Latest AI and machine learning research in anemia for healthcare professionals.
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites ...
We present a case of a 75-year-old Asian woman with Guillain-Barré syndrome (GBS) who underwent a 1-...
Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable technologies,...
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, ...
Radioligand therapy is an emerging and effective treatment option for various types of malignancies,...
The educational environment plays a vital role in the development of students who participate in ath...
OBJECTIVE: In response to the nuanced glycemic challenges faced by women with iron deficiency anemia...
Neuropsychological studies suggest that co-operative activities among different brain functional are...
BACKGROUND: Body weight unloaded treadmill training has shown limited efficacy in further improving ...
Breast cancer is the most commonly diagnosed cancer among women worldwide. Breast cancer patients ex...
Ischemic stroke is a type of brain dysfunction caused by pathological changes in the blood vessels o...
The need for the identification of risk factors associated to COVID-19 disease severity remains urge...
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of con...
This article will provide a perspective review of the most extensively investigated deep learning (D...
Postoperative ileus (POI) is a common complication after colorectal surgery, leading to increased h...
BACKGROUND AND OBJECTIVE: Cardiovascular disease (CD) is a major global health concern, affecting mi...
BACKGROUND: Cesarean section-induced postpartum hemorrhage (PPH) potentially causes anemia and hypov...
Driving while drowsy poses significant risks, including reduced cognitive function and the potential...
Machine learning (ML) has revolutionized medical image-based diagnostics. In this review, we cover a...
The emerging matrix learning methods have achieved promising performances in electroencephalogram (E...
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Weste...