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 …

Artificial intelligence in knee arthroplasty: current concept of the available clinical applications

C Batailler, J Shatrov, E Sappey-Marinier, E Servien… - Arthroplasty, 2022 - Springer
Background Artificial intelligence (AI) is defined as the study of algorithms that allow
machines to reason and perform cognitive functions such as problem-solving, objects …

Applying deep learning to establish a total hip arthroplasty radiography registry: a stepwise approach

P Rouzrokh, B Khosravi, QJ Johnson, S Faghani… - JBJS, 2022 - journals.lww.com
Background: Establishing imaging registries for large patient cohorts is challenging because
manual labeling is tedious and relying solely on DICOM (digital imaging and …

The development and deployment of machine learning models

JA Pruneski, RJ Williams III, BU Nwachukwu… - Knee Surgery, Sports …, 2022 - Springer
Applications of artificial intelligence, specifically machine learning, are becoming
increasingly popular in Orthopaedic Surgery, and medicine as a whole. This growing …

[HTML][HTML] Machine understanding surgical actions from intervention procedure textbooks

M Bombieri, M Rospocher, SP Ponzetto… - Computers in Biology and …, 2023 - Elsevier
The automatic extraction of procedural surgical knowledge from surgery manuals, academic
papers or other high-quality textual resources, is of the utmost importance to develop …

Systematic evaluation of common natural language processing techniques to codify clinical notes

N Tavabi, M Singh, J Pruneski, AM Kiapour - Plos one, 2024 - journals.plos.org
Proper codification of medical diagnoses and procedures is essential for optimized health
care management, quality improvement, research, and reimbursement tasks within large …

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 …

Concerns surrounding application of artificial intelligence in hip and knee arthroplasty: a review of literature and recommendations for meaningful adoption

TS Polisetty, S Jain, M Pang, JM Karnuta… - The Bone & Joint …, 2022 - boneandjoint.org.uk
Literature surrounding artificial intelligence (AI)-related applications for hip and knee
arthroplasty has proliferated. However, meaningful advances that fundamentally transform …