Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Medicinal plants are proven to reveal vast promising potential providing novel drug candidates to combat health-related problems. The aim of current study is to discover new drug compounds with anti-anticancer, antioxidant, antibacterial and antifungal potential, to serve the purpose Saussurea heteromalla (Family: Asteraceae) indigenous to Pakistan was screened for the in vitro cytotoxicity agains...
STUDY OBJECTIVES: Polysomnography (PSG) scoring is labor intensive and suffers from variability in inter- and intra-rater reliability. Automated PSG scoring has the potential to reduce the human labor costs and the variability inherent to this task. Deep learning is a form of machine learning that uses neural networks to recognize data patterns by inspecting many examples rather than by following ...
From initial human papillomavirus (HPV) infection and precursor stages, the development of cervical cancer takes decades. High-sensitivity HPV DNA tes...
PURPOSE OF REVIEW: Artificial intelligence and augmented reality have been progressively incorporated into our daily life. Technological advancements ...
BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than ...
PURPOSE: We have created a cloud-based machine learning system (CLOBNET) that is an open-source, lean infrastructure for electronic health record (EHR...
OBJECTIVE: To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine-learning techniques, to amniotic fluid (A...
The objective of this study was to investigate the use of classification methods by a machine-learning approach for discriminating the uterine activit...
This paper presents an accurate and robust tracking vision algorithm for Fetoscopic Laser Photo-coagulation (FLP) surgery for Twin-Twin Transfusion Sy...
Placental assessment through routine obstetrical ultrasound is often limited to documenting its location and ruling out placenta previa. However, many...
In an attempt to promote greater functional recovery after spinal cord injury, researchers have begun exploring combinatorial treatments, such as robo...
The rapid integration of artificial intelligence (AI) into healthcare delivery has not only provided a glimpse into an enhanced digital future but als...
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex health-care data. ...
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia...
To develop a machine learning model to investigate the discriminative power of whole-brain gray-matter (GM) images derived from primary dysmenorrhea (...
BACKGROUND: Screening tools are critical in the early prevention of cervical cancers. Acetic-acid based colposcopy test provides an affordable solutio...
EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to improve the cohort identification process. The abilit...
BACKGROUND: As an innovative technique without cable connection, targeted drug-delivery capsules improve diagnostic and therapeutic capabilities in th...
Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~10% women in reproductive age. The implantation an...