Latest AI and machine learning research in pregnancy for healthcare professionals.
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical wor...
OBJECTIVES: To investigate the interobserver and intraobserver variability and corresponding learnin...
This editorial comment refers to the article "Identification of suspicious invasive placentation bas...
BACKGROUND: Multiple sclerosis (MS) is a chronic neurological disease occurring mostly in women of c...
Machine learning, particularly deep learning has boosted medical image analysis over the past years....
INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasou...
OBJECTIVE: Ultrasound elastography is gaining traction as an accessible and useful diagnostic tool f...
Quasi-static ultrasound elastography is an importance imaging technology to assess the conditions of...
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastase...
Cerebrovascular accident due to carotid artery disease is the most common cause of death in develope...
Ultrasound-guided regional anesthesia (UGRA) becomes a standard procedure in surgical operations and...
OBJECTIVE: Ultrasound-based fetal biometric measurements, such as head circumference (HC) and bipari...
With the development of theories and technologies in medical imaging, most of the tumors can be dete...
Genetic polymorphisms are mostly associated with inherited diseases, detecting and analyzing the bio...
Seeing is believing. The direct observation of GFP-Atg8 vacuolar delivery under confocal microscopy ...
MR images of fetuses allow clinicians to detect brain abnormalities in an early stage of development...
This study presents a platform for ex-vivo detection of cancer nodules, addressing automation of med...
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis...
Over the last decade, increasing interest has been attracted towards the application of artificial i...
OBJECTIVES: To determine the degree of inter-rater reliability (IRR) between human and artificial in...
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (s...