Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …
using machine learning techniques across all medical specialties. Design Systematic …
Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …
Although of high complexity for a human being, it is essential to determine the patterns and …
[HTML][HTML] Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
Background Machine learning (ML) is increasingly being used in many areas of health care.
Its use in infection management is catching up as identified in a recent review in this journal …
Its use in infection management is catching up as identified in a recent review in this journal …
Spinal epidural abscess: diagnosis, management, and outcomes
An infection of the spinal epidural space, spinal epidural abscess (SEA) is a potentially
devastating entity that is rising in incidence. Its insidious presentation, variable progression …
devastating entity that is rising in incidence. Its insidious presentation, variable progression …
Development of machine learning algorithms to predict patient dissatisfaction after primary total knee arthroplasty
KN Kunze, EM Polce, AJ Sadauskas… - The Journal of arthroplasty, 2020 - Elsevier
Background Postoperative dissatisfaction after primary total knee arthroplasty (TKA) that
requires additional care or readmission may impose a significant financial burden to …
requires additional care or readmission may impose a significant financial burden to …
[HTML][HTML] A review on the use of artificial intelligence in spinal diseases
Artificial neural networks (ANNs) have been used in a wide variety of real-world applications
and it emerges as a promising field across various branches of medicine. This review aims …
and it emerges as a promising field across various branches of medicine. This review aims …
Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research: a call to emphasize data quality and indications
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 …
recent years due to their clinically relevant applications. A wide range of proof-of-concept …
Machine learning algorithms predict clinically significant improvements in satisfaction after hip arthroscopy
KN Kunze, EM Polce, J Rasio, SJ Nho - Arthroscopy: The Journal of …, 2021 - Elsevier
Purpose To develop machine learning algorithms to predict failure to achieve clinically
significant satisfaction after hip arthroscopy. Methods We queried a clinical repository for …
significant satisfaction after hip arthroscopy. Methods We queried a clinical repository for …
Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery
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 …
has increased, researchers are becoming more aware of the deleterious effects that stem …
Diagnostic performance of artificial intelligence for detection of anterior cruciate ligament and meniscus tears: A systematic review
KN Kunze, DM Rossi, GM White, AV Karhade… - … : The Journal of …, 2021 - Elsevier
Purpose To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for
detecting anterior cruciate ligament (ACL) and meniscus tears and to (2) compare the …
detecting anterior cruciate ligament (ACL) and meniscus tears and to (2) compare the …