AIMC Topic: Predictive Value of Tests
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Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer.
JCO clinical cancer informatics
Mar 1, 2020
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, Cox regression). Here we define and evaluat...
Identification of prognostic immune-related signature predicting the overall survival for colorectal cancer.
European review for medical and pharmacological sciences
Feb 1, 2020
OBJECTIVE: The morbidity and mortality of patients with colorectal cancer, one of the most common malignant tumors worldwide, is steadily increasing. The aim of this study was to investigate the association between prognostic immune-related gene prof...
Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.
Clinical orthopaedics and related research
Feb 1, 2020
BACKGROUND: A preoperative estimation of survival is critical for deciding on the operative management of metastatic bone disease of the extremities. Several tools have been developed for this purpose, but there is room for improvement. Machine learn...
Boston
Bone Neoplasms
Predictive Value of Tests
Patient Selection
Orthopedic Procedures
Reproducibility of Results
Risk Factors
Aged
Decision Support Techniques
Male
Retrospective Studies
Humans
Middle Aged
Clinical Decision-Making
Machine Learning
Female
Risk Assessment
Time Factors
Treatment Outcome
An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Neurosurgery
Feb 1, 2020
BACKGROUND: Although survival statistics in patients with glioblastoma multiforme (GBM) are well-defined at the group level, predicting individual patient survival remains challenging because of significant variation within strata.
Machine learning-based prediction of response to growth hormone treatment in Turner syndrome: the LG Growth Study.
Journal of pediatric endocrinology & metabolism : JPEM
Jan 28, 2020
Background Growth hormone (GH) treatment has become a common practice in Turner syndrome (TS). However, there are only a few studies on the response to GH treatment in TS. The aim of this study is to predict the responsiveness to GH treatment and to ...
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.
European heart journal
Jan 14, 2020
AIMS: Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and t...
Artificial Intelligence and Machine Learning in Cardiovascular Imaging.
Methodist DeBakey cardiovascular journal
Jan 1, 2020
Cardiovascular disease is the leading cause of mortality in Western countries and leads to a spectrum of complications that can complicate patient management. The emergence of artificial intelligence (AI) has garnered significant interest in many ind...
High-accuracy Automated Diagnosis of Parkinson's Disease.
Current medical imaging
Jan 1, 2020
PURPOSE: Parkinson's disease (PD), which is the second most common neurodegenerative disease following Alzheimer's disease, can be diagnosed clinically when about 70% of the dopaminergic neurons are lost and symptoms are noticed. Neuroimaging methods...
Artificial Intelligence in Cardiovascular Imaging.
Methodist DeBakey cardiovascular journal
Jan 1, 2020
The number of cardiovascular imaging studies is growing exponentially, and so is the need to improve clinical workflow efficiency and avoid missed diagnoses. With the availability and use of large datasets, artificial intelligence (AI) has the potent...
Virtual fractional flow reserve and virtual coronary stent guided percutaneous coronary intervention.
Cardiology journal
Jan 1, 2020
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