Artificial intelligence (AI) and large data registries: Understanding the advantages and limitations of contemporary data sets for use in AI research.

KN Kunze, RJ Williams, AS Ranawat… - Knee Surgery …, 2024 - search.ebscohost.com
This article explores the benefits and limitations of using large data registries for artificial
intelligence (AI) research in orthopaedics. It discusses two main types of data sources …

Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and …

B Blackman, P Vivekanantha, R Mughal… - BMC Musculoskeletal …, 2025 - Springer
Background To summarize the statistical performance of machine learning in predicting
revision, secondary knee injury, or reoperations following anterior cruciate ligament …

Precision Anterior Cruciate Ligament Reconstruction

ZJ Herman, J Kaarre, AMJ Getgood… - Clinics in Sports …, 2024 - sportsmed.theclinics.com
Anterior cruciate ligament reconstruction (ACLR) is a comprehensive, precise process
involving an accurate diagnosis of the ACL rupture and numerous concomitant injuries, an …

Similar two‐year improvement in patient‐reported outcomes in patients 40 years and older with outerbridge grade III and IV lesions following ACL reconstruction

RM Kleinsmith, SA Doxey, HD Puckett… - Knee Surgery …, 2024 - Wiley Online Library
Purpose This study aims to evaluate clinical and patient‐reported outcome measures
(PROMs) of patients 40 years and older that underwent anterior cruciate ligament …

Anterior Cruciate Ligament Allograft Reconstruction Outcome Independent of Patient's Age

P Rana, J Brennan, A Astavans… - Journal of …, 2024 - journals.lww.com
Materials and Methods: This retrospective study included 482 patients who underwent
primary ACLR using a bone patella tendon bone allograft. Data on patient demographics …