Latest AI and machine learning research in orthopedics for healthcare professionals.
OBJECTIVE: To compare the image quality and diagnostic performance between standard turbo spin-echo ...
Radiomics is the extraction of predefined mathematic features from medical images for predicting var...
The bone mineral density (BMD) measurement is a direct method of estimating human bone mass for diag...
PURPOSE: To develop an automated deep learning system for detecting the presence and location of dis...
For decades, it has been difficult for small-scale legged robots to conquer challenging environments...
PURPOSE: The purpose of this study was to evaluate the ability to depict in vivo bone vascularizatio...
Screening programs for early lung cancer diagnosis are uncommon, primarily due to the challenge of r...
Lower limb exoskeleton robots have shown significant research value due to their capabilities of pro...
Joint attention is a pivotal mechanism underlying human ability to interact with one another. The fu...
BACKGROUND: Indications for reverse total shoulder arthroplasty(rTSA) continue to expand making it c...
BACKGROUND/PURPOSE: Amoxicillin and clindamycin are the most effective decontaminants for intraoral ...
Since manually labeling images is expensive and labor intensive, in practice we often do not have en...
In this review, we assessed the diagnostic efficiency of artificial intelligence (AI) models in dete...
BACKGROUND/PURPOSE: Identifying patients at risk of prolonged opioid use after surgery prompts appro...
Artificial intelligence (AI) is increasingly used in clinical practice for musculoskeletal imaging t...
Human-robot interaction (HRI) describes scenarios in which both human and robot work as partners, sh...
RATIONALE AND OBJECTIVES: Spinal osteoporotic compression fractures (OCFs) can be an early biomarker...
Computed tomography (CT) scan provides first-hand knowledge to doctors to identify an ailment. Deep ...
Quantifying the level of atomic disorder within materials is critical to understanding how evolving ...
Anemia coexisting with Gaucher disease (GD) is often associated with non-hemolytic processes. Few ca...
BACKGROUND AND PURPOSE: Deep learning image reconstruction allows faster MR imaging acquisitions whi...