Orthopedics

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

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[Applications of artificial intelligence for imaging-driven diagnosis and treatment of bone and soft tissue tumors].

Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone a...

Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.

PURPOSE: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements a...

USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS AND TREATMENT OF ORTHOPEDIC DISEASES: LITERATURE REVIEW.

INTRODUCTION: Artificial intelligence techniques such as machine learning have made it possible to c...

Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence.

OBJECTIVES: This study evaluated the performance of the YOLOv5 deep learning model in detecting diff...

[Study on automatic and rapid diagnosis of distal radius fracture by X-ray].

This article aims to combine deep learning with image analysis technology and propose an effective c...

Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach.

In the realm of ophthalmic surgeries, silicone oil is often utilized as a tamponade agent for repair...

Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments.

In an era increasingly focused on integrating Artificial Intelligence (AI) into healthcare, the util...

Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment, and evaluation of an AI algorithm.

Vertebral compression fractures (VCFs) are common and indicate a high future risk of additional oste...

Tissue Classification After Bone-Anchored Hearing Implant Surgery: A Machine Learning Approach to Monitoring Skin Response.

HYPOTHESIS: Here, we aim to 1) expand the available evidence for the use of machine learning techniq...

Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.

BACKGROUND: This study aimed to develop a novel deep convolutional neural network called Dual-path D...

Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?

OBJECTIVE: To evaluate whether the CT attenuation of bones seen on shoulder CT scans could be used t...

An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning.

CONTEXT.—: Conventional karyotype analysis, which provides comprehensive cytogenetic information, pl...

The Growing Role of Artificial Intelligence and Technology in Hip and Knee Arthroplasty.

Artificial intelligence and technology have continued to evolve over recent decades, and their utili...

SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation.

Conventional deep learning models deal with images one-by-one, requiring costly and time-consuming e...

Prediction of Low Bone Mass for Japanese Female Athletes Using Machine Learning.

Attainment of optimal bone mineral density (BMD) in female athletes is a very important aspect of en...

Classification of Abnormal Gaits with Machine Learning Algorithms using Sensor-Inherited Insoles.

The digital health industry's interest in gait analysis has driven research into sensor-enabled inso...

A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation.

Osteocyte-lacunar bone structures are a discerning marker for bone pathophysiology, given their geom...

Preliminary Experimental Validation of a Cable-Driven Joint System for Custom Orthoses.

Robot-assisted gait training has the potential to enhance gait therapy for children with mobility im...

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