Latest AI and machine learning research in primary care for healthcare professionals.
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment ...
Accessing patients' social needs is a critical challenge at emergency departments (EDs). However, mo...
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial in...
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artifi...
BACKGROUND AND OBJECTIVE: Many studies regarding health analysis request structured datasets but the...
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mo...
Due to the busy schedule of every human being in today's world, consciousness towards one's health h...
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...
Ultrafast Shape Recognition (USR), along with its derivatives, are Ligand-Based Virtual Screening (L...
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to...
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
AIM: To develop a screening tool for the detection of interstitial lung disease (ILD) patterns using...
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of...
Learning from outliers and imbalanced data remains one of the major difficulties for machine learnin...
: Abdominal adiposity is an important risk factor of chronic cardiovascular diseases, thus the predi...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term ...
Accurate identification of compound-protein interactions (CPIs) in silico may deepen our understandi...
INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased ris...
Untargeted metabolomics may become a standard approach to address diagnostic requests, but, at prese...
PURPOSE OF REVIEW: Machine learning (ML) is increasingly being studied for the screening, diagnosis,...