AIMC Topic: Primary Health Care

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Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning.

The Permanente journal Sep 2, 2024
INTRODUCTION: Rapid identification of individuals developing a psychotic spectrum disorder (PSD) is crucial because untreated psychosis is associated with poor outcomes and decreased treatment response. Lack of recognition of early psychotic symptoms...
Retrospective Studies Electronic Health Records Female Young Adult Humans Machine Learning Adolescent Primary Health Care Natural Language Processing Psychotic Disorders Adult Cross-Sectional Studies Male
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The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study.

BMC public health Aug 21, 2024
BACKGROUND: Chatbots can provide immediate assistance tailored to patients' needs, making them suitable for sustained accompanying interventions. Nevertheless, there is currently no evidence regarding their acceptability by hypertensive patients and ...
Artificial Intelligence Female Adult Male Humans Primary Health Care Hypertension Patient Acceptance of Health Care Middle Aged China Qualitative Research
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Advancing geospatial preconception health research in primary care through medical informatics and artificial intelligence.

Health & place Aug 15, 2024
Established life course approaches suggest that health status in adulthood can be influenced by events that occurred during the prenatal developmental period. Yet, interventions such as diet and lifestyle changes performed during pregnancy have had a...
Preconception Care Humans Artificial Intelligence Pregnancy Primary Health Care Electronic Health Records Female Medical Informatics
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Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education.

Family medicine Aug 8, 2024
Generative artificial intelligence and large language models are the continuation of a technological revolution in information processing that began with the invention of the transistor in 1947. These technologies, driven by transformer architectures...
Humans Neural Networks, Computer Artificial Intelligence Primary Health Care Education, Medical
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Healthcare leaders' experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study.

BMC primary care Jul 24, 2024
BACKGROUND: Artificial intelligence (AI) holds significant promise for enhancing the efficiency and safety of medical history-taking and triage within primary care. However, there remains a dearth of knowledge concerning the practical implementation ...
Leadership Male Qualitative Research Artificial Intelligence Female Sweden Triage Attitude of Health Personnel Humans Medical History Taking Interviews as Topic Primary Health Care
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Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care.

BMC primary care Jul 20, 2024
BACKGROUND: Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Screening increases AF detection and facilitates the early adoption of comprehensive intervention. Long-term wearable devices have become increasingly pop...
Electrocardiography, Ambulatory Atrial Fibrillation Wearable Electronic Devices Primary Health Care Electrocardiography Sensitivity and Specificity Male Deep Learning Humans Female
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Integrated image-based deep learning and language models for primary diabetes care.

Nature medicine Jul 19, 2024
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an inte...
Humans Retrospective Studies Language Diabetic Retinopathy Prospective Studies Diabetes Mellitus Male Female Physicians, Primary Care Deep Learning Middle Aged Aged Primary Health Care Adult
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An Approach to Potentially Increasing Adoption of an Artificial Intelligence-Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design.

JMIR research protocols Jul 18, 2024
BACKGROUND: Primary care physicians are at the forefront of the clinical process that can lead to diagnosis, referral, and treatment. With electronic medical records (EMRs) being introduced and, over time, gaining acceptance by primary care users, th...
User-Centered Design Humans Primary Health Care Artificial Intelligence Canada Electronic Health Records
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Using machine learning to predict acute myocardial infarction and ischemic heart disease in primary care cardiovascular patients.

PloS one Jul 18, 2024
BACKGROUND: Early recognition, which preferably happens in primary care, is the most important tool to combat cardiovascular disease (CVD). This study aims to predict acute myocardial infarction (AMI) and ischemic heart disease (IHD) using Machine Le...
Female Male Humans Primary Health Care Myocardial Ischemia Middle Aged Machine Learning Myocardial Infarction Aged Risk Assessment Algorithms Adult
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Development and validation of 10-year risk prediction models of cardiovascular disease in Chinese type 2 diabetes mellitus patients in primary care using interpretable machine learning-based methods.

Diabetes, obesity & metabolism Jul 15, 2024
AIM: To develop 10-year cardiovascular disease (CVD) risk prediction models in Chinese patients with type 2 diabetes mellitus (T2DM) managed in primary care using machine learning (ML) methods.
East Asian People Primary Health Care Diabetes Mellitus, Type 2 Follow-Up Studies Aged Adult Male Risk Assessment China Cardiovascular Diseases Middle Aged Retrospective Studies Female Risk Factors Humans Machine Learning
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