A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty
AP Kurmis - Arthroplasty, 2023 - Springer
Background Artificial intelligence (AI) has become involved in many aspects of everyday life,
from voice-activated virtual assistants built into smartphones to global online search …
from voice-activated virtual assistants built into smartphones to global online search …
Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A …
B Langenberger, A Thoma, V Vogt - BMC medical informatics and decision …, 2022 - Springer
Objectives To systematically review studies using machine learning (ML) algorithms to
predict whether patients undergoing total knee or total hip arthroplasty achieve an …
predict whether patients undergoing total knee or total hip arthroplasty achieve an …
Predicting whether patients will achieve minimal clinically important differences following hip or knee arthroplasty: a performance comparison of machine learning …
B Langenberger, D Schrednitzki… - Bone & Joint …, 2023 - boneandjoint.org.uk
Aims A substantial fraction of patients undergoing knee arthroplasty (KA) or hip arthroplasty
(HA) do not achieve an improvement as high as the minimal clinically important difference …
(HA) do not achieve an improvement as high as the minimal clinically important difference …
Concerns surrounding application of artificial intelligence in hip and knee arthroplasty: a review of literature and recommendations for meaningful adoption
Literature surrounding artificial intelligence (AI)-related applications for hip and knee
arthroplasty has proliferated. However, meaningful advances that fundamentally transform …
arthroplasty has proliferated. However, meaningful advances that fundamentally transform …
Machine learning in the prediction of trauma outcomes: a systematic review
Study objective Machine learning models carry unique potential as decision-making aids
and prediction tools for improving patient care. Traumatically injured patients provide a …
and prediction tools for improving patient care. Traumatically injured patients provide a …
Machine learning algorithms predict within one size of the final implant ultimately used in total knee arthroplasty with good-to-excellent accuracy
KN Kunze, EM Polce, A Patel, PM Courtney… - Knee Surgery, Sports …, 2022 - Springer
Purpose To develop a novel machine learning algorithm capable of predicting TKA implant
sizes using a large, multicenter database. Methods A consecutive series of primary TKA …
sizes using a large, multicenter database. Methods A consecutive series of primary TKA …
Patient selection in randomized controlled trials of total knee arthroplasty: a systematic review assessing inclusion criteria
ZA Beiene, KK Tanghe, CC Neitzke, C Hidaka… - JBJS, 2024 - journals.lww.com
Background: Patients undergo total knee arthroplasty (TKA) at widely disparate stages of
osteoarthritis, raising the possibility of high heterogeneity among patients enrolled in TKA …
osteoarthritis, raising the possibility of high heterogeneity among patients enrolled in TKA …
Who benefits from hip arthroplasty or knee arthroplasty? Preoperative patient-reported outcome thresholds predict meaningful improvement
B Langenberger, V Steinbeck… - Clinical Orthopaedics and …, 2024 - journals.lww.com
Background Hip arthroplasty (HA) and knee arthroplasty (KA) are high-volume procedures.
However, there is a debate about the quality of indication; that is, whether surgery is truly …
However, there is a debate about the quality of indication; that is, whether surgery is truly …
Application of machine learning to improve appropriateness of treatment in an orthopaedic setting of personalized medicine
The rise of personalized medicine and its remarkable advancements have revealed new
requirements for the availability of appropriate medical decision-making models. Computer …
requirements for the availability of appropriate medical decision-making models. Computer …
Artificial Intelligence for Clinically Meaningful Outcome Prediction in Orthopedic Research: Current Applications and Limitations
SJ Jang, J Rosenstadt, E Lee, KN Kunze - Current Reviews in …, 2024 - Springer
Abstract Purpose of Review Patient-reported outcome measures (PROM) play a critical role
in evaluating the success of treatment interventions for musculoskeletal conditions …
in evaluating the success of treatment interventions for musculoskeletal conditions …