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Orthopedic Procedures

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Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

International journal of computer assisted radiology and surgery
PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging ar...

Toward automatic C-arm positioning for standard projections in orthopedic surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative fluoroscopy using a mobile C-arm. The accurate acquisition of standardized and anatomy-specific projections is essential in this process. The correspondi...

Artificial Intelligence and Orthopaedics: An Introduction for Clinicians.

The Journal of bone and joint surgery. American volume
➤. Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors. ➤. The 4 things necessary fo...

External Validation of PATHFx Version 3.0 in Patients Treated Surgically and Nonsurgically for Symptomatic Skeletal Metastases.

Clinical orthopaedics and related research
BACKGROUND: PATHFx is a clinical decision-support tool based on machine learning capable of estimating the likelihood of survival after surgery for patients with skeletal metastases. The applicability of any machine-learning tool depends not only on ...

Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

Clinical orthopaedics and related research
BACKGROUND: A preoperative estimation of survival is critical for deciding on the operative management of metastatic bone disease of the extremities. Several tools have been developed for this purpose, but there is room for improvement. Machine learn...

A brief history of artificial intelligence and robotic surgery in orthopedics & traumatology and future expectations.

Joint diseases and related surgery
Recently, the rate of the production and renewal of information makes it almost impossible to be updated. It is quite difficult to process and interpret large amounts of data by human beings. Unlimited memory capacities, learning abilities, artificia...

Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.

The Journal of bone and joint surgery. American volume
BACKGROUND: The identification of surgical site infections for infection surveillance in hospitals depends on the manual abstraction of medical records and, for research purposes, depends mainly on the use of administrative or claims data. The object...

Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task.

The Journal of bone and joint surgery. American volume
BACKGROUND: With the emergence of competency-based training, the current evaluation scheme of surgical skills is evolving to include newer methods of assessment and training. Artificial intelligence through machine learning algorithms can utilize ext...

The role of artificial intelligence and machine learning in predicting orthopaedic outcomes.

The bone & joint journal
This annotation briefly reviews the history of artificial intelligence and machine learning in health care and orthopaedics, and considers the role it will have in the future, particularly with reference to statistical analyses involving large datase...

Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.

Sensors (Basel, Switzerland)
Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation syst...