Orthopedics

Performance of Large Language Models in Answering Osteoporosis-Related Frequently Asked Questions: A Systematic Comparative Evaluation Based on International Associations.

To systematically evaluate and compare the performance of large language models (LLMs) in answering osteoporosis-related frequently asked questions (FAQs) derived from international osteoporosis-related associations. A standardized question bank was constructed based on FAQs summarized from three international osteoporosis-related associations. Six LLMs were prompted to generate responses to all q...

Quantitative Ergonomic Assessment of Long Handle Farming Tools Among Women Farmers Using Camera-Based Analysis.

HIGHLIGHTS: Moderate handle lift angles (27°-56°) and handle lift heights (545-1111 mm) reduce hip/shoulder flexion. Lighter tools (<2.0 kg) lower MSD risk; heavier ones boost leverage for taller users. D-grip handles with natural curves enhance wrist alignment and comfort (64% preference). Adjustable designs can accommodate diverse anthropometrics to mitigate physical strain. ABSTRACT: The design...

Grading Shoulder Osteoarthritis in X-ray Images Using Deep Learning Techniques.

This study attempts to develop a deep learning (DL) model to grade Glenohumeral OA (GHOA) in shoulder x-ray images based on the Hamada classification ...

Automated ultrasound with AI for osteophyte grading in hand osteoarthritis: comparison with expert rheumatologist assessment.

BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automated robotic ultrasound system ARTHUR v.2.0, combin...

Radiomics Grading of Hand Osteoarthritis Severity Using Standard Radiographs: Results from the DIGICOD Cohort.

OBJECTIVE: This study evaluated whether radiomics analysis of standard hand radiographs could provide an automated and objective assessment of structu...

Human Versus Nonhuman: Is There an App for That?

Artificial Intelligence (AI) has rapidly become a widespread technology, with many forms being freely accessible to anyone with internet access. Recen...

Proximal Junctional Kyphosis Prevention in Adult Spinal Deformity Surgery: A Technical Review of Tethering and Adjunctive Strategies.

BACKGROUND AND OBJECTIVES: Proximal junctional kyphosis (PJK) and proximal junctional failure (PJF) remain significant complications after long-segmen...

AI detection of peri-implantitis on 2D radiographs: a systematic review and diagnostic accuracy assessment.

Peri-implantitis is a major biological complication that compromises the longevity of dental implants, and accurate radiographic assessment is essenti...

ASO Special Article: Proceedings of the Inaugural Joint US-India Cancer Dialogue: Accelerating Collaboration to Advance Cancer Prevention, Early Detection, Treatment, and Care.

BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June ...

Automated abdominal aortic calcification, muscle health and incident falls: the UK Biobank Imaging Study.

Emerging evidence suggests that vascular disease is linked with poorer muscle strength and higher falls risk. We evaluated the association between abd...

Advances in the application of finite element analysis in the diagnosis and treatment of cleft lip and palate and alveolar cleft.

Cleft lip and palate (CLP) and alveolar cleft are common congenital craniofacial anomalies, with postoperative maxillary hypoplasia and secondary defo...

Comment on "Integrating machine learning into fracture liaison services: toward precision risk stratification in osteoporosis care: a prospective cohort study".

Patient-friendly simplification and translation of neuroradiology impressions using artificial intelligence.

Healthcare systems in the United States are now mandated to provide patients with immediate access to medical results. Access to complex results prior...

A two-stream network with global-local feature fusion for bone age assessment.

Bone age assessment (BAA) is a widely used clinical technique that can accurately reflect an individual's growth and development level, as well as mat...

In silico augmentation strategies for enhanced machine learning performance in fracture recognition.

This study presents a machine learning framework for fracture risk prediction and in silico validation of synthetic biomedical data. A retrospective d...

Using machine learning to uncover joint involvement patterns linked to disease activity and disability in rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic inflammatory disease marked by painful, progressive joint damage that leads to disability and a sig...

An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.

BACKGROUND: Conventional cytogenetic analysis remains central to the diagnosis and risk stratification of hematological malignancies but is constraine...

Diagnostic performance of artificial intelligence in fracture detection with ultrasound: A systematic review and meta-analysis.

BACKGROUND: Bone fractures are common in acute care, and point-of-care ultrasound (POCUS) is an emerging diagnostic tool that can be complementary to ...

A Novel 2.5-Dimensional Deep Learning Model for "Bone-on-Bone" Detection on Magnetic Resonance Imaging in Medial Unicompartmental Knee Arthroplasty Candidates.

BACKGROUND: Accurate identification of "bone-on-bone" (BoB) osteoarthritis is critical for patient selection for medial unicompartmental knee arthropl...

Quantifying regional contributions to sex classification from fundus photographs via a two-stage attention-based deep learning approach.

This study quantitatively assesses the relative contribution of anatomically defined retinal regions (macula, optic disc, and retinal vasculature) to ...