AIMC Topic: Recurrence

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Artificial Inteligence-Based Decision for the Prediction of Cardioembolism in Patients with Chagas Disease and Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 13, 2021
BACKGROUND: Chagas disease (CD) and ischemic stroke (IS) have a close, but poorly understood, association. There is paucity of evidence on the ideal secondary prophylaxis and etiological determination, with few cardioembolic patients being identified...
Retrospective Studies Electronic Health Records Female Risk Factors Aged Humans Artificial Intelligence Decision Support Techniques Predictive Value of Tests Ischemic Stroke Recurrence Embolic Stroke Chagas Disease Male Middle Aged Risk Assessment Brazil Age Factors
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Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection.

Journal of translational medicine Jun 30, 2021
BACKGROUND: Surgical resection is the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC) and the survival of patients after radical resection is closely related to relapse. We aimed to develop models to predict the risk o...
Recurrence Humans Machine Learning ROC Curve Adenocarcinoma Support Vector Machine
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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.

Nature communications Apr 6, 2021
Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features ...
Humans Models, Biological Multiple Sclerosis Databases as Topic Recurrence Placebos Female Reproducibility of Results Adult Male Middle Aged Disease Progression Magnetic Resonance Imaging Unsupervised Machine Learning Randomized Controlled Trials as Topic
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Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.

American journal of nephrology Mar 19, 2021
BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk are important for clinical decision-making and individualized management to reduce LN flare.
Antibodies, Antinuclear Age Factors Models, Statistical Lupus Nephritis Humans Risk Factors Proportional Hazards Models Kaplan-Meier Estimate Machine Learning Young Adult Complement C3 Serum Albumin Clinical Decision-Making Adult Recurrence Female Male Symptom Flare Up Risk Assessment Capillaries
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A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

BMC medical imaging Mar 9, 2021
OBJECTIVE: To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF-) post-ablation recurrence and whether these shape differences predict AF recurrence.
Machine Learning Prognosis Retrospective Studies Female Aged Humans Catheter Ablation Recurrence Pulmonary Veins Atrial Appendage Male Middle Aged ROC Curve Atrial Fibrillation Heart Atria
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Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 8, 2021
Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, hampering the identification of high-risk populations. In this multicenter study, plasma samples are collected from patients with stable angina after PCI...
Tandem Mass Spectrometry Angina, Stable Recurrence Prospective Studies Biomarkers Female Risk Factors Male Middle Aged Risk Assessment Chromatography, Liquid Metabolome Percutaneous Coronary Intervention Humans Machine Learning
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Leveraging electronic health records data to predict multiple sclerosis disease activity.

Annals of clinical and translational neurology Feb 24, 2021
OBJECTIVE: No relapse risk prediction tool is currently available to guide treatment selection for multiple sclerosis (MS). Leveraging electronic health record (EHR) data readily available at the point of care, we developed a clinical tool for predic...
Electronic Health Records Female Adult Male Middle Aged Humans Disease Progression Machine Learning Longitudinal Studies Prognosis Registries Multiple Sclerosis Recurrence
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CKLF and IL1B transcript levels at diagnosis are predictive of relapse in children with pre-B-cell acute lymphoblastic leukaemia.

British journal of haematology Feb 23, 2021
Disease relapse is the greatest cause of treatment failure in paediatric B-cell acute lymphoblastic leukaemia (B-ALL). Current risk stratifications fail to capture all patients at risk of relapse. Herein, we used a machine-learning approach to identi...
Treatment Failure Chemokines Recurrence Precursor B-Cell Lymphoblastic Leukemia-Lymphoma MARVEL Domain-Containing Proteins Child Predictive Value of Tests Interleukin-1beta Acute Disease Survival Analysis Infant Transcriptome Adolescent Humans Child, Preschool Machine Learning Female Male Risk Assessment
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Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Circulation. Arrhythmia and electrophysiology Feb 12, 2021
[Figure: see text].
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Heart Atria Heart Rate Catheter Ablation Fractals Recurrence Treatment Outcome Pulmonary Veins Atrial Function, Left Action Potentials Risk Factors Predictive Value of Tests Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Atrial Fibrillation Risk Assessment
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Robot-assisted vs. laparoscopic repair of complete upside-down stomach hiatal hernia (the RATHER-study): a prospective comparative single center study.

Surgical endoscopy Feb 1, 2021
BACKGROUND: Complete upside-down stomach (cUDS) hernias are a subgroup of large hiatal hernias characterized by high risk of life-threatening complications and technically challenging surgical repair including complex mediastinal dissection. In a pro...
Recurrence Hernia, Hiatal Herniorrhaphy Treatment Outcome Robotics Laparoscopy Humans Stomach Prospective Studies Quality of Life
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