Orthopedics

Fully automated segmentation of foot bones using machine learning and convolutional neural networks.

BackgroundRecent advancements in medical imaging technology have significantly increased the prevalence of automatic and semi-automatic segmentation techniques for foot bones, offering promising potential for improving diagnostic accuracy and efficiency. However, a critical challenge remains the scarcity of literature on the reliability and validation of these automated systems, underscoring the n...

A dataset of midpalatal suture maturation stage in cone-beam computed tomography.

In the field of orthodontics, the degree of fusion of the midpalatal suture (MPS) is a crucial factor in determining the most appropriate maxillary expansion technique. This study analyzed 600 cone-beam computed tomography (CBCT) scans from patients aged 4 to 25, covering all MPS maturity stages (35 in stage A, 113 in stage B, 186 in stage C, 163 in stage D, and 103 in stage E). A custom model int...

Early Detection of Traumatic Brain Hematoma Using Machine Learning-Powered Near-Infrared Spectroscopy: A Case Report in a Kabaddi Player.

Traumatic brain injury is a significant concern in contact sports, with concussions being the most common type. Kabaddi, a high-contact sport, carries...

Deep Learning-Based Prediction of Trabecular Bone Mineral Density From Lumbar CT: A Superior Alternative to DEXA in Hyperostosis.

Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict lumbar spine bone mineral density (BMD) from CT im...

Improving acute lymphoblastic leukemia diagnosis through CBAM-enhanced VGG19 deep learning.

Acute Lymphoblastic Leukemia (ALL) is an aggressive blood cancer that requires rapid and accurate diagnosis. Manual review of blood and bone marrow sm...

A physics-informed hybrid ML framework for pore pressure and fracture gradient prediction in carbonate reservoirs.

Accurate prediction of formation pore pressure and fracture gradient is essential for safe mud-weight selection and wellbore stability, especially in ...

Topological control of spontaneous failure in active nematic solids.

Active solids using energy influx to generate non-equilibrium forces undergo spontaneous mechanical failure, but how topological defects concentrate i...

De-identification Strategy and Re-identification Risks for Facial Computed Tomography Images via Deep Learning.

The aim is to develop and evaluate a deep learning-based selective de-identification method for head computed tomography (CT) images that removes faci...

Automated classification of shoulder radiology focusing on cuff tear arthropathy and glenoid erosion using AI.

BACKGROUND: Recent advancements in the field artificial intelligence (AI), particularly in the architecture of convolutional neural network (CNN) arch...

Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.

Understanding motion and 3D structure from dynamic scenes is a fundamental computer vision challenge. Unsupervised learning addresses the high cost of...

Large-scale analysis of DNA quantification metrics and SNP sequencing performance in unidentified human remains.

Massively parallel sequencing (MPS)-based single nucleotide polymorphism (SNP) profiling is being increasingly used in forensic DNA testing, yet the i...

Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.

OBJECTIVES: Vertebral fractures are severe complications of osteoporosis but are frequently missed on computed tomography (CT). Differentiating true f...

Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface.

Developing polymer composites that simultaneously achieve high strength, toughness, and impact resistance remains a fundamental challenge due to inher...

Contextual anatomy-guided deep learning for accurate fovea segmentation in diabetic retinopathy fundus images.

Accurate fovea segmentation in fundus images is a critical step in diabetic retinopathy screening; however, it remains a challenging task due to the i...

The SEWAbility system: a video-based job analysis framework for understanding task-specific job demands.

This study introduces the Smart Evaluation of Work Ability (SEWAbility), an AI-powered video analysis system designed to support objective job analysi...

Comment on "Automatic rib fracture detection on postmortem CT data using deep learning".

Two -stage contrastive learning framework for vertebral compression fracture screening in frontal chest X-ray.

Vertebral Compression Fractures (VCFs) are early signs of osteoporosis and the most common type of osteoporotic fracture. In clinical practice, the pi...

Can AI write reports like a radiologist? A blinded evaluation of large language model-generated lumbar spine MRI reports.

BACKGROUND: To compare the quality and clinical usefulness of large language model (LLM)-generated lumbar spine magnetic resonance imaging (MRI) repor...

Deep learning pipeline for trapezium segmentation in thumb radiographs.

OBJECTIVE: Accurate identification of the trapezium is crucial for trapeziometacarpal (TMC) arthroplasty but remains challenging on standard radiograp...

Bibliometric analysis of bone metastasis from prostate cancer research from 2007 to 2024.

BACKGROUND: Prostate cancer (PCa) is one of the most common cancer in men worldwide, while numerous scientific achievements have been made in research...