Primary Care

Preventive Care

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

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Showing 2621-2640 of 9,129 articles

Free-Living Hip Accelerometry Predicts Frailty Status and 12-Month Frailty Decline in Older Adults

Frailty is a clinical syndrome in older adults characterized by heightened vulnerability to adverse outcomes, yet it remains under-assessed in routine practice due to time-intensive evaluation methods. Wearable accelerometers offer a promising approach for passive, continuous frailty monitoring. We analyzed data from 151 community-dwelling older adults (≥65 years) in the FACE Aging Study who wore ...

Automating Handwritten Vaccination Record Transcription with Generative Multimodal AI Models: A Proof of Concept Study from The Gambia

Handwritten home-based vaccination records (HBRs) are a vital source of immunization data, yet manual transcription in household surveys is time-consuming, error-prone, and resource-intensive. Recent advances in multimodal generative AI models offer a potential pathway to partially automate this task under certain conditions, improving efficiency while maintaining data quality. We evaluated the pe...

Not So Fast, I’m Serofast: Using Innovative Education Techniques to Drive Management of People with Syphilis

An increase in syphilis cases in the United States and the global shortage of Benzathine Penicillin G (BPG) calls for evidence-based optimization. Con...

Validation of Synthesa AI, a Large Language Model-Based Screening Tool for Systematic Reviews: Results from Nine Studies

Systematic review screening is often burdensome, prone to human error, and requires significant manual effort. Synthesa AI, a large language model (LL...

Characteristics and Early Diagnosis of Motor Neuron Disease (MND) in 67 million individuals in England: a comparative study on phenotyping models derived by AI, Knowledge Graphs and the MND Association

Motor neuron disease (MND) is a rapidly progressive and fatal neurodegenerative condition, making early diagnosis critical for optimizing patient outc...

Leveraging Large Language Models and Patient Portal Messages for Early Identification of Depression

Large language model (LLM)-assisted early warning system may help overcome existing barriers to timely depression diagnosis in patients with cardiovas...

Weakly Supervised Active Learning for Abstract Screening Leveraging LLM-Based Pseudo-Labeling

Abstract screening is a notoriously labour-intensive step in systematic reviews. AI-aided abstract screening faces several grand challenges, such as t...

Performance of Universal and Stratified Computer-Aided Detection Thresholds for Chest X-Ray-Based Tuberculosis Screening: A Cross-Sectional Diagnostic Accuracy Study

Computer-aided detection (CAD) software analyzes chest X-rays for features suggestive of tuberculosis (TB) and provides a numeric abnormality score. H...

The African Breast Imaging Dataset for Equitable Cancer Care: Protocol for an Open Mammogram and Ultrasound Breast Cancer Detection Dataset

Breast cancer is one of the most common cancers globally. Its incidence in Africa has increased sharply, surpassing that in high-income countries. Mor...

Comparative Analysis of Long COVID and Post-Vaccination Syndrome: A Cross-Sectional Study of Clinical Symptoms and Machine Learning-Based Differentiation

Long COVID is a well-documented post-viral syndrome, while post-vaccination syndrome (PVS) remains poorly characterized. Understanding their similarit...

Protective Dietary Antioxidants Intake Attenuate Cardiovascular-Kidney-Metabolic Syndrome Progression

Cardiovascular-kidney-metabolic (CKM) syndrome is characterized by complex pathophysiological interactions among cardiovascular diseases, and chronic ...

The Development and Evaluation of AI-based Tuberculosis Screening with a Digital Stethoscope used to Capture Lung Sounds. A Case-Control Study

Tuberculosis (TB) remains a leading global cause of preventable death, with 10.8 million cases and 1.3 million deaths reported in 2023. Current method...

Spatial Distribution and Associated Factors Influencing 2024 Measles-Rubella Vaccination Campaign Coverage among Children Aged 9–59 Months in Mainland Tanzania

Globally, measles remains a major cause of child mortality, and rubella is the leading cause of birth defects among all infectious diseases. In Mainla...

Closing the Lung Cancer Screening Gap in FQHCs with AI-Powered Clinical Decision Support

Lung cancer remains the leading cause of cancer-related mortality in the United States, with screening adherence rates below 16% nationally and even l...

A Plasma-based Deep Proteomic Platform for Early-Stage Breast Cancer Detection

Despite the widespread use of mammography as the standard of care for breast cancer screening, its accuracy remains limited for select patient populat...

Risk prediction for lung cancer screening: a systematic review and meta-regression

Lung cancer (LC) is the leading cause of cancer mortality, often diagnosed at advanced stages. Screening reduces mortality in high-risk individuals, b...

Candidate Correlates of Protection in the HVTN505 HIV-1 Vaccine Efficacy Trial Identified by Positive-Unlabeled Learning

With a goal of unveiling mechanisms by which vaccines can provide protection against HIV-1 acquisition, several studies have explored correlates of ri...

Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infants

Bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH) are leading causes of morbidity and mortality in premature infants. To determine whet...

Identifying High-Risk Adolescents for Mental Health Difficulties: A Machine Learning Analysis of the Health Behaviour in School-aged Children Study Across 46 Countries

Adolescent mental health represents a global public health crisis, yet traditional surveillance methods lack the scalability and predictive power need...

MedRAGent: An Automatic Literature Retrieval and Screening System Utilizing Large Language Models with Retrieval-Augmented Generation

Systematic reviews play a critical role in synthesizing evidence across numerous studies, providing a foundation for informed decision-making in medic...

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