Latest AI and machine learning research in hematology for healthcare professionals.
This review article aims to explore the major challenges that the healthcare system is currently fac...
OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learnin...
A 63-year-old man was admitted to a hospital owing to shortness of breath. He was diagnosed as havin...
Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...
Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...
<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology wi...
This study used machine learning techniques combined with routine blood cell analysis parameters to ...
Using machine learning algorithms to construct an early prediction model of brucellosis to improve t...
OBJECTIVE: Esophageal varix (EV) bleeding is a particularly serious complications of cirrhosis. Pred...
Over the last years, the use of peripheral blood-derived big datasets in combination with machine le...
Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60...
Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic intervent...
The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people world...
The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...
The artificial neural network (ANN) based models have shown the potential to provide alternate data-...
In Japan, robot-assisted thoracic surgery (RATS) was introduced in thoracic surgery in 2001, but it ...
Fusing demographic information into deep learning models has become of interest in recent end-to-end...
To analyze the short-term clinical effects of robot-assisted and laparoscopic repair of the hiatal ...
Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood fl...