Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 26, 2026

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
11:27

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

Artificial Intelligence Dystocia Algorithm (AIDA) for Risk Stratification of Occiput Posterior Fetal Head Position.

Antonio Malvasi1, Giorgio Maria Baldini1, Tommaso Difonzo1

  • 1Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine (DIM), University of Bari "Aldo Moro", Policlinico of Bari, 70124 Bari, Italy.

Journal of Imaging
|June 25, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of Midline Rectovaginal Fascia Plication on Female Sexual Function and Surgical Outcomes: A Retrospective Study.

Journal of clinical medicine·2026
Same author

Role of myometrial relaxants (acute tocolytics) in intrauterine fetal resuscitation at term: why, when, what, How, and why-not?

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians·2026
Same author

Ultrasound Features of Uterine Perivascular Epithelioid Cell Tumor (PEComa): A Systematic Review.

Journal of imaging·2026
Same author

Expression of concern 'Adhesion formation after intracapsular myomectomy with or without adhesion barrier' [Fertil Steril 2011; 95:1780-5].

Fertility and sterility·2026
Same author

From single markers to the geometry of the cardinal movements in occiput posterior position.

European journal of obstetrics, gynecology, and reproductive biology·2026
Same author

Left and right myocardial performance indices in growth-restricted fetuses: systematic review and meta-analysis.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2026

The Artificial Intelligence Dystocia Algorithm (AIDA) shows promise in predicting cesarean delivery risk for occiput posterior (OP) fetal positions. Higher AIDA classes correlated with increased cesarean rates in prolonged labor, suggesting its potential for risk stratification.

Area of Science:

  • Obstetrics and Gynecology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Occiput posterior (OP) fetal head position is a common labor malposition linked to prolonged labor and operative delivery.
  • Current digital examination methods for OP assessment may lack precision, with outcomes existing on a spectrum.

Purpose of the Study:

  • To evaluate the Artificial Intelligence Dystocia Algorithm (AIDA) for risk stratification of cesarean delivery in occiput posterior (OP) labor.
  • To assess if AIDA's objective ultrasound parameters can differentiate OP labor outcomes.

Main Methods:

  • A subgroup analysis of 79 occiput posterior cases from a parent cohort of 135 nulliparous women with prolonged second-stage labor.
  • Application of the deterministic threshold-based classification (Branch 1) of the AIDA, utilizing four intrapartum ultrasound parameters: Angle of Progression (AoP), Head-Symphysis Distance (HSD), Midline Angle (MLA), and Asynclitism Degree (AD).
Keywords:
Artificial Intelligence Dystocia Algorithm (AIDA)intrapartum ultrasoundlabor dystociamachine learningocciput posterior positionpersistent occiput posteriorrisk stratification

Related Experiment Videos

Last Updated: Jun 26, 2026

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
11:27

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

Main Results:

  • Cesarean delivery rates increased monotonically across the five AIDA classes (0-4) in OP labors.
  • Class 0 had no cesarean deliveries, while Class 4 consisted entirely of cesarean deliveries, demonstrating a clear gradient across intermediate classes.

Conclusions:

  • The AIDA class assignment in occiput posterior labors shows a graded association with the risk of intrapartum cesarean delivery.
  • These findings are hypothesis-generating, requiring validation in independent prospective cohorts to establish AIDA as a risk-stratification tool for OP labors.