Latest AI and machine learning research in pregnancy for healthcare professionals.
In order to explore the adoption of ultrasonic images under deep learning (DL) algorithm to evaluate...
Intended pregnancy is one of the significant indicators of women's well-being. Globally, 74 million ...
External beam radiotherapy is aimed to precisely deliver a high radiation dose to malignancies, whil...
The COVID-19 pandemic has brought unprecedented extreme pressure on the medical system due to the ph...
PURPOSE: We investigated the feasibility of measuring the hydronephrosis area to renal parenchyma (H...
PURPOSE: Fetal head circumference (HC) is an important biometric parameter that can be used to asses...
Ultrasound imaging technology has the advantage of being convenient, less harmful and widely applied...
OBJECTIVES: Complications due to peripheral intravenous catheters (PIVC) can be assessed using ultra...
OBJECTIVES: We aimed to design a radiomics model for differential diagnosis of thyroid carcinoma bas...
OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time...
The aim of the study described here was to investigate the value of different machine learning model...
Biomechanical and clinical gait research observes muscles and tendons in limbs to study their functi...
Ultrasound imaging is essential for non-invasively diagnosing injuries where advanced diagnostics ma...
OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cati...
The purpose of this paper is to study the recognition of ships and their structures to improve the s...
OBJECTIVES: Fetal sex determination with ultrasound (US) examination is indicated in pregnancies at ...
The COVID-19 pandemic has changed the way we practice medicine. Cancer patient and obstetric care la...
BACKGROUND: Ejection fraction (EF) is a key parameter for assessing cardiovascular functions in card...
Introduction: Intrahepatic cholestasis of pregnancy complicates 1% of pregnancies. It increases the ...
OBJECTIVES: To test if a deep learning (DL) model trained on echocardiography images could accuratel...
PURPOSE: For highly operator-dependent ultrasound scanning, skill assessment approaches evaluate ope...