Orthopedics

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

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Showing 694-714 of 5,194 articles
Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study.

BACKGROUND AND PURPOSE:  Hand fractures are commonly presented in emergency departments, yet diagnos...

Evaluating the Quality and Readability of Information Provided by Generative Artificial Intelligence Chatbots on Clavicle Fracture Treatment Options.

Introduction Generative artificial intelligence (AI) chatbots, like ChatGPT, have become more compet...

Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort.

OBJECTIVE: To evaluate the repeatability of AI-based automatic measurement of vertebral and cardiova...

Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy.

Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is ess...

Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield.

Estimating seismic anisotropy parameters, such as Thomson's parameters, is crucial for investigating...

Fuzzy Synchronization Likelihood Graph in Deep Neural Networks for Human Motion Time Series Analysis.

Variable interactivity is crucial in biological multivariate time series analysis. This research sug...

ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism.

Accurately predicting intracerebral hemorrhage (ICH) prognosis is a critical and indispensable step ...

Advanced AI-assisted panoramic radiograph analysis for periodontal prognostication and alveolar bone loss detection.

BACKGROUND: Periodontitis is a chronic inflammatory disease affecting the gingival tissues and suppo...

Development and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study.

Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of ind...

The use of machine learning for the prediction of response to follow-up in spine registries.

BACKGROUND: One of the main challenges in the maintenance of registries is to keep a high follow-up ...

Novel transfer learning based bone fracture detection using radiographic images.

A bone fracture is a medical condition characterized by a partial or complete break in the continuit...

Perspectives surrounding robotic total hip arthroplasty: a cross-sectional analysis using natural language processing.

BACKGROUND: Robotic technology has been used in total hip arthroplasty (THA) for several years. Desp...

OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging.

BACKGROUND: Knee osteoarthritis (KOA) constitutes the prevailing manifestation of arthritis. Radiogr...

Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.

Bone marrow adipose tissue is a distinct adipose subtype comprising more than 10% of fat mass in hea...

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