Supervised machine learning and associated algorithms: applications in orthopedic surgery

JA Pruneski, A Pareek, KN Kunze, RK Martin… - Knee Surgery, Sports …, 2023 - Springer
Supervised learning is the most common form of machine learning utilized in medical
research. It is used to predict outcomes of interest or classify positive and/or negative cases …

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 …

Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

RK Martin, C Ley, A Pareek, A Groll… - Knee surgery, sports …, 2022 - Wiley Online Library
The application of artificial intelligence (AI) and machine learning to the field of orthopaedic
surgery is rapidly increasing. While this represents an important step in the advancement of …

Machine learning and conventional statistics: making sense of the differences

C Ley, RK Martin, A Pareek, A Groll, R Seil… - Knee Surgery, Sports …, 2022 - Springer
The application of machine learning (ML) to the field of orthopaedic surgery is rapidly
increasing, but many surgeons remain unfamiliar with the nuances of this novel technique …

Machine learning for the orthopaedic surgeon: uses and limitations

D Alsoof, CL McDonald, EO Kuris, AH Daniels - JBJS, 2022 - journals.lww.com
Machine Learning for the Orthopaedic Surgeon: Uses and Limit... : JBJS Machine Learning for
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …

[HTML][HTML] Machine learning in orthopaedic surgery

SP Lalehzarian, AK Gowd, JN Liu - World journal of orthopedics, 2021 - ncbi.nlm.nih.gov
Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …

Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics

L Farrow, M Zhong, GP Ashcroft… - The Bone & Joint …, 2021 - boneandjoint.org.uk
There is increasing popularity in the use of artificial intelligence and machine-learning
techniques to provide diagnostic and prognostic models for various aspects of Trauma & …

Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

PT Ogink, OQ Groot, AV Karhade, MER Bongers… - Acta …, 2021 - Taylor & Francis
Background and purpose—Advancements in software and hardware have enabled the rise
of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given …

A practical guide to the development and deployment of deep learning models for the orthopedic surgeon: part II

JF Oeding, RJ Williams III, CL Camp… - Knee Surgery …, 2023 - Wiley Online Library
Deep learning has the potential to be one of the most transformative technologies to impact
orthopedic surgery. Substantial innovation in this area has occurred over the past 5 years …

Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications

KN Kunze, M Orr, V Krebs, M Bhandari… - Bone & joint …, 2022 - boneandjoint.org.uk
Artificial intelligence and machine-learning analytics have gained extensive popularity in
recent years due to their clinically relevant applications. A wide range of proof-of-concept …