Primary Care

Kashin-Beck disease diagnosis based on deep learning from hand X-ray images.

BACKGROUND AND OBJECTIVE: Kashin-Beck Disease (KBD) is a serious endemic bone disease leading to sho...

Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.

BACKGROUND: Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemi...

Stress detection using deep neural networks.

BACKGROUND: Over 70% of Americans regularly experience stress. Chronic stress results in cancer, car...

ARDD 2020: from aging mechanisms to interventions.

Aging is emerging as a druggable target with growing interest from academia, industry and investors....

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study.

BACKGROUND: Performing systematic reviews is a time-consuming and resource-intensive process.

Systems Approach to Pathogenic Mechanism of Type 2 Diabetes and Drug Discovery Design Based on Deep Learning and Drug Design Specifications.

In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for id...

Renoprotective role of bariatric surgery in patients with established chronic kidney disease.

BACKGROUND: Bariatric surgery (BS) has been postulated as the most effective measure for weight redu...

Beyond the : "Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model".

The Influence of Climate Parameters on Maintenance of Wind Farms-A Galician Case Study.

There are different monitoring procedures in wind farms with two main objectives: (i) to improve ene...

Artificial neural networks for simultaneously predicting the risk of multiple co-occurring symptoms among patients with cancer.

Patients with cancer often exhibit multiple co-occurring symptoms which can impact the type of treat...

Development and evaluation of deep learning for screening dental caries from oral photographs.

OBJECTIVES: To develop and evaluate the performance of a deep learning system based on convolutional...

Deep-Learning-Based Prediction of High-Risk Taxi Drivers Using Wellness Data.

BACKGROUND: Factors related to the wellness of taxi drivers are important for identifying high-risk ...

A conservative screening algorithm to determine candidacy for robotic mitral valve surgery.

OBJECTIVE: Patient selection for robotically assisted mitral valve repair remains controversial. We ...

Early Predictors of Gestational Diabetes Mellitus in IVF-Conceived Pregnancies.

OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with adverse maternal and fetal outcome...

Hemodynamic Characteristics and Outcomes of Pulmonary Hypertension in Patients Undergoing Tricuspid Valve Repair or Replacement.

BACKGROUND: The impact of pulmonary hypertension (PH) on outcomes after surgical tricuspid valve rep...

Prognostic Biomarkers for Thrombotic Microangiopathy after Acute Graft-versus-Host Disease: A Nested Case-Control Study.

Transplantation-associated thrombotic microangiopathy (TA-TMA) is a complication of allogeneic hemat...

Prediction of disease progression in patients with COVID-19 by artificial intelligence assisted lesion quantification.

To investigate the value of artificial intelligence (AI) assisted quantification on initial chest CT...

Next-Generation Bioelectric Medicine: Harnessing the Therapeutic Potential of Neural Implants.

Bioelectric medicine leverages natural signaling pathways in the nervous system to counteract organ ...

Application 2D Descriptors and Artificial Neural Networks for Beta-Glucosidase Inhibitors Screening.

Beta-glucosidase inhibitors play important medical and biological roles. In this study, simple two-v...

Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human ...

Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.

BACKGROUND: The aim of a recent research project was the investigation of the mechanisms involved in...