Primary Care

Accuracy of portable artificial intelligence-supported fundus camera in the screening of diabetic retinopathy in primary care.

OBJECTIVE: Research on the use of portable fundus cameras utilizing artificial intelligence (AI) for...

Global Diabetes: Rapidly Changing Landscape and a Rising Tide of Opportunities: The 2025 Distinguished International Service in the Cause of Diabetes Award Lecture.

Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- an...

[Artificial intelligence in hypertension: where do we stand?].

Artificial intelligence (AI) is entering the study of hypertension, serving both primarily clinical ...

Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study.

Scalable, non-invasive tools are critically needed to improve early lung cancer detection and optimi...

Hexagonal Hollow-Core Photonic Crystal Fiber for High-Sensitivity Terahertz Glucose Detection.

Diabetes mellitus is a rapidly escalating global health concern, often leading to severe complicatio...

Exploratory Analysis of Factors Associated With Pressure Injuries in Surgical Patients Assessed With the ELPO Scale.

OBJECTIVE: The objective of this study is to analyse predictors associated with pressure injury occu...

Determinants of Intentional Pharmaceutical Poisoning: A Cross-Sectional Study From a Referral Poisoning Center in Iran.

Pharmaceutical poisoning is a major health concern and a leading method of intentional self-poisonin...

From Shadows to Signals: Exploring the Strengths and Limitations of AI in Breast Cancer Lesion Detection on Screening Mammograms Compared to Radiologists and Radiology Trainees.

OBJECTIVES: Breast cancer screening with mammography reduces mortality, but interpretation errors pe...

An Effective Machine Learning for Prioritizing Hearing Loss Screening in Older Adults: A Primary Care Approach.

BACKGROUND/OBJECTIVES: The high prevalence of hearing impairment in older adults and the scarcity of...

Baseline biochemical evaluation for etiologic differentiation in ACTH-dependent Cushing's syndrome: machine learning and composite score analysis in a multicenter cohort of 566 patients.

BACKGROUND: Limited availability of corticotropin-releasing hormone (CRH) currently complicates the ...

From Data to Early Diagnosis: Artificial Intelligence as a Tool to Support Screening and Detection of Autism Spectrum Disorder in Childhood.

PURPOSE OF REVIEW: Autism spectrum disorder (ASD) is a neurodevelopmental condition with significant...

Perspectives of Individuals With Obsessive-Compulsive Disorder on the Role of Artificial Intelligence in Therapy and Treatment: Thematic Qualitative Study.

BACKGROUND: AI has become increasingly used in mental health care for applications such as diagnosis...

Skeletal muscle reprogramming of metabolic, ribosomal and developmental pathways contributes to Roux-en-Y gastric bypass-induced adaptation in women.

BACKGROUND: Understanding how skeletal muscle responds to weight loss is crucial for developing targ...

Mitochondria-associated protein UQCRH serves as a potential target in mild cognitive impairment of type 1 diabetes mellitus mice.

Type 1 diabetes mellitus (T1DM) and cognitive impairment (CI) are diseases impacting human health. M...

Artificial intelligence tools for the assessment and management of dysphagia: a scoping review.

OBJECTIVES: To explore the existing artificial intelligence (AI) tools used in the assessment and ma...

Integrative multi-omics and machine learning identify CHRNA1 putative circadian-immune hub in COPD.

BACKGROUND: Circadian rhythm disruption is increasingly recognized as a contributor to chronic infla...

Artificial intelligence and hypertension management: experience the journey but fasten your seatbelt.

Identifying the Most Important Influencing Factors Based on Demographic Information, Nutrition, Physical Activity, Leisure Time, and Underlying Diseases in the Severity of Disease in COVID-19 Patients Using Data Mining Techniques.

BACKGROUND AND AIMS: The COVID-19 pandemic has affected millions of individuals worldwide and result...

A synergistic deep learning and machine learning framework for screening heterocyclic compounds against ALDH1A1.

Aldehyde dehydrogenase 1A1 (ALDH1A1) has emerged as a promising therapeutic target because of its cr...

Measuring Consistency Between Large Language Models' Responses to Preventive Care Queries and Official US Preventive Services Task Force (USPSTF) Recommendations: Systematic Test Involving All USPSTF Preventive Care Topics via Simulated User Prompts.

BACKGROUND: Large language models (LLMs) have the potential to provide individualized preventive car...

Recent advances in screening, diagnosis, prognosis and personalized treatment of sepsis.

Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection...