Latest AI and machine learning research in pregnancy for healthcare professionals.
Uterine diverticula are rare outpouchings of the uterus associated with abnormal uterine bleeding, pelvic pain, dysmenorrhea, and adverse obstetric events. At the time of cesarean delivery at 36 5/7 weeks' gestation during the patient's first pregnancy and 36 6/7 weeks during the second pregnancy, a fundal iatrogenic uterine diverticulum at the site of a prior robotic-assisted myomectomy was noted...
BACKGROUND: Classification of breast ultrasound (BUS) images is an important step in the computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase-based texture descriptor is proposed for efficient and robust classifiers to discriminate benign and malignant tumors in BUS images.
This paper presents two new concepts for discrimination of signals of different complexity. The first focused initially on solving the problem of sett...
Seizures below one minute in duration are difficult to assess correctly using seizure detection algorithms. We aimed to improve neonatal detection alg...
BACKGROUND: Ectopic pregnancy (EP) is the commonest cause of maternal mortality-related death in the first trimester. Methotrexate (MTX) remains the f...
Inspired by the fact that the division of labor and cooperation play extremely important roles in the human history development, this paper develops a...
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain i...
Ultrasound imaging is frequently used in medicine. The quality of ultrasound images is often dependent on the skill of the sonographer. Several resear...
PURPOSE: Diagnosis of neuromuscular diseases in ultrasonography is a challenging task since experts are often unable to discriminate between healthy a...
The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated car...
Although regional anaesthesia is a commonly preferred anaesthesia technique for pregnant patients undergoing non-obstetric surgery, peripheral nerve b...
Mass spectrometry (MS) is an important analytical technique with numerous applications in clinical analysis, biochemistry, environmental analysis, geo...
Segmentation of needles in ultrasound images remains a challenging problem. In this paper, we introduce a machine learning-based method for needle seg...
BACKGROUND: Multiple embryo transfers in in vitro fertilization (IVF) treatment increase the number of successful pregnancies while elevating the risk...
Single-cell technologies have generated cell censuses of tissues, however, how tissue geometry reflects functional needs remains poorly characterized....
Manual annotation remains a major bottleneck in ultrasound (US) bone segmentation, where experts typically iteratively refine rough brush masks rather...
In this work, we demonstrate the unprecedented value of NIH's "All of Us Research Program" (AoURP) dataset in studying maternal morbidity and building...
The balance between how much human tumors recapitulate fetal tissue programs versus lose adult tissue identity remains unresolved. I used audited vibe...
Tool-using agents are being proposed for medical imaging, and their behaviour when a tool returns a false finding is largely unmeasured. We audit whet...
Ultrasound B-mode imaging commonly suffers from speckle noise and artifacts, requiring a delicate balance between contrast, resolution, and preservati...