Primary Care

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

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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas.

Sep 24 2020 33029536

Successful Treatment of Allergic Bronchopulmonary Aspergillosis Using a Combination of Inhaled Fluticasone Furoate/Vilanterol and Oral Voriconazole.

Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary aspergillosis (ABPA). However, there is controversy regarding use of inhaled corticosteroid (ICS) therapy for ABPA. Here we report a case of ABPA that was successfully treated with inhaled fluticasone furoate/vilanterol (FF/VI) and oral voriconazole (VRCZ). The patient was a 62-year-old Japanese man ...

Sep 23 2020 34434345
Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population.

Background The performance of a deep learning algorithm for lung cancer detection on chest radiographs in a health screening population is unknown. Pu...

Sep 22 2020 32960729
Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.

Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care d...

Sep 19 2020 33153634
Artificial intelligence in celiac disease.

Celiac disease (CD) has been on the rise in the world and a large part of it remains undiagnosed. Novel methods are required to address the gaps in pr...

Sep 17 2020 32979542
[Artificial intelligence for eye care].

Technological developments in ophthalmic imaging and artificial intelligence (AI) create new possibilities for diagnostics in eye care. AI has already...

Sep 17 2020 33331711
Primary Prevention Trial Designs Using Coronary Imaging: A National Heart, Lung, and Blood Institute Workshop.

Coronary artery calcium (CAC) is considered a useful test for enhancing risk assessment in the primary prevention setting. Clinical trials are under c...

Sep 16 2020 32950442
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening.

Docking is one of the most important steps in virtual screening pipelines, and it is an established method for examining potential interactions betwee...

Sep 16 2020 32865414
Using an improved relative error support vector machine for body fat prediction.

BACKGROUND AND OBJECTIVE: The term 'obesity' refers to excessive body fat, and it is a chronic disease associated with various complications. Although...

Sep 15 2020 33080491
An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.

BACKGROUND: Gestational diabetes mellitus (GDM) can cause adverse consequences to both mothers and their newborns. However, pregnant women living in l...

Sep 15 2020 32930674
Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives.

Artificial intelligence and machine learning based approaches are increasingly finding their way into various areas of nuclear medicine imaging. With ...

Sep 12 2020 33509373
A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model.

The selection of gene identifier from microarray databases is a challenging task since microarray contains large number of gene attributes for a few s...

Sep 12 2020 32920773
Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease.

Cardiovascular disease (CVD) is the number one leading cause for human mortality. Besides genetics and environmental factors, in recent years, gut mic...

Sep 10 2020 32909848
A Deep Learning Framework Identifies Pathogenic Noncoding Somatic Mutations from Personal Prostate Cancer Genomes.

Our understanding of noncoding mutations in cancer genomes has been derived primarily from mutational recurrence analysis by aggregating clinical samp...

Sep 9 2020 32907840
Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functional impact, and genomic and environmental contexts...

Sep 9 2020 32910913
Patient-Centered Appointment Scheduling: a Call for Autonomy, Continuity, and Creativity.

When making an appointment, patients are generally unaware of how much clinician time is available to address their concerns. Similarly, the primary c...

Sep 3 2020 32885369
The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model.

As is known, cerebral stroke has become one of the main diseases endangering people's health; ischaemic strokes accounts for approximately 85% of cere...

Sep 3 2020 32899242
Artificial intelligence techniques in asthma: a systematic review and critical appraisal of the existing literature.

Artificial intelligence (AI) when coupled with large amounts of well characterised data can yield models that are expected to facilitate clinical prac...

Sep 3 2020 32381498
Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despi...

Sep 2 2020 32888873
AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus.

Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder that often leads to severe outcomes and even death ...

Sep 2 2020 32879331
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