Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.

The complex relationships between continuously monitored health signals and therapeutic regimens can...

Artificial intelligence: Machine learning approach for screening large database and drug discovery.

Recent research in drug discovery dealing with many faces difficulties, including development of new...

Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.

INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and r...

Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines.

BACKGROUND: Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision ...

Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program.

PURPOSE: We examine the rate of and reasons for follow-up in an Artificial Intelligence (AI)-based w...

Integration of Deep Learning and Sequential Metabolism to Rapidly Screen Dipeptidyl Peptidase (DPP)-IV Inhibitors from .

Traditional Chinese medicine (TCM) possesses unique advantages in the management of blood glucose an...

Robot-Assisted Extraperitoneal Radical Prostatectomy for Giant Multilocular Prostatic Cystadenoma: A Case Report and Literature Review.

A 48-year-old man with a medical history of hypertension and no family history of prostate cancer pr...

Virtual screening and invitro evaluation of cyclooxygenase inhibitors from using the machine learning tool.

has a variety of compounds, and some of these compounds may have anti-inflammatory and antioxidant ...

Effect of SARS-CoV-2 spike protein exposure on ACE2 and interleukin 6 productions in human adipocytes: An in-vitro study.

Since adipocytes play a crucial role in pathogenesis of severe acute respiratory syndrome coronaviru...

Disparities in Diagnosis, Access to Specialist Care and Treatment for Inborn Errors of Immunity.

Inborn errors of immunity represent a rapidly expanding group of genetic disorders of the immune sys...

Predicting mortality in brain stroke patients using neural networks: outcomes analysis in a longitudinal study.

In this study, Neural Networks (NN) modelling has emerged as a promising tool for predicting outcome...

Risk prediction models for postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a scoping review.

OBJECTIVE: The objective of this scoping review was to investigate the effectiveness and limitations...

Deep learning and targeted metabolomics-based monitoring of chewing insects in tea plants and screening defense compounds.

Tea is an important cash crop that is often consumed by chewing pests, resulting in reduced yields a...

Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening.

Structure-based virtual screening has been a crucial tool in drug discovery for decades. However, as...

Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.

The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various...

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