AIMC Topic: Primary Health Care
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Development and validation of a rheumatoid arthritis case definition: a machine learning approach using data from primary care electronic medical records.
BMC medical informatics and decision making
Nov 27, 2024
BACKGROUND: Rheumatoid Arthritis (RA) is a chronic inflammatory disease that is primarily diagnosed and managed by rheumatologists; however, it is often primary care providers who first encounter RA-related symptoms. This study developed and validate...
Implementation challenges of artificial intelligence (AI) in primary care: Perspectives of general practitioners in London UK.
PloS one
Nov 21, 2024
INTRODUCTION: Implementing artificial intelligence (AI) in healthcare, particularly in primary care settings, raises crucial questions about practical challenges and opportunities. This study aimed to explore the perspectives of general practitioners...
A model for integrating palliative care into Eastern Mediterranean health systems with a primary care approach.
BMC palliative care
Nov 15, 2024
BACKGROUND AND AIMS: Palliative care in the Eastern Mediterranean Region (EMR) faces challenges despite the high number of patients in need. To provide accessible, affordable, and timely services, it is crucial to adopt a suitable care model. World h...
Transformer-based deep learning model for the diagnosis of suspected lung cancer in primary care based on electronic health record data.
EBioMedicine
Nov 13, 2024
BACKGROUND: Due to its late stage of diagnosis lung cancer is the commonest cause of death from cancer in the UK. Existing epidemiological risk models in clinical usage, which have Positive Predictive Values (PPV) of less than 10%, do not consider th...
AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review.
JMIR research protocols
Nov 1, 2024
BACKGROUND: Digital microscopy combined with artificial intelligence (AI) is increasingly being implemented in health care, predominantly in advanced laboratory settings. However, AI-supported digital microscopy could be especially advantageous in pr...
A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care.
ESC heart failure
Oct 20, 2024
AIMS: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of congestive heart failure (CHF) in individuals with diabetes in primary health care (PHC) through the analysis of diagnostic data.
Generative artificial intelligence in primary care: an online survey of UK general practitioners.
BMJ health & care informatics
Sep 17, 2024
OBJECTIVES: Following the launch of ChatGPT in November 2022, interest in large language model-powered chatbots has soared with increasing focus on the clinical potential of these tools. We sought to measure general practitioners' (GPs) current use o...
Artificial intelligence scribes in primary care.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Sep 15, 2024
Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care: A Systematic Review.
JAMA network open
Sep 3, 2024
IMPORTANCE: The aging and multimorbid population and health personnel shortages pose a substantial burden on primary health care. While predictive machine learning (ML) algorithms have the potential to address these challenges, concerns include trans...
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...
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