungunya is an arbovirus capable of affecting the musculoskeletal system of infected individuals. Furthermore, it has the potential to ...

Longitudinal Investigation of Postural Strategies Associated with Improvement in Gait Speed Following Adult Spinal Deformity Surgery using Machine Learning.

STUDY DESIGN: Retrospective longitudinal cohort study. OBJECTIVE: To identify postural strategies associated with improvement in gait speed following ...

3D human pose keypoints and corresponding joint angle calculation for vision-based WMSD risk assessments.

Vision-based pose estimation, which can utilise ordinary videos, has been applied to assess work-related musculoskeletal disorder (WMSD) risks as a le...

The Influence of the COVID-19 Pandemic on Current Teaching Methods, Training, and Perception among Romanian Surgery-Oriented Students: Observational, Cross-Sectional Multicentric Study.

BACKGROUND: The COVID-19 pandemic prompted rapid changes in medical education, accelerating the adoption of online and distance learning methods as al...

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-risk, complex populations like postmenopausal wome...

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

BACKGROUND: Artificial intelligence (AI) has shown promise for automating spinal alignment assessment in adolescent idiopathic scoliosis (AIS). Howeve...

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

The United States health insurance system is at a critical crossroads. Inflating costs, fragmented care, and administrative inefficiencies have reveal...

Comparing large language models and human experts in interpreting MRI reports for personalized patient education.

RATIONALE AND OBJECTIVES: Knee osteoarthritis (OA) is a prevalent global condition. While MRI guides clinical decisions, its technical complexity hind...

Advancing diagnostic equity through artificial intelligence chest radiograph screening for osteoporosis in Asian populations.

Early identification of abnormal bone mineral density (BMD) through opportunistic screening is critical for preventing osteoporotic fractures. We vali...

Enhancing automated fracture detection in paediatric wrist X-rays with paired and unpaired cast suppression methods.

PURPOSE: Casts in follow-up wrist X-rays reduce diagnostic image quality, complicating the assessment of fracture healing. This study developed cast s...

DeepSeek-R1 performance in fusion planning of adolescent idiopathic scoliosis: A preliminary study.

BACKGROUND: Surgical planning for adolescent idiopathic scoliosis (AIS) is complex. Large language models (LLMs) like DeepSeek Reasoning Model R1 (Dee...