Latest AI and machine learning research in preventive care for healthcare professionals.
OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead t...
BACKGROUND: The COVID-19 pandemic prompted the scientific community to share timely evidence, also i...
Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enl...
The study of complex diseases relies on large amounts of data to build models toward precision medic...
Artificial intelligence (AI) has been recognized as a powerful technique that can accelerate drug di...
Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, in...
Histopathology is the gold standard method for staging and grading human tumors and provides critica...
BACKGROUND: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular...
In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is u...
NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone act...
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and ...
OBJECTIVE: Artificial intelligence-powered screening systems of coronavirus disease 2019 (COVID-19) ...
In a colonoscopy, accurate computer-aided polyp detection and segmentation can help endoscopists to ...
BACKGROUND AND OBJECTIVES: Systematic reviews form the basis of evidence-based medicine, but are exp...
The COVID-19 pandemic has emphasized the importance of accurate detection of known and emerging path...
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a numb...
BACKGROUND AND AIMS: The clinical application of GI endoscopy for the diagnosis of multiple diseases...
OBJECTIVES: Artificial intelligence (AI) has shown promising results when used on retrospective data...
Lung infections caused by bacteria and viruses are infectious and require timely screening and isola...
Background A deep learning (DL) model to identify lung cancer screening candidates based on their ch...
INTRODUCTION: Experimental and virtual screening contributes to the discovery of more than 50% of cl...