AIMC Topic: Cervix Uteri

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Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jul 1, 2019
OBJECTIVE: To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine-learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic ...
Humans Pregnancy Female Artificial Intelligence Retrospective Studies Predictive Value of Tests Pregnancy Trimester, Second Cervix Uteri Metabolomics Amniocentesis Cervical Length Measurement Adolescent Ultrasonography Amniotic Fluid Intensive Care Units, Neonatal Pregnancy Outcome Adult Proteomics Sensitivity and Specificity Young Adult
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Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) Mar 1, 2019
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia persistence/recurrence. Retrospective analysis of prospectively collected data of consecutive 5104 ...
Papillomaviridae Neoplasm Recurrence, Local Uterine Cervical Dysplasia Papillomavirus Infections DNA, Viral Follow-Up Studies Cervix Uteri Prognosis Uterine Cervical Neoplasms Retrospective Studies Case-Control Studies Female Adult Risk Factors Artificial Intelligence Prospective Studies Humans
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Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering Jan 1, 2018
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...
Cervix Uteri Early Detection of Cancer Predictive Value of Tests Feasibility Studies Uterine Cervical Neoplasms Image Processing, Computer-Assisted Sensitivity and Specificity Automation Humans Neural Networks, Computer Machine Learning Female Algorithms Reproducibility of Results
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Technical Note: A new device for cervical insemination of sheep - design and field test.

Journal of animal science Dec 1, 2017
Deep semen deposition, avoiding retrograde flow, lesions and stress, has proved to be very important in the success of sheep AI. The objective of the present study was to develop a new, suitable anti-retrograde flow device for sheep cervical AI (DARI...
Sheep Male Insemination, Artificial Pregnancy Female Cervix Uteri Semen Animals Fertility
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