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Full-Text Articles in Medicine and Health Sciences
Utilizing Bibliometrics To Understand The Role Of Machine Learning In The Current Orthopedic Arthroplasty Literature, Matthew Corsi Bs., Fong Nham Md., Mouhanad El-Othmani Md
Utilizing Bibliometrics To Understand The Role Of Machine Learning In The Current Orthopedic Arthroplasty Literature, Matthew Corsi Bs., Fong Nham Md., Mouhanad El-Othmani Md
Medical Student Research Symposium
Background: Machine learning technology has been demonstrated to be a very useful tool in current orthopedic research. Furthermore, machine learning has shown to be quite impactful in the field of arthroplasty solving many clinical and scientific problems, leading to greater utilization in retrospective studies. This current study aims to identify machine learning arthroplasty research and predict future hotspots. We hypothesize that the production of current scientific literature on machine learning will be produced by US-based national institutions and will have exponentially grown in the past 5 years.
Methods: Machine learning arthroplasty publications between 1996 and 2023 were identified using the …
Cardio-Net: A Matlab-Based Software For The Display And Diagnostic Utilization Of Vectorcardiograms, Ali H. Mannaa, Domenico Gatti
Cardio-Net: A Matlab-Based Software For The Display And Diagnostic Utilization Of Vectorcardiograms, Ali H. Mannaa, Domenico Gatti
Medical Student Research Symposium
Background: The 12-lead technique is the standard in ECG, however alternate cardiography modalities such as vectorcardiography (VCG) exist . While the VCG modality offers unique clinical metrics and certain advantages over ECG, it is hardly utilized due to it being more difficult to obtain than ECG. Here we introduce Cardio-Net, a MATLAB-based software that uses standard 12-lead ECG data to generate and visualize VCGs. Furthermore, we demonstrate the diagnostic potential of VCG by utilizing a recurrent neural network (RNN) to accurately classify vectorcardiograms.
Methods: MATLAB version 2019b and the following toolboxes were used for data processing: Deep learning, …