Primary Care

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

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Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...

Nov 2022 36435427
Systematic review of academic robotic surgery curricula.

The use of robotic surgery has increased exponentially in the United States. Despite this uptick in ...

Nov 2022 36413255
Identifying an Optimal Neuroinflammation Treatment Using a Nanoligomer Discovery Engine.

Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital o...

Nov 2022 36410860
Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm.

Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in ...

Nov 2022 36430024
Deffini: A family-specific deep neural network model for structure-based virtual screening.

Deep learning-based virtual screening methods have been shown to significantly improve the accuracy ...

Nov 2022 36436482
A correlation-based feature analysis of physical examination indicators can help predict the overall underlying health status using machine learning.

As a systematic investigation of the correlations between physical examination indicators (PEIs) is ...

Nov 2022 36379988
Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type.

The prevalence of diabetes has been increasing in recent years, and previous research has found that...

Nov 2022 36429751
Expressions of serum adiponectin and visfatin in patients with hypertension in cerebrovascular accidents and analysis of risk factors.

OBJECTIVE: To determine the expressions of serum adiponectin and visfatin in patients with hypertens...

Nov 2022 36505296
Design and Usability of an Avatar-Based Learning Program to Support Diabetes Education: Quality Improvement Study in Colombia.

BACKGROUND: This quality improvement study, entitled Avatar-Based LEarning for Diabetes Optimal Cont...

Nov 2022 36377096
Causal deep learning reveals the comparative effectiveness of antihyperglycemic treatments in poorly controlled diabetes.

Type-2 diabetes is associated with severe health outcomes, the effects of which are responsible for ...

Nov 2022 36376286
Robot-assisted duodenal switch with DaVinci Xi: surgical technique and analysis of a single-institution experience of 661 cases.

Metabolic and bariatric surgery is an effective treatment for the management of obesity and related ...

Nov 2022 36371756
NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.

NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of mak...

Nov 2022 36344838
MILCDock: Machine Learning Enhanced Consensus Docking for Virtual Screening in Drug Discovery.

Molecular docking tools are regularly used to computationally identify new molecules in virtual scre...

Nov 2022 36342217
Microfluidics guided by deep learning for cancer immunotherapy screening.

Immunocyte infiltration and cytotoxicity play critical roles in both inflammation and immunotherapy....

Nov 2022 36343225
A multi-granularity convolutional neural network model with temporal information and attention mechanism for efficient diabetes medical cost prediction.

As the cost of diabetes treatment continues to grow, it is critical to accurately predict the medica...

Oct 2022 36343403
Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital.

Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...

Oct 2022 36307887
An automated unsupervised deep learning-based approach for diabetic retinopathy detection.

As per the International Diabetes Federation (IDF) report, 35-60% of people suffering from diabetic ...

Oct 2022 36274090
An Approach for Fall Prediction Based on Kinematics of Body Key Points Using LSTM.

Many studies have used sensors attached to adults in order to collect signals by which one can carry...

Oct 2022 36360642
Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans.

Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most comm...

Oct 2022 37323471
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