121 citations · 232 across the 5 of their papers we have counts for
5 papers
The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning
Alireza Borjali, Soheil Ashkani-Esfahani, Rohan Bhimani +5
Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelerated arthritic change in the ankle joint. Weight-bearing computed tomography (WBCT) has sh…
Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning
Gergo Merkely, Alireza Borjali, Molly Zgoda +5
Background: MRI is the modality of choice for cartilage imaging; however, its diagnostic performance is variable and significantly lower than the gold standard diagnostic knee arth…
Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation
Alireza Borjali, Martin Magneli, David Shin +3
Accurate and timely detection of medical adverse events (AEs) from free-text medical narratives is challenging. Natural language processing (NLP) with deep learning has already sho…
Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu +2
Plain radiography is widely used to detect mechanical loosening of total hip replacement (THR) implants. Currently, radiographs are assessed manually by medical professionals, whic…
Detecting total hip replacement prosthesis design on preoperative radiographs using deep convolutional neural network
Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu +2
Identifying the design of a failed implant is a key step in preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographi…