The New England Journal of Medicine

Pulsed Field Ablation as Initial Therapy for Persistent Atrial Fibrillation

Guidelines recommend a trial of antiarrhythmic drugs before catheter ablation for persistent atrial fibrillation. Whether pulsed field ablation (PFA) may be a preferred initial treatment is unclear.
SciELO

Subclinical varicose vein recurrence: modern approaches in aesthetic phlebology

Background Recurrence after varicose vein treatment is usually framed as varices on a previously treated limb, potentially overlooking patients with cosmetic C0–C1 concerns who still experience duplex ...
IEEE

Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault

Abstract: Accurate offset measurement is crucial for recovering the size of past earthquakes and understanding the recurrence patterns of strike-slip faults. Traditional methods, which rely on manual ...
BMJ

Efficacy and safety of an algorithm using C-reactive protein to guide antibiotic therapy applied through a digital clinical decision support system: a study protocol for a ...

Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...
Frontiers

Synthetic minority over-sampling technique-enhanced machine learning models for predicting recurrence of postoperative chronic subdural hematoma

Chronic subdural hematoma (CSDH) is a neurological condition with high recurrence rates, primarily observed in the elderly population. Although several risk factors have been identified, predicting ...
ascopubs.org

Using Machine Learning to Leverage Biomarker Change and Predict Colorectal Cancer Recurrence

We used electronic health record data from an integrated health system on a cohort of patients diagnosed with American Joint Committee on Cancer stage I-III CRC between 2008 and 2013 (N = 3,970) and ...
leewayhertz

AI in anomaly detection: Use cases, methods, algorithms and solution

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Frontiers

Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...
Nature

A versatile computational algorithm for time-series data analysis and machine-learning models

Here we present Local Topological Recurrence Analysis (LoTRA), a simple yet versatile analysis method that helps overcome these limitations that can be used to reveal highly discriminant recurring ...
IEEE

Uncertainty Quantification Analysis of Wind Power: A Data-Driven Monitoring-Forecasting Framework

Abstract: Advances in wind power system modeling have produced widespread socioeconomic benefits for alleviating global environmental problems. However, previous studies mainly payed attention to ...