Natural language processing in surgery: a systematic review and meta-analysis

JA Mellia, MN Basta, Y Toyoda, S Othman… - Annals of …, 2021 - journals.lww.com
Objective: The aim of this study was to systematically assess the application and potential
benefits of natural language processing (NLP) in surgical outcomes research. Summary …

Natural language processing: using artificial intelligence to understand human language in orthopedics

JA Pruneski, A Pareek, BU Nwachukwu… - Knee Surgery, Sports …, 2023 - Springer
Natural language processing (NLP) describes the broad field of artificial intelligence by
which computers are trained to understand and generate human language. Within …

Telemedicine use in orthopaedic surgery varies by race, ethnicity, primary language, and insurance status

G Xiong, NE Greene, HM Lightsey IV… - Clinical Orthopaedics …, 2021 - journals.lww.com
Background Healthcare disparities are well documented across multiple subspecialties in
orthopaedics. The widespread implementation of telemedicine risks worsening these …

Current applications of machine learning in spine: from clinical view

GR Ren, K Yu, ZY Xie, PY Wang… - Global Spine …, 2022 - journals.sagepub.com
Study Design: Narrative review. Objectives: This review aims to present current applications
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …

Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery

TD Azad, J Ehresman, AK Ahmed, VE Staartjes… - The Spine Journal, 2021 - Elsevier
As the use of machine learning algorithms in the development of clinical prediction models
has increased, researchers are becoming more aware of the deleterious effects that stem …

[HTML][HTML] Performance of machine learning algorithms for surgical site infection case detection and prediction: a systematic review and meta-analysis

G Wu, S Khair, F Yang, C Cheligeer, D Southern… - Annals of Medicine and …, 2022 - Elsevier
Background Medical researchers and clinicians have shown much interest in developing
machine learning (ML) algorithms to detect/predict surgical site infections (SSIs). However …

Natural language processing in low back pain and spine diseases: a systematic review

L Bacco, F Russo, L Ambrosio, F D'Antoni… - Frontiers in …, 2022 - frontiersin.org
Natural Language Processing (NLP) is a discipline at the intersection between Computer
Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human …

Application of natural language processing in total joint arthroplasty: opportunities and challenges

F Nugen, DVV Garcia, S Sohn, JP Mickley… - The Journal of …, 2023 - Elsevier
Total joint arthroplasty is becoming one of the most common surgeries within the United
States, creating an abundance of analyzable data to improve patient experience and …

A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data …

JF Oeding, L Yang, J Sanchez‐Sotelo… - Knee Surgery …, 2024 - Wiley Online Library
Deep learning is a subset of artificial intelligence (AI) with enormous potential to transform
orthopaedic surgery. As has already become evident with the deployment of Large …

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 …