[HTML][HTML] Applications of natural language processing tools in orthopaedic surgery: a scoping review
F Sasanelli, KDR Le, SBP Tay, P Tran, JW Verjans - Applied Sciences, 2023 - mdpi.com
The advent of many popular commercial forms of natural language processing tools has
changed the way we can utilise digital technologies to tackle problems with big data. The …
changed the way we can utilise digital technologies to tackle problems with big data. The …
Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
Objectives: Current state-of-the-art natural language processing (NLP) techniques use
transformer deep-learning architectures, which depend on large training datasets. We …
transformer deep-learning architectures, which depend on large training datasets. We …
Applications of natural language processing tools in the surgical journey
Background Natural language processing tools are becoming increasingly adopted in
multiple industries worldwide. They have shown promising results however their use in the …
multiple industries worldwide. They have shown promising results however their use in the …
AUR-RRA review: logistics of academic-industry partnerships in artificial intelligence
The Radiology Research Alliance (RRA) of the Association of University Radiologists (AUR)
convenes Task Forces to address current topics in radiology. In this article, the AUR-RRA …
convenes Task Forces to address current topics in radiology. In this article, the AUR-RRA …
Development and Operationalization of an Automated Workflow for Correlation of Knee MRI and Arthroscopy Findings
F Altahawi, A Owens, CH Caruso, JR Wetzel… - Journal of the American …, 2024 - Elsevier
Objective In this study, we sought to establish and evaluate an automated workflow to
prospectively capture and correlate knee MRI findings with surgical findings in a large …
prospectively capture and correlate knee MRI findings with surgical findings in a large …
Language and Multimodal Models in Sports: A Survey of Datasets and Applications
Recent integration of Natural Language Processing (NLP) and multimodal models has
advanced the field of sports analytics. This survey presents a comprehensive review of the …
advanced the field of sports analytics. This survey presents a comprehensive review of the …
Systematic review of natural language processing (NLP) applications in magnetic resonance imaging (MRI)
G Mahameed, D Brin, E Konen, G Nadkarni, E Klang - medRxiv, 2024 - medrxiv.org
Background: As MRI use grows in medical diagnostics, applying NLP techniques could
improve management of related text data. This review aims to explore how NLP can …
improve management of related text data. This review aims to explore how NLP can …
[HTML][HTML] Improving Automating Quality Control in Radiology: Leveraging Large Language Models to Extract Correlative Findings in Radiology and Operative Reports
N Eghbali, C Klochko, P Razoky… - AMIA Summits on …, 2024 - ncbi.nlm.nih.gov
Radiology Imaging plays a pivotal role in medical diagnostics, providing clinicians with
insights into patient health and guiding the next steps in treatment. The true value of a …
insights into patient health and guiding the next steps in treatment. The true value of a …
Artificial Intelligence in Orthopedic Sports Medicine
Artificial intelligence in sports medicine is a topic that is in its formative years. Artificial
intelligence as a technology works, and there is opportunity for this technology to …
intelligence as a technology works, and there is opportunity for this technology to …
Diagnosis of meniscal tears through automated interpretation of medical reports via machine learning
A Eresen - Academic Radiology, 2022 - academicradiology.org
Symptomatic meniscal tear is one of the most com-mon knee injuries. It affects 0.6 to 8 per
1000 people yearly depending on age and activity in sports, and relatively high medical cost …
1000 people yearly depending on age and activity in sports, and relatively high medical cost …