Latest AI and machine learning research in hematology for healthcare professionals.
BACKGROUND: Robot-assisted total knee arthroplasty (TKA) has been largely studied to confirm its adv...
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fib...
Advancing diagnostic testing capabilities such as clinical next generation sequencing methods offer ...
Leukemia is one of the most dangerous types of malignancies affecting the bone marrow or blood in al...
BACKGROUND AND PURPOSE: Elevated blood pressure (BP) in acute ischemic stroke is common. A raised BP...
BACKGROUND: Microscopic examination of human blood samples is an excellent opportunity to assess gen...
BACKGROUND: Robot-assisted open surgery (RA-OS) is now commonly used in traditional open-exposure sp...
Robot-assisted simple prostatectomy (RASP) and endoscopic enucleation of the prostate (EEP) are two...
CONTEXT: Hemostatic abnormalities are more common in patients with brain tumors than systemic malign...
Accurate bone registration is critical for computer navigation and robotic surgery. Existing registr...
A constant blood supply to the brain is required for mental function. Research with Doppler ultrason...
INTRODUCTION: Apolipoprotein C-III (Apo CIII) is a crucial regulator of triglyceride-rich lipoprotei...
The use of artificial intelligence methods in the image-based diagnostic assessment of hematological...
For large prostate volume, open simple prostatectomy (OSP) or holmium laser enucleation are the gold...
Non-invasive and accurate method for continuous blood glucose monitoring, the self-testing of blood ...
BACKGROUND AND OBJECTIVES: Photoplethysmography (PPG) is a device that measures the amount of light ...
BACKGROUND: Robot-assisted laparoscopic surgery has gained popularity, which has contributed to a de...
BACKGROUND: Canine babesiosis is an important tick-borne disease in endemic regions. One of the rele...
According to the general recognition in the first half of the last century, hypertension was not con...
Deep learning has enabled significant improvements in the accuracy of 3D blood vessel segmentation. ...
The recognition and classification of White Blood Cell (WBC) play a remarkable role in blood-related...