Orthopedics

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

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Showing 862-882 of 5,194 articles
SPINEPS-automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation.

OBJECTIVES: Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14...

Assessment of Artificial Intelligence Chatbot Responses to Common Patient Questions on Bone Sarcoma.

BACKGROUND AND OBJECTIVES: The potential impacts of artificial intelligence (AI) chatbots on care fo...

Utilization of Machine Learning Models to More Accurately Predict Case Duration in Primary Total Joint Arthroplasty.

BACKGROUND: Accurate operative scheduling is essential for the appropriation of operating room esour...

Temporomandibular joint CBCT image segmentation via multi-view ensemble learning network.

Accurate segmentation of the temporomandibular joint (TMJ) from cone beam CT (CBCT) images holds sig...

Trends in the prevalence of osteoporosis and effects of heavy metal exposure using interpretable machine learning.

There is limited evidence that heavy metals exposure contributes to osteoporosis. Multi-parameter sc...

Charting the growth through intelligence: A SWOC analysis on AI-assisted radiologic bone age estimation.

Bone age estimation (BAE) is based on skeletal maturity and degenerative process of the skeleton. Th...

A Systematic Review on Rigid Exoskeleton Robot Design for Wearing Comfort: Joint Self-Alignment, Attachment Interface, and Structure Customization.

Exoskeleton robots enable individuals with impaired physical functions to perform daily activities a...

An explainable machine learning estimated biological age based on morphological parameters of the spine.

Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is wi...

Evaluation of a novel robotic testing method for stability and kinematics of total knee arthroplasty.

PURPOSE: This work developed a novel preclinical test of total knee replacements (TKRs) in order to ...

Ensemble approach for predicting the diagnosis of osteoarthritis using physical activity factors.

BACKGROUND: Osteoarthritis (OA) is a common degenerative disease of the joints. Risk factors for OA ...

Target-specified reference-based deep learning network for joint image deblurring and resolution enhancement in surgical zoom lens camera calibration.

BACKGROUND AND OBJECTIVE: For the augmented reality of surgical navigation, which overlays a 3D mode...

AI in radiology: From promise to practice - A guide to effective integration.

While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology,...

Optimized deep learning networks for accurate identification of cancer cells in bone marrow.

Radiologists utilize pictures from X-rays, magnetic resonance imaging, or computed tomography scans ...

as a Novel Biomarker for Colon Cancer Bone Metastasis with Machine Learning and Immunohistochemistry Validation.

Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is...

OrthoMortPred: Predicting one-year mortality following orthopedic hospitalization.

OBJECTIVE: Predicting mortality risk following orthopedic surgery is crucial for informed decision-m...

"Dictionary of immune responses" reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.

BACKGROUND: Intervertebral disc degeneration (IDD) is widely regarded as the primary contributor to ...

Can ChatGPT reliably answer the most common patient questions regarding total shoulder arthroplasty?

BACKGROUND: Increasingly, patients are turning to artificial intelligence (AI) programs such as Chat...

A Biomimetic Adhesive Disc for Robotic Adhesion Sliding Inspired by the Net-Winged Midge Larva.

Net-winged midge larvae (Blephariceridae) are known for their remarkable ability to adhere to and cr...

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