Orthopedics

Adaptive variable impedance position/force tracking control of fracture reduction robot.

BACKGROUND: The operation object of robot-assisted fracture reduction surgery is the musculoskeletal...

Intelligent robot-assisted minimally invasive reduction system for reduction of unstable pelvic fractures.

OBJECTIVE: Currently, minimally invasive internal fixation is recommended for the surgical treatment...

Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the...

Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery.

Multi-perspective region-based CNNs for vertebrae labeling in intraoperative long-length images.

PURPOSE: Effective aggregation of intraoperative x-ray images that capture the patient anatomy from ...

Modular Bioinspired Hand with Multijoint Rigid-Soft Finger Possessing Proprioception.

Soft robot hands have the advantage of remarkable adaptability for grasping. Especially for the soft...

Deep Learning for Spine MRI: Reducing Time Not Quality.

Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability.

Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-...

A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair.

INTRODUCTION: The use of biologic adjuvants (orthobiologics) is becoming commonplace in orthopaedic ...

Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net.

The use of deep learning (DL) in medical imaging is becoming increasingly widespread. Although DL ha...

End-to-end deep learning model for segmentation and severity staging of anterior cruciate ligament injuries from MRI.

PURPOSE: The purpose of this study was to develop a semi-supervised segmentation and classification ...

Artificial intelligence-based algorithm for cervical vertebrae maturation stage assessment.

OBJECTIVE: The aim of this study was to develop an artificial intelligence (AI) algorithm to automat...

Exactech Equinoxe anatomic versus reverse total shoulder arthroplasty for primary osteoarthritis: case controlled comparisons using the machine learning-derived Shoulder Arthroplasty Smart score.

BACKGROUND: The role of reverse total shoulder arthroplasty (rTSA) for glenohumeral osteoarthritis (...

Contemporary Advances in Computer-Assisted Bone Histomorphometry and Identification of Bone Cells in Culture.

Static and dynamic bone histomorphometry and identification of bone cells in culture are labor-inten...

Methodologies and Emerging Technologies for the Evaluation of the Hematopoietic System.

Hematology and bone marrow analysis is central to our understanding of the hematopoietic system and ...

A Deep CNN Framework for Neural Drive Estimation From HD-EMG Across Contraction Intensities and Joint Angles.

OBJECTIVE: Previous studies have demonstrated promising results in estimating the neural drive to mu...

Robotic Spine Surgery: Past, Present, and Future: Erratum.

Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach.

Tracking-by-detection is a very popular framework for single-object tracking that attempts to search...

Artificial intelligence fracture recognition on computed tomography: review of literature and recommendations.

PURPOSE: The use of computed tomography (CT) in fractures is time consuming, challenging and suffers...

An improved path planning algorithm based on artificial potential field and primal-dual neural network for surgical robot.

Safety and accuracy are essential for path planning in a surgical navigation system. In this paper, ...

Artificial Intelligence and Deep Learning for Rheumatologists.

Deep learning has emerged as the leading method in machine learning, spawning a rapidly growing fiel...