Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the lar...
BACKGROUND: Poor quality primary health care is a major issue in China, particularly in blindness pr...
Background Small molecule kinase inhibitors (KIs) are a class of agents currently used for treatment...
Machine learning techniques combined with wearable electronics can deliver accurate short-term blood...
BACKGROUND: Diabetes Mellitus is an increasingly prevalent chronic disease characterized by the body...
In the present study, variety of fruit vinegars were investigated in terms of their physicochemical,...
BACKGROUND: This case report intends to highlight the challenge in diagnosing type 1 diabetes on an ...
Breast cancer care is a leading area for development of artificial intelligence (AI), with applicati...
Fetal congenital heart disease (FHD) is a common and serious congenital malformation in children. In...
We present a deep convolutional neural network for breast cancer screening exam classification, trai...
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss, predominantly affecting...
BACKGROUND AND AIM: To examine whether our convolutional neural network (CNN) system based on deep l...
AIM: To assess the potential of supervised machine-learning techniques to identify clinical variable...
PURPOSE: Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to patient ma...
BACKGROUND: Advanced machine learning methods combined with large sets of health screening data prov...
To heal otherwise in oncology has become an imperative of Public Health and an economic imperative i...
INTRODUCTION: As one of the most prevalent chronic diseases in the United States, diabetes, especial...
Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern...
: Metamodels have been used to approximate complex simulations and have many applications with sensi...
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challe...
OBJECTIVE: To develop and validate a novel, machine learning-derived model to predict the risk of he...