Primary Care

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a ...

The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study.

BACKGROUND: People living with chronic diseases are increasingly seeking health information online. ...

Digital Diabetes Management Technologies for Type 2 Diabetes: A Systematic Review of Home-Based Care Interventions.

Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glyce...

Early Detection and Remote Care of Frailty for Older Adults Living in Sparsely Populated Rural Areas in Hokkaido, Japan: A Case Study.

The global increase in the number of older people aged 65 and over is causing concern in healthcare ...

Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization.

BACKGROUND: Epstein-Barr virus (EBV) is a ubiquitous herpesvirus that is known to cause infectious m...

Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension.

BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening pa...

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...

Deep Eutectic Solvent Extraction Assisted Ligand Affinity Assay for α-Glucosidase Inhibitors Screening From the Plasma of Rats Administrated Pueraria lobata Extracts.

In this work, for the first time, a deep eutectic solvent assisted ligand affinity assay was propose...

Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.

It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...

Artificial Intelligence in Screening Mammography: How Do Patients Feel?

Advancing Toward a World Without Vision Loss From Diabetes: Insights From The Mary Tyler Moore Vision Initiative Symposium 2024 on Curing Vision Loss From Diabetes.

The Mary Tyler Moore Vision Initiative (MTM Vision) honors Mary Tyler Moore's commitment to ending v...

Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.

IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insuli...

Expert consensus document on artificial intelligence of the Italian Society of Cardiology.

Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...

Exploratory Analysis of Nationwide Japanese Patient Safety Reports on Suicide and Suicide Attempts Among Inpatients With Cancer Using Large Language Models.

OBJECTIVE: Patients with cancer have a high risk of suicide. However, evidence-based preventive meas...

Implementing artificial intelligence in breast cancer screening: Women's preferences.

BACKGROUND: Artificial intelligence (AI) could improve accuracy and efficiency of breast cancer scre...

Patient Perception of Artificial Intelligence Use in Interpretation of Screening Mammograms: A Survey Study.

Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of s...

Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.

Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...

Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...

High-performance automated abstract screening with large language model ensembles.

OBJECTIVE: screening is a labor-intensive component of systematic review involving repetitive applic...

External Testing of a Commercial AI Algorithm for Breast Cancer Detection at Screening Mammography.

Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the ...

Performance of Two Deep Learning-based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway.

Purpose To evaluate cancer detection and marker placement accuracy of two artificial intelligence (A...