Primary Care

The predictive health index: a turning point in the transition from disease medicine to preventive medicine.

Targeted use of large language models for EHR-based computable phenotyping.

OBJECTIVE: Computable phenotypes derived from electronic health records (EHRs) are central to clinic...

Comparative assessment of diagnostic agreement between artificial intelligence and general practitioners in diabetic retinopathy screening using non-mydriatic fundus photography.

AIMS: To assess the diagnostic agreement between an artificial intelligence (AI) system and general ...

Prospective Data Curation Enables High-Performance Artificial Intelligence for Diabetic Retinopathy Screening in a Resource-Limited Setting.

PURPOSE: To determine whether a high-quality, prospectively curated dataset can, by itself, enable t...

Integrated multi-omics analysis identifies TBC1D10C as an NK- and T cell-associated diagnostic biomarker in childhood obesity.

Childhood obesity is a growing global health crisis associated with an increased risk of metabolic a...

Artificial Intelligence in Cardiovascular Disease Prevention: Current Applications and Future Perspectives.

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, emphas...

MAISNet: A Multi-Species Integrated Graph Neural Network for Acetylcholinesterase Inhibitor Screening.

MOTIVATION: Global population aging has led to a rapid increase in neurodegenerative disorders such ...

Deep learning in population-based screening for glaucoma.

BACKGROUND/AIMS: Deep learning algorithms have shown promise for glaucoma detection using retinal im...

Artificial intelligence in public health-challenges and opportunities.

AI solutions are frequently presented as promising solutions to a wide range of global challenges, i...

Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study.

Interest in large language models (LLMs) as a tool for meta-analyses and systematic reviews (MA/SRs)...

Decision support systems (DSS) for predicting hypertensive events using real-world telemonitoring data.

OBJECTIVE: This study contributes to the limited literature on applying machine learning (ML) to tel...

Identification and Validation of Transcriptomic Signatures in Inflammatory Bowel Disease with Metabolic Syndrome via Bioinformatics and Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecti...

Risk-Guided Atrial Fibrillation Screening With Artificial Intelligence-Enabled Electrocardiogram Models: A VITAL-AF Trial Analysis.

BACKGROUND: Screening for atrial fibrillation (AF) may lead to earlier detection and initiation of p...

AI-Driven Speech Analysis for Mental Health Prediction in Individuals with Voice Disorders.

BACKGROUND AND OBJECTIVE: Mental health disorders are common among individuals with voice disorders,...

Integrated multi-omics and machine learning identify Casp8 and Pycard as central regulators of pyroptosis and necroptosis in spinal cord injury.

Programmed cell death pathways exacerbate secondary damage after spinal cord injury, yet their share...

Use of Continuous Glucose Monitoring With Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes.

The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysio...

Gated Backbone Fusion with Transformer Encoder for Diabetic Foot Osteomyelitis Screening and Localization in Radiographs.

Diabetic foot osteomyelitis (DFO) is a leading cause of lower-extremity complications in individuals...

User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.

BACKGROUND: Artificial intelligence-powered conversational agents (ie, chatbots) are increasingly po...

Using Large Language Models to Determine Reasons for Missed Colon Cancer Screening Follow-Up.

BACKGROUND: Identifying reasons for missed preventive care, such as follow-up colonoscopy after an a...

AI-based classification of pediatric sagittal skeletal patterns using multi-view facial photographs.

OBJECTIVE: The increasing global demand to assess pediatric skeletal malocclusions poses a growing c...

Accuracy of ChatGPT, Gemini, Claude and DeepSeek in Carbohydrate Counting.

AIMS: To evaluate the accuracy of four general-purpose artificial intelligence (AI) models-ChatGPT (...