AIMC Topic: Patient Reported Outcome Measures
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Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality.
Journal of patient-reported outcomes
Nov 5, 2024
PURPOSE: To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of...
External Validation Demonstrates Machine Learning Models Outperform Human Experts in Prediction of Objective and Patient-reported Overactive Bladder Treatment Outcomes.
Urology
Sep 4, 2024
OBJECTIVE: To predict treatment response for overactive bladder (OAB) for a specific patient remains elusive. We sought to develop accurate models using machine learning for prediction of objective and patient-reported treatment response to intravesi...
Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review.
European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Aug 30, 2024
INTRODUCTION: Machine learning (ML) models may offer a novel solution to reducing postoperative complication rates and improving post-surgical outcomes after total joint arthroplasty (TJA). However, the variety of different ML models that exist paire...
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures.
BMC medical informatics and decision making
Jul 23, 2024
BACKGROUND: The frequency of hip and knee arthroplasty surgeries has been rising steadily in recent decades. This trend is attributed to an aging population, leading to increased demands on healthcare systems. Fast Track (FT) surgical protocols, peri...
Surgical factors play a critical role in predicting functional outcomes using machine learning in robotic-assisted total knee arthroplasty.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
May 31, 2024
PURPOSE: Predictive models help determine predictive factors necessary to improve functional outcomes after total knee arthroplasty (TKA). However, no study has assessed predictive models for functional outcomes after TKA based on the new concepts of...
BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management.
PloS one
May 10, 2024
BACKGROUND: Low back pain (LBP) is a major global disability contributor with profound health and socio-economic implications. The predominant form is non-specific LBP (NSLBP), lacking treatable pathology. Active physical interventions tailored to in...
The usefulness of artificial intelligence in breast reconstruction: a systematic review.
Breast cancer (Tokyo, Japan)
Apr 15, 2024
BACKGROUND: Artificial Intelligence (AI) offers an approach to predictive modeling. The model learns to determine specific patterns of undesirable outcomes in a dataset. Therefore, a decision-making algorithm can be built based on these patterns to p...
Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review.
Expert review of pharmacoeconomics & outcomes research
Mar 5, 2024
INTRODUCTION: Patient-reported outcomes (PROs; symptoms, functional status, quality-of-life) expressed in the 'free-text' or 'unstructured' format within clinical notes from electronic health records (EHRs) offer valuable insights beyond biological a...
Development of a Machine-Learning Model for Anterior Knee Pain After Total Knee Arthroplasty With Patellar Preservation Using Radiological Variables.
The Journal of arthroplasty
Feb 15, 2024
BACKGROUND: Anterior knee pain (AKP) following total knee arthroplasty (TKA) with patellar preservation is a common complication that significantly affects patients' quality of life. This study aimed to develop a machine-learning model to predict the...
Patient-reported outcomes of mesh in minimally invasive (laparoscopic/robot-assisted) immediate subpectoral prosthesis breast reconstruction: a retrospective study.
Breast cancer (Tokyo, Japan)
Feb 2, 2024
BACKGROUND: Although there is increasing interest in minimally invasive prosthesis breast reconstruction (PBR), whether meshes application in minimally invasive PBR can improve complications and cosmetic effects remains controversial. The author retr...
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