Primary Care

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

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iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms.

Diabetes mellitus is a chronic metabolic disease, which causes an imbalance in blood glucose homeost...

Jul 2023 37499224
Deep learning-enabled discovery and characterization of HKT genes in Spartina alterniflora.

Spartina alterniflora is a halophyte that can survive in high-salinity environments, and it is phylo...

Jul 2023 37494542
Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.

PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnan...

Jul 2023 37477677
Non-invasive arterial blood pressure measurement and SpO estimation using PPG signal: a deep learning framework.

BACKGROUND: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial rol...

Jul 2023 37480040
Attention-based deep learning framework to recognize diabetes disease from cellular retinal images.

A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many ...

(2)
Jul 2023 37473447
Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition.

This study uses artificial intelligence for testing (1) whether the comorbidity of diabetes and its ...

Jul 2023 37468531
A Review of the Systemic Manifestations of Hepatitis B Virus Infection, Hepatitis D Virus, Hepatocellular Carcinoma, and Emerging Therapies.

Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...

(1)
Jul 2023 39129946
Safe screening rules for multi-view support vector machines.

Multi-view learning aims to make use of the advantages of different views to complement each other a...

(2)
Jul 2023 37541164
Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...

(1)
Jul 2023 37455284
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs.

Deep learning (DL) models can harness electronic health records (EHRs) to predict diseases and extra...

(2)
Jul 2023 37419921
New Robotic Platforms in General Surgery: What's the Current Clinical Scenario?

: Robotic surgery has been widely adopted in general surgery worldwide but access to this technology...

Jul 2023 37512075
The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology.

The growing transition to digital microbiology in clinical laboratories creates the opportunity to i...

Jul 2023 37395657
Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.

BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...

Jul 2023 37393408
Utility of ChatGPT in Clinical Practice.

ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical pra...

(2)
Jun 2023 37379067
Chapter 8: Risk Assessment: Considerations for Coronal Caries.

Caries risk assessment (CRA) is essential to delivering personalized/precision care in caries manage...

(1)
Jun 2023 37364556
Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.

OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT im...

Jun 2023 37455915
Discovery of a Novel DCAF1 Ligand Using a Drug-Target Interaction Prediction Model: Generalizing Machine Learning to New Drug Targets.

DCAF1 functions as a substrate recruitment subunit for the RING-type CRL4 and the HECT family EDVP E...

Jun 2023 37350740
Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations.

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately...

Jun 2023 37354819
Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.

Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...

Jun 2023 37339986
Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.

INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk ...

(1)
Jun 2023 37329635
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