Latest AI and machine learning research in pregnancy for healthcare professionals.
The convenience, safety, and affordability of ultrasound imaging make it a vital non-invasive diagno...
Standard clinical practice to assess fetal well-being during labour utilises monitoring of the fetal...
PURPOSE: This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting ...
Congenital heart defects (CHD) are one of the serious problems that arise during pregnancy. Early CH...
AIM: Malnutrition in pregnant women significantly affects both mother and child health. This researc...
Breast cancer remains a critical global concern, underscoring the urgent need for early detection an...
Many cardiac diseases, such as arrhythmia or cardiogenic shock, cause irregular beating patterns tha...
Hepatic cystic echinococcosis (HCE) is a zoonotic disease that occurs when the larvae of Echinococcu...
Block copolymers, composed of poly(2-oxazoline)s and poly(2-oxazine)s, can serve as drug delivery sy...
PURPOSE OF REVIEW: Machine learning (ML) approaches are an emerging alternative for healthcare risk ...
This paper presents an arterial distension monitoring scheme using a field-programmable gate array (...
BACKGROUND: Longitudinal data in health informatics studies often present challenges due to sparse o...
Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, severa...
Perinatal depression (PND) is a common complication of pregnancy associated with serious health cons...
Accurate selection of sampling positions is critical in renal artery ultrasound examinations, and th...
PURPOSE: To develop a machine learning algorithm, using patient-reported data from early pregnancy, ...
Gilaburu (Viburnum opulus L.) is a red-colored fruit with a sour taste that grows in Anatolia. It is...
The World Health Organization as part of the goal of universal vaccination coverage by 2030 for all ...
OBJECTIVE: Histotripsy is a focused ultrasound therapy that ablates tissue via the action of bubble ...
Ultrasound envelope statistics imaging, including ultrasound Nakagami imaging, homodyned-K imaging, ...
Breast tumor segmentation in ultrasound images is fundamental for quantitative analysis and plays a ...