Primary Care

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

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Excellence in Total Worker Health® and an Interview With Dr Laura Linnan.

The National Institute of Occupational Safety and Health (NIOSH) defines as "policies, programs and...

Mar 2023 36999644
Novel Port Placement in Robot-Assisted DIEP Flap Harvest Improves Visibility and Bilateral DIEP Access: Early Controlled Cohort Study.

SUMMARY: To minimize donor-site damage, robot-assisted (RA) deep inferior epigastric perforator (DIE...

Mar 2023 36995211
Deep neural network for food image classification and nutrient identification: A systematic review.

Technology impacts human life in both the aspects such as positive and negative, which helps in bett...

Mar 2023 36976459
Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.

Background Statins are guideline-recommended medications that reduce cardiovascular events in patien...

Mar 2023 36974740
A genome-wide association study of childhood adiposity and blood lipids.

The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due t...

Mar 2023 39301199
2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System.

Chronic wounds, are a worldwide health problem affecting populations and economies as a whole. With ...

Mar 2023 36992009
Short: Prediction of fetal blood oxygen content in response to partial occlusion of maternal aorta.

Acute hemorrhage in pregnancy may lead to maternal and/or fetal morbidity or mortality. In emergency...

Mar 2023 38260035
Mental Stress Detection Using a Wearable In-Ear Plethysmography.

This study presents an ear-mounted photoplethysmography (PPG) system that is designed to detect ment...

Mar 2023 36979609
Artificial intelligence in uveitis: A comprehensive review.

Uveitis is a disease complex characterized by intraocular inflammation of the uvea that is an import...

Mar 2023 36878360
Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.

IMPORTANCE: Annual low-dose computed tomographic (LDCT) screening reduces lung cancer mortality, but...

Mar 2023 36929398
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.

As the Coronavirus Disease 2019 (COVID-19) continues to impact many aspects of life and the global h...

Feb 2023 36904833
Artificial intelligence and body composition.

AIMS: Although obesity is associated with chronic disease, a large section of the population with hi...

Feb 2023 36867973
Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study.

Patients with type 2 diabetes mellitus (T2DM) have more than twice the risk of developing heart fail...

Feb 2023 36809251
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia.

Dementia poses a growing challenge for health services but remains stigmatized and under-recognized....

Feb 2023 38439952
Deep Learning-based Approach to Predict Pulmonary Function at Chest CT.

Background Low-dose chest CT screening is recommended for smokers with the potential for lung functi...

Feb 2023 36786699
The impact of diabetes mellitus on pelvic organ prolapse recurrence after robotic sacrocolpopexy.

INTRODUCTION AND HYPOTHESIS: Data examining the effect of diabetes mellitus (DM) on prolapse recurre...

Feb 2023 36780019
APLUS: A Python library for usefulness simulations of machine learning models in healthcare.

Despite the creation of thousands of machine learning (ML) models, the promise of improving patient ...

Feb 2023 36791900
User Feedback on the Use of a Natural Language Processing Application to Screen for Suicide Risk in the Emergency Department.

Suicide is the 10th leading cause of death in the USA and globally. Despite decades of research, the...

Feb 2023 36737559
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes.

Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are support...

Feb 2023 36868690
Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities.

BACKGROUND: The examination of the optic nerve head (optic disc) is mandatory in patients with heada...

Feb 2023 36719740
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