Primary Care

A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification.

Biomedical text classification requires having training examples labeled by clinical specialists, a ...

Artificial intelligence to complement rather than replace radiologists in breast screening.

Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques.

Most screening tests for Diabetes Mellitus (DM) in use today were developed using electronically col...

Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.

Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different...

Automatic Wound Type Classification with Convolutional Neural Networks.

Chronic wounds are ulcerations of the skin that fail to heal because of an underlying condition such...

Towards Automated Screening of Literature on Artificial Intelligence in Nursing.

We evaluate the performance of multiple text classification methods used to automate the screening o...

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follo...

A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program.

OBJECTIVE: Reportedly, two-thirds of the patients who were positive for diabetes during screening fa...

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI.

Type 2 diabetes mellitus is a metabolic disorder of glucose management, whose prevalence is increasi...

Scaling AI Projects for Radiology - Causes and Consequences.

Artificial intelligence (AI) for radiology has the potential to handle an ever-increasing volume of ...

D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19.

Target prediction and virtual screening are two powerful tools of computer-aided drug design. Target...

Embedded AI system for interactive vision screen based on human action recognition.

In recent years, vision screening has emerged globally for employment (on a yearly basis) within pri...

Systematic TB screening using WHO radiograph categorisation and care outcomes.

An appropriate screening approach and quality care are crucial for TB programmes in prisons. This s...

A machine learning-based screening tool for genetic syndromes in children - Authors' reply.

A machine learning-based screening tool for genetic syndromes in children.

Influence of Robot-Assisted Partial Nephrectomy on Long-Term Renal Function as Assessed Using 99m-Tc DTPA Renal Scintigraphy.

The long-term split renal function after robot-assisted partial nephrectomy (RAPN) is yet to be elu...

[Automatic detection model of hypertrophic cardiomyopathy based on deep convolutional neural network].

The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk class...

Commentary: Artificial intelligence-based screening of retina.

Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.

IMPORTANCE: Automated deep learning (DL) analyses of fundus photographs potentially can reduce the c...

Assessing the Value of Artificial Intelligence in Retinopathy of Prematurity Screening-Be Specific With Regard to the Data.

Mass Deployment of Deep Neural Network: Real-Time Proof of Concept With Screening of Intracranial Hemorrhage Using an Open Data Set.

BACKGROUND: Intracranial hemorrhage (ICH) is considered an emergency that requires rapid medical or ...