Primary Care

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

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PDSNet: Patient-Disease Dual Spatial Similarity Neural Networks for Predicting Heart Failure Risk Using Short Electronic Health Records.

Heart failure (HF) is a complex and heterogeneous syndrome caused by diverse factors, such as atrial...

Multi-modal classification of retinal disease based on convolutional neural network.

Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irre...

The usability and feasibility of a self-compassion chatbot (COMPASS) for youth living with type 1 diabetes.

AIM: Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of ...

Differential effects of demographics and risk factors on the nonlinear orthotropic mechanical properties of human femoropopliteal arteries.

Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...

AI-driven preclinical disease risk assessment using imaging in UK biobank.

Identifying disease risk and detecting disease before clinical symptoms appear are essential for ear...

Proactive recognition and early detection in communities through targeted HIV screening.

Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant gl...

Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals.

The global obesity epidemic can no longer be explained by personal choice or caloric excess alone. M...

Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.

BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet i...

Non-invasive meningitis screening in neonates and infants: multicentre international study.

BACKGROUND AND OBJECTIVES: Meningitis diagnosis requires a lumbar puncture (LP) to obtain cerebrospi...

Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble.

Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a la...

Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effect...

Systematic review and meta-analysis of artificial intelligence models for strabismus screening: methodological insights and future directions.

BACKGROUND: An increasing number of studies apply artificial intelligence (AI) techniques to strabis...

Recent advances in applying machine learning to proton radiotherapy.

.: In radiation oncology, precision and timeliness of both planning and treatment are paramount valu...

Screening and novel diagnostic technologies for melanoma: an update.

Melanoma incidence has increased over recent decades, yet mortality has been relatively stable. This...

Towards universal early screening for cerebral palsy: a roadmap for automated General Movements Assessment.

UNLABELLED: Cerebral palsy (CP) is the most common lifelong physical disability, affecting millions ...

Machine Learning-Enhanced Single-Particle Tracking for Rapid Screening of Tumor Immunomodulatory Drugs.

The tumor microenvironment plays a critical role in tumor progression and immune response, with the ...

Clinical characteristics and CKD care delivery in African American and American Indian or Alaska Native patients: A real-world cohort study.

BACKGROUND: Racially minoritized populations in the United States (US), notably African American (AA...

Accuracy and acceptability of self-sampling HPV testing in cervical cancer screening: a population-based study in rural Yunnan, China.

To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...

An integrated approach for novel PTP1B inhibitor screening: combining machine learning models, molecular docking, molecular and dynamics simulations.

Diabetes mellitus, particularly type 2 diabetes (T2DM), is a major global health challenge character...

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