Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Enhanced breast cancer diagnosis through integration of computer vision with fusion based joint transfer learning using multi modality medical images.

Breast cancer (BC) is a type of cancer which progresses and spreads from breast tissues and graduall...

Application of Machine Learning to Osteoporosis and Osteopenia Screening Using Hand Radiographs.

PURPOSE: Fragility fractures associated with osteoporosis and osteopenia are a common cause of morbi...

Augmenting a spine CT scans dataset using VAEs, GANs, and transfer learning for improved detection of vertebral compression fractures.

In recent years, deep learning has become a popular tool to analyze and classify medical images. How...

ResNet-Transformer deep learning model-aided detection of dens evaginatus.

BACKGROUND: Dens evaginatus is a dental morphological developmental anomaly. Failing to detect it ma...

Improved Surface Electromyogram-Based Hand-Wrist Force Estimation Using Deep Neural Networks and Cross-Joint Transfer Learning.

Deep neural networks (DNNs) and transfer learning (TL) have been used to improve surface electromyog...

Examining the Role of Large Language Models in Orthopedics: Systematic Review.

BACKGROUND: Large language models (LLMs) can understand natural language and generate corresponding ...

Enhancing systematic review efficiency in hand surgery using artificial intelligence (natural language processing) for abstract screening.

The aim of the present study was to train a natural language processing model to recognize key text ...

Artificial intelligence in fracture detection on radiographs: a literature review.

Fractures are one of the most common reasons of admission to emergency department affecting individu...

Automatic AI tool for opportunistic screening of vertebral compression fractures on chest frontal radiographs: A multicenter study.

Vertebral compression fractures (VCFs) are the most common type of osteoporotic fractures, yet they ...

MIU-Net: Advanced multi-scale feature extraction and imbalance mitigation for optic disc segmentation.

Pathological myopia is a severe eye condition that can cause serious complications like retinal deta...

A Deep Learning-Based Approach to Characterize Skull Physical Properties: A Phantom Study.

Transcranial ultrasound imaging is a popular method to study cerebral functionality and diagnose bra...

Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses.

Accurate image interpretation is essential in the field of radiology to the healthcare team in order...

Task-agnostic exoskeleton control via biological joint moment estimation.

Lower-limb exoskeletons have the potential to transform the way we move, but current state-of-the-ar...

Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model.

INTRODUCTION: The problem of population aging is intensifying worldwide. Osteoporosis has become an ...

Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application.

OBJECTIVES: To develop a deep learning-based automatic segmentation method for cortex and marrow in ...

Height prediction of individuals with osteogenesis imperfecta by machine learning.

BACKGROUND: Osteogenesis imperfecta (OI) is a genetic disorder characterized by low bone mass, bone ...

Deep learning segmentation-based bone removal from computed tomography of the brain improves subdural hematoma detection.

PURPOSE: Timely identification of intracranial blood products is clinically impactful, however the d...

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