Latest AI and machine learning research in primary care for healthcare professionals.
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...
The retinal vasculature provides important clues in the diagnosis and monitoring of systemic disease...
In this paper, we present a methodology based on generative adversarial network architecture to gene...
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...
At present, diabetes is one of the most important chronic noncommunicable diseases, that have threat...
Facility layout planning (FLP) is an integral part of the hospital layout design. The purpose of thi...
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...
OBJECTIVE: Artificial intelligence-powered screening systems of coronavirus disease 2019 (COVID-19) ...
The detection of serum Epstein-Barr virus antibodies by immunofluorescence assay (IFA) is considered...
BACKGROUND: The morbidity of pulmonary embolism (PE) is only lower than that of coronary heart disea...
BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice...
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...