Latest AI and machine learning research in pregnancy for healthcare professionals.
Fundus ultrasound image classification is a critical issue in the medical field. Vitreous opacity (V...
Microrobots for targeted drug delivery in blood vessels have attracted increasing interest from rese...
BACKGROUND: Artificial intelligence (AI) is a broad outlet of computer science aimed at constructing...
OBJECTIVES: To develop and validate a fully automated AI system to extract standard planes, assess e...
BACKGROUND: Interpreting point-of-care lung ultrasound (LUS) images from intensive care unit (ICU) p...
This study aimed to evaluate the performance of traditional-deep learning combination model based on...
In this Commentary authors investigated and extended the role of simulator in assisting obstetric so...
INTRODUCTION: Guidelines advise ongoing follow-up of patients after hypertensive disorders of pregna...
Brain segmentation is often the first and most critical step in quantitative analysis of the brain f...
The fast growth in the installation of industrial robots has had a major impact on the comparative a...
Recent strides in the development of untethered miniature robots have shown the advantages of divers...
BACKGROUND: Scientific discovery progresses by exploring new and uncharted territory. More specifica...
OBJECTIVE: Scanning protocols for lung ultrasound often include 8 or more lung zones, which may limi...
BACKGROUND: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and ...
Subacromial motion metrics can be extracted from dynamic shoulder ultrasonography, which is useful f...
The preoperative differentiation of breast phyllodes tumors (PTs) from fibroadenomas (FAs) plays a c...
Deep learning (DL) can fail when there are data mismatches between training and testing data distrib...
BACKGROUND: Diagnostic performance of placenta accreta spectrum (PAS) by prenatal MRI is unsatisfact...
Computer-aided diagnosis (CAD) systems for breast ultrasound interpretation have been primarily eva...
BACKGROUND: Radiotherapy (RT) is involved in about 50% of all cancer patients, making it a very impo...
BACKGROUND: Race is commonly used as a proxy for multiple features including socioeconomic status. I...