Orthopedics

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

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Showing 1786-1806 of 5,207 articles
Global research status and trends in orthopaedic surgical robotics: a bibliometric and visualisation analysis study.

This study aimed to investigate and summarise the current state of research and trends in orthopaedi...

Robot-assisted percutaneous pars-pedicle screw fixation for treating Hangman's fracture.

BACKGROUND: This study aimed to evaluate the safety and efficacy of robot-assisted percutaneous pars...

Tough, Recyclable, and Degradable Elastomers for Potential Biomedical Applications.

Elastomers have many industrial, medical and commercial applications, however, their huge demand rai...

Emerging trends and research foci of deep learning in spine: bibliometric and visualization study.

As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with tremendous po...

Active mesh and neural network pipeline for cell aggregate segmentation.

Segmenting cells within cellular aggregates in 3D is a growing challenge in cell biology due to impr...

Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans.

PURPOSE: Spinal bone metastases directly affect quality of life, and patients with lytic-dominant le...

Deep learning-based detection of patients with bone metastasis from Japanese radiology reports.

PURPOSE: Deep learning (DL) is a state-of-the-art technique for developing artificial intelligence i...

Incidental findings on CT scans for robot-assisted total joint arthroplasty.

INTRODUCTION: This study documented the incidence of incidental findings from preoperative computeri...

Robot-Assisted Kyphoplasty versus Fluoroscopy-Assisted Kyphoplasty: A Meta-Analysis of Postoperative Outcomes.

Osteoporotic vertebral compression fractures are the most common manifestation of osteoporosis. Perc...

Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-AI.

This study investigated the utility of supervised machine learning (SML) and explainable artificial ...

Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images.

OBJECTIVES: To develop and assess the performance of a novel artificial intelligence (AI)-driven con...

Deep learning-based artificial intelligence model for classification of vertebral compression fractures: A multicenter diagnostic study.

OBJECTIVE: To develop and validate an artificial intelligence diagnostic system based on X-ray imagi...

Joint action with human and robotic co-actors: Self-other integration is immune to the perceived humanness of the interacting partner.

When performing a joint action task, we automatically represent the action and/or task constraints o...

Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.

BACKGROUND: Misalignment to the incorrect vertebral body remains a rare but serious patient safety r...

AMLnet, A deep-learning pipeline for the differential diagnosis of acute myeloid leukemia from bone marrow smears.

Acute myeloid leukemia (AML) is a deadly hematological malignancy. Cellular morphology detection of ...

A Critical Review on Factors Affecting the User Adoption of Wearable and Soft Robotics.

In recent years, the advent of soft robotics has changed the landscape of wearable technologies. Sof...

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