Artificial intelligence in diagnosis of knee osteoarthritis and prediction of arthroplasty outcomes: a review

LS Lee, PK Chan, C Wen, WC Fung, A Cheung… - Arthroplasty, 2022 - Springer
Background Artificial intelligence is an emerging technology with rapid growth and
increasing applications in orthopaedics. This study aimed to summarize the existing …

Artificial intelligence and orthopaedics: an introduction for clinicians

TG Myers, PN Ramkumar, BF Ricciardi, KL Urish… - JBJS, 2020 - journals.lww.com
Artificial Intelligence and Orthopaedics: An Introduction fo... : JBJS Artificial Intelligence and
Orthopaedics: An Introduction for Clinicians : JBJS JBJS Journal Case Connector Reviews …

Machine learning in biomedical engineering

C Park, CC Took, JK Seong - Biomedical Engineering Letters, 2018 - Springer
Machine learning, which was first paraphrased by Arthur Samuel, can be defined as a field
of computer science that gives computers the ability to learn without being explicitly …

Quality assessment of machine learning models for diagnostic imaging in orthopaedics: a systematic review

A Lans, RJB Pierik, JR Bales, MS Fourman… - Artificial Intelligence in …, 2022 - Elsevier
Background Machine learning (ML) models are emerging at a rapid pace in orthopaedic
imaging due to their ability to facilitate timely diagnostic and treatment decision making …

Artificial intelligence and machine learning| applications in musculoskeletal physiotherapy

C Tack - Musculoskeletal Science and Practice, 2019 - Elsevier
Introduction Artificial intelligence (AI) is a field of mathematical engineering which has
potential to enhance healthcare through new care delivery strategies, informed decision …

Machine learning and medicine: book review and commentary

R Koprowski, KR Foster - 2018 - Springer
This article is a review of the book “Master machine learning algorithms, discover how they
work and implement them from scratch”(ISBN: not available, 37 USD, 163 pages) edited by …

Artificial intelligence and robotics in spine surgery

JJ Rasouli, J Shao, S Neifert, WN Gibbs… - Global Spine …, 2021 - journals.sagepub.com
Study Design: Narrative review. Objectives: Artificial intelligence (AI) and machine learning
(ML) have emerged as disruptive technologies with the potential to drastically affect clinical …

Administrative databases in orthopaedic research: pearls and pitfalls of big data

AA Patel, K Singh, RM Nunley… - JAAOS-Journal of the …, 2016 - journals.lww.com
The drive for evidence-based decision-making has highlighted the shortcomings of
traditional orthopaedic literature. Although high-quality, prospective, randomized studies in …

Machine learning in gastrointestinal surgery

T Sakamoto, T Goto, M Fujiogi, A Kawarai Lefor - Surgery Today, 2022 - Springer
Abstract Machine learning (ML) is a collection of algorithms allowing computers to learn
directly from data without predetermined equations. It is used widely to analyze “big data”. In …

Artificial intelligence in orthopedic surgery: evolution, current state and future directions

AP Kurmis, JR Ianunzio - Arthroplasty, 2022 - Springer
Technological advances continue to evolve at a breath-taking pace. Computer-navigation,
robot-assistance and three-dimensional digital planning have become commonplace in …