AIMC Topic: Primary Health Care
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Artificial Intelligence as an Enabler of Achieving Primary Care + Public Health = 1.
International journal of public health
Oct 12, 2022
Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.
Frontiers in public health
Oct 4, 2022
OBJECTIVE: The prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the ...
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?
BMC medical informatics and decision making
Sep 9, 2022
BACKGROUND: Effective deployment of AI tools in primary health care requires the engagement of practitioners in the development and testing of these tools, and a match between the resulting AI tools and clinical/system needs in primary health care. T...
Artificial intelligence: A strategic opportunity for enhancing primary care in South Africa.
South African family practice : official journal of the South African Academy of Family Practice/Primary Care
Sep 1, 2022
No abstract available.
Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings.
Scientific reports
May 20, 2022
Several artificial intelligence algorithms have been proposed to help diagnose glaucoma by analyzing the functional and/or structural changes in the eye. These algorithms require carefully curated datasets with access to ocular images. In the current...
Assessing the potentiality of algorithms and artificial intelligence adoption to disrupt patient primary care with a safer and faster medication management: a systematic review protocol.
BMJ open
May 17, 2022
INTRODUCTION: In primary care, almost 75% of outpatient visits by family doctors and general practitioners involve continuation or initiation of drug therapy. Due to the enormous amount of drugs used by outpatients in unmonitored situations, the pote...
Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial.
Trials
Apr 15, 2022
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboembolic prophylaxis plays an essential role in AF therapy, but at present, general practitioners (GPs) are presumed to lack the knowledge and enthusias...
Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study.
BMJ open
Apr 1, 2022
OBJECTIVES: To develop and validate tests to assess the risk of any cancer for patients referred to the NHS Urgent Suspected Cancer (2-week wait, 2WW) clinical pathways.
Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care.
Scientific reports
Feb 21, 2022
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fibrosis. However, no previous algorithm using routine blood markers has proven to be clinically appropriate in primary care. We present a novel approach...
Advancing primary care with Artificial Intelligence and Machine Learning.
Healthcare (Amsterdam, Netherlands)
Dec 23, 2021
Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunit...
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