Latest AI and machine learning research in pregnancy for healthcare professionals.
Block copolymers, composed of poly(2-oxazoline)s and poly(2-oxazine)s, can serve as drug delivery sy...
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, ...
OBJECTIVE: This study aimed to develop and evaluate a deep learning-based model that could automatic...
We develop and evaluate an artificial intelligence (AI)-based algorithm that uses pre-rotation ather...
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 ...
PURPOSE: Ultrasound (US) imaging, while advantageous for its radiation-free nature, is challenging t...
BACKGROUND AND OBJECTIVES: Perinatal arterial ischemic stroke (PAIS) is a focal vascular brain injur...
This study focused on comparing distributed learning models with centralized and local models, asses...
BACKGROUND: Ultrasonography is used to diagnose osteochondritis dissecans (OCD) of the humerus; howe...
To unlock the full promise of messenger (mRNA) therapies, expanding the toolkit of lipid nanoparticl...
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventri...
Autoimmune rheumatic diseases are chronic conditions affecting multiple systems and often occurring ...