Latest AI and machine learning research in pneumonia for healthcare professionals.
Over the past decade, the use of deep learning has been widely increasing in the medical image diagn...
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 va...
The rapid spread of the severe acute respiratory syndrome coronavirus 2 led to a global overextensio...
Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it e...
Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss ...
To evaluate the diagnostic performance of our deep learning (DL) model of COVID-19 and investigate w...
BACKGROUND: Because chest CT scan has largely supplanted surgical lung biopsy for diagnosing most ca...
The analysis of ethical aspects in clinical research has always been a challenge and has required co...
BACKGROUND: Falciparum malaria remains a global health problem. Two vaccines, based on the circumspo...
We proposed a self-supervised machine learning method to automatically rate the severity of pulmonar...
Automatic generation of medical reports can provide diagnostic assistance to doctors and reduce thei...
Building generalizable AI models is one of the primary challenges in the healthcare domain. While ra...
Easy-to-use libraries such as scikit-learn have accelerated the adoption and application of machine ...
BACKGROUND: Hemodialysis (HD) patients are a vulnerable population at high risk for severe complicat...
BACKGROUND: Experience-based knowledge and value considerations of health professionals, citizens, a...
BACKGROUND: Community-acquired Pneumonia (CAP) is a common childhood infectious disease. Deep learni...
Yamada and Teixeira da Silva voiced valid concerns with the inadequacies of an online machine learni...
An outstanding problem in the understanding of poxvirus biology is the molecular structure of the ma...
We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This stud...
Automatically generating a report from a patient's Chest X-rays (CXRs) is a promising solution to re...
OBJECTIVES: To assess whether a computer-aided detection (CADe) system could serve as a learning too...