Primary Care

Global Research Trends and Insights on AI Usage in Tuberculosis: Bibliometric Analysis.

BACKGROUND: Tuberculosis (TB) remains a major global health challenge despite prevention efforts. AI...

Exploring Bias in Medical Applications of Large Language Models: Protocol for a Systematic Review.

BACKGROUND: Large language models (LLMs) are increasingly applied in health care for clinical decisi...

Corrigendum to 'A Machine Learning Approach to Prioritize Place-Based Prevention to Address Cardiovascular Disease Burden in New York City' [American Journal of Preventive Medicine 71 (2026) 108484].

Risk Model for Adult Congenital Cardiac Reoperations: Analysis of the Society of Thoracic Surgeons Adult Cardiac Surgery Database (STS-ACSD).

BACKGROUND: Accurate risk prediction is essential for informed clinician-patient decision making in ...

Artificial intelligence in advanced liver disease: From risk stratification to decision.

The diagnosis and management of liver cirrhosis and portal hypertension have been challenging for hu...

Clinical heterogeneity mapping and machine learning-based prediction of recurrence in gallstone disease: a retrospective cohort study of 9,939 patients.

BACKGROUND: Gallstone disease constitutes a substantial global health burden, characterized by notab...

An Algorithm for Identifying Microvascular Complications in Type 1 Diabetes in the Clinical Setting: Development and External Validation.

Background: To facilitate appropriate medical stratification in clinical settings, this research lev...

Medical AI across Data Regimes to Promote Proactive Health.

IMPORTANCE: Proactive health has emerged as a transformative paradigm in modern public health, shift...

Point-of-care echocardiography screening for hypertrophic cardiomyopathy using automated deep-learning analysis.

AIMS: Hypertrophic cardiomyopathy (HCM) remains underdiagnosed due to limited access to expert imagi...

Artificial Intelligence and Complementary Digital Health Technologies Across the Travel Medicine Continuum: A Narrative Review.

BACKGROUND: Artificial intelligence (AI) and complementary digital health technologies are increasin...

Perceptions of Incidental Findings on Lung Cancer Screening Exams: A National Survey of Primary Care Clinicians and Radiologists.

RATIONALE: Unlike other common cancer screenings, annual lung cancer screening often identifies a sp...

Using Machine Learning to Identify Social Risk Factors of Hypertension and Diabetes in New York City: Evidence to Support the HealthyNYC Initiative.

BACKGROUND: New York City (NYC) launched the HealthyNYC initiative in 2025, aiming to reduce cardiov...

Association of an AI-Enabled Gamified Mobile Health App on Blood Pressure Outcomes in a Matched Cohort.

BACKGROUND: Hypertension affects nearly half of adults in the USA and remains a major contributor to...

Large Language Models for Distress Rating in Korean Psycho-Oncology Interviews: Exploratory Clinician-Benchmarked Evaluation Study.

BACKGROUND: Psychiatric distress is common among patients with cancer; yet, systematic interview-bas...

Exploring the Molecular Mechanisms of Weifuchun in the Treatment of Chronic Atrophic Gastritis Based on Single-cell Sequencing and Machine Learning.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic atrophic gastritis (CAG) is a common precancerous lesion of ...

MitoLatentProfiler: ROI-constrained deep learning for mitochondrial phenotyping in human myotubes.

Mitochondrial network organization in skeletal muscle reflects metabolic health and is disrupted in ...

DINOv2-Pretrained Vision Transformers for Stroke and Heart Failure Detection from Chest X-rays with Limited Labeled Data.

Cardiovascular and cerebrovascular diseases are leading causes of death worldwide, motivating scalab...

Patient satisfaction and performance of the A8+ TouchCare Nano in children and adolescents with type 1 diabetes mellitus.

BACKGROUND: The role of automated insulin delivery systems in type 1 diabetes mellitus (T1DM) is con...

State-of-the-art review in AI and digital technologies for spine deformity.

PURPOSE: Artificial intelligence (AI) and digital technologies are increasingly being used across th...

FedMediFormer-XAI: Federated Multimodal Transformers with Diffusion Augmentation and Graph-Based Drug Recommendation for Diabetes.

Diabetes management faces a number of obstacles, such as fragmented healthcare data, privacy concern...

Rationale and design of a nationwide prospective cohort study in type 2 diabetic kidney disease: the Korean Diabetic Kidney Disease (K-DKD) Cohort.

BACKGROUND: Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD) wo...