Poster: Machine learning and patient-specific biomechanical methods for assessing outcome in total shoulder arthroplast
Knee osteoarthritis is one of the most prevalent chronic diseases. It leads to pain, stiffness, decr...
Machine learning (ML) methods have been previously applied and compared in pattern recognition of ha...
There is a high prevalence of shoulder problems in manual wheelchair users (MWUs) with a spinal cord...
This thesis describes the design, implementation, and pre-clinical validation of two distinct biomed...
Introduction Despite technological advancements in recent years, glenoid component loosening remains...
There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncement...
BACKGROUND: Improvement in internal rotation (IR) after anatomic (aTSA) and reverse (rTSA) total sho...
Background Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of...
It is necessary to know the manufacturer and model of a previously implanted shoulder prosthesis bef...
BACKGROUND: Improvement in internal rotation (IR) after anatomic (aTSA) and reverse (rTSA) total sho...
Artificial Intelligence (AI) is acquiring more recognition than ever by researchers and machine lear...
Machine learning (ML) algorithms have the ability to automatically learn and improve from experience...
Objective The purpose of present review paper is to introduce the reader to key directions of Machi...
We propose a novel machine learning (ML)-driven methodology to estimate biomechanical variables of i...
Objectives This study aimed at developing a convolutional neural network (CNN) able to automatically...
Knee osteoarthritis is one of the most prevalent chronic diseases. It leads to pain, stiffness, decr...
Machine learning (ML) methods have been previously applied and compared in pattern recognition of ha...
There is a high prevalence of shoulder problems in manual wheelchair users (MWUs) with a spinal cord...
This thesis describes the design, implementation, and pre-clinical validation of two distinct biomed...
Introduction Despite technological advancements in recent years, glenoid component loosening remains...
There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncement...
BACKGROUND: Improvement in internal rotation (IR) after anatomic (aTSA) and reverse (rTSA) total sho...
Background Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of...
It is necessary to know the manufacturer and model of a previously implanted shoulder prosthesis bef...
BACKGROUND: Improvement in internal rotation (IR) after anatomic (aTSA) and reverse (rTSA) total sho...
Artificial Intelligence (AI) is acquiring more recognition than ever by researchers and machine lear...
Machine learning (ML) algorithms have the ability to automatically learn and improve from experience...
Objective The purpose of present review paper is to introduce the reader to key directions of Machi...
We propose a novel machine learning (ML)-driven methodology to estimate biomechanical variables of i...
Objectives This study aimed at developing a convolutional neural network (CNN) able to automatically...
Knee osteoarthritis is one of the most prevalent chronic diseases. It leads to pain, stiffness, decr...
Machine learning (ML) methods have been previously applied and compared in pattern recognition of ha...
There is a high prevalence of shoulder problems in manual wheelchair users (MWUs) with a spinal cord...
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