Primary Care

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

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NOTICE-ED: Nurse or Technician Insights Into Cognitive Evaluations in the Emergency Department.

BACKGROUND: Several strategies have been proposed to increase chronic cognitive impairment (CI) scre...

KEM-IoMT: Knowledge graph embedding-enhanced accurate medical service recommendation against diabetes.

The Internet of Medical Things (IoMT)-enhanced Recommender System (RS) acquired swift advancement in...

Geospatial analysis of short sleep duration and cognitive disability in US adults: a multi-state study using machine learning techniques.

BACKGROUND: There is evidence of increased risk of cognitive disability due to short sleep duration ...

Searching for peripheral proteomic markers of primary aldosteronism.

PURPOSE: Primary aldosteronism (PA) is prevalent among hypertensive patients, and associated with wo...

Establishing predictive machine learning models for drug responses in patient derived cell culture.

The concept of personalised medicine in cancer therapy is becoming increasingly important. There alr...

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study.

BACKGROUND: Diabetic foot problems are among the most debilitating complications of diabetes mellitu...

Towards Artificial Intelligence-based Decision Support for Large-scale Screening for Atrial Fibrillation.

Atrial fibrillation is a prevalent cardiac arrhythmia, significantly increasing the risk of stroke, ...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

A Conceptual Framework to Understand the Relationships Between Digital Wellness and Artificial Intelligence.

Digital wellness focuses on the healthy relationships individuals develop with technology to thrive,...

Left ventricular systolic dysfunction screening in muscular dystrophies using deep learning-based electrocardiogram interpretation.

BACKGROUND: Routine echocardiographic monitoring is recommended in muscular dystrophy patients to de...

A multimodal dataset for coronary microvascular disease biomarker discovery.

Coronary microvascular disease (CMD), particularly prevalent among women, is associated with increas...

Patterns of calcitonin gene-related peptide monoclonal antibody use in people with migraine: Results of the OVERCOME (US) study.

BackgroundUnderstanding characteristics and reasons associated with using calcitonin gene-related pe...

Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?

Cervical cancer remains a leading cause of cancer-related death among women globally, despite the av...

Atomic Ga Site Enables Photonanozymes with Specific Inhibition Modes for Primary Drug Screening.

Enzyme inhibition plays a crucial role in drug discovery by governing interactions between molecules...

Application of Artificial Intelligence (AI) in Health Promotion: A Case Study of an Experience From a Public Health Institution in Sri Lanka.

This case study explores the application of artificial intelligence (AI)-based technologies by the H...

UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines.

Virtual Screening (VS) of large compound libraries using Artificial Intelligence (AI) models is a hi...

Use of natural language processing to identify inflammatory breast cancer cases across a healthcare system.

Early identification and referral of inflammatory breast cancer (IBC) remains challenging within lar...

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project.

The increasing demand for population-wide genomic screening and the limited availability of genetic ...

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