Latest AI and machine learning research in pregnancy for healthcare professionals.
Facility management platforms are widely used in the facility maintenance phase of the building life...
With the tremendous volume of data captured during surgeries and procedures, critical care, and pain...
Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-making (ADM...
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance...
OBJECTIVE: To analyze the performance of an annotation-free embryo scoring system on the basis of de...
PURPOSE: Fetal biometric measurements face a number of challenges, including the presence of speckle...
Ultrasound breast imaging is a promising alternative to conventional mammography because it does not...
Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid ...
Ultrasound imaging is a patient-friendly and robust technique for studying physiological and patholo...
BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-in...
Segmentation of the fetus from 2-dimensional (2D) magnetic resonance imaging (MRI) can aid radiologi...
As being radiation-free, portable, and capable of repetitive use, ultrasonography is playing an impo...
Segmentation and mutant classification of high-frequency ultrasound (HFU) mouse embryo brain ventric...
Needle visualization in the ultrasound image is essential to successfully perform the ultrasound-gui...
OBJECTIVES: This prospective clinical trial was conducted to assess serum bile acids (BA) levels in ...
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of ferti...
Non-steroidal anti-inflammatory drugs (NSAIDs) are widely prescribed for the treatment of various ty...
Segmentation of ovary and follicles from 3D ultrasound (US) is the crucial technique of measurement ...
 Postnatal gestational age (GA) algorithms derived from newborn metabolic profiles have emerged as a...
INTRODUCTION: Pupillometry, the measurement of eye pupil diameter, is a well-established and objecti...
AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of a...