Latest AI and machine learning research in hematology for healthcare professionals.
OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing disea...
BACKGROUND AND OBJECTIVE: Convolutional Neural Networks (CNNs) can provide excellent results regardi...
Brain tumors are one of the most dangerous diseases that affect human health and maybe result in dea...
BACKGROUND: Via counting the different kinds of white blood cells (WBCs), a good quantitative descri...
A blood count is one of the most important diagnostic tools in medicine and one of the most common p...
This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pe...
Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply wi...
BACKGROUND AND OBJECTIVE: Leukemia represents 30% of all pediatric cancers and is considered the mos...
To address the issues of uneven illumination and inconspicuous leukocyte properties in the gathered ...
High-density planting aggravates competition among plants and has a negative impact on plant growth ...
Early diagnosis of retinal diseases such as diabetic retinopathy has had the attention of many resea...
Malaria is a life-threatening disease caused by female anopheles mosquito bites. Various plasmodium ...
BACKGROUND: The non-local module has been primarily used in literature to capturing long-range depen...
BACKGROUND: Intraoperative hypertension and blood pressure (BP) fluctuation are known to be associat...
Among the greatest of the challenges of minimally invasive surgery (MIS) is the inadequate visualisa...
Machine learning is increasingly being used to predict clinical outcomes. Most comparisons of differ...
Concussions, also known as mild traumatic brain injury (mTBI), are a growing health challenge. Appro...
We report on the first clinical experience with the robotic-assisted extended "Sistrunk" approach (R...
BACKGROUND: A severe form of pathological social withdrawal, 'hikikomori,' has been acknowledged in ...
To observe the clinical efficacy of early enteral nutrition application in critically ill neurosurgi...
Nonlinear mixed effect (NLME) models are the gold standard for the analysis of patient response foll...