AIMC Topic: Labor, Obstetric

Clear Filters Showing 1 to 10 of 21 articles

Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model.

BMC pregnancy and childbirth Mar 29, 2025
OBJECTIVE: The study developed an intelligent online evaluation system for mediolateral episiotomy, which incorporated machine learning algorithms and integrated maternal physiological data collected during delivery.
Risk Assessment China Logistic Models Support Vector Machine Labor, Obstetric Pregnancy Episiotomy Female Humans Adult Artificial Intelligence Machine Learning
View on PubMed DOI

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.

BMC pregnancy and childbirth Mar 27, 2025
Biochemical changes in the cervix during labor are not well understood. This gap in knowledge is significant, as understanding the precise biochemical processes can provide critical insights into the mechanisms of labor and potentially inform better ...
Female Infant, Newborn Young Adult Humans Machine Learning Pregnancy Collagen Labor, Obstetric Hypertension, Pregnancy-Induced Adult Spectroscopy, Fourier Transform Infrared Cervix Uteri
View on PubMed DOI

DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor.

Computers in biology and medicine Nov 27, 2024
Cardiotocography (CTG) is the main tool available to detect neonatal acidemia during delivery. Presently, obstetricians and midwives primarily rely on visual interpretation, leading to a significant intra-observer variability. In this paper, we build...
Databases, Factual Pregnancy Female Cardiotocography Infant, Newborn Humans Acidosis Male Labor, Obstetric Deep Learning
View on PubMed DOI

Artificial intelligence chatbots versus traditional medical resources for patient education on "Labor Epidurals": an evaluation of accuracy, emotional tone, and readability.

International journal of obstetric anesthesia Nov 26, 2024
BACKGROUND: Labor epidural analgesia is a widely used method for pain relief in childbirth, yet information accessibility for expectant mothers remains a challenge. Artificial intelligence (AI) chatbots like Chat Generative Pre-Trained Transformer (C...
Artificial Intelligence Pregnancy Female Labor, Obstetric Generative Artificial Intelligence Analgesia, Obstetrical Analgesia, Epidural Emotions Humans Comprehension Patient Education as Topic
View on PubMed DOI

Deep learning model using continuous skin temperature data predicts labor onset.

BMC pregnancy and childbirth Nov 25, 2024
BACKGROUND: Changes in body temperature anticipate labor onset in numerous mammals, yet this concept has not been explored in humans. We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be li...
Humans Pregnancy Female Skin Temperature Labor, Obstetric Labor Onset Adult Deep Learning Wearable Electronic Devices
View on PubMed DOI

Research on Human-Robot Collaboration Method for Parallel Robots Oriented to Segment Docking.

Sensors (Basel, Switzerland) Mar 8, 2024
In the field of aerospace, large and heavy cabin segments present a significant challenge in assembling space engines. The substantial inertial force of cabin segments' mass often leads to unexpected motion during docking, resulting in segment collis...
Humans Technology Motion Labor, Obstetric Pregnancy Female Robotics
View on PubMed DOI

Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection.

Computers in biology and medicine Dec 19, 2023
PROBLEM: Organoids are 3D cultures that are commonly used for biological and medical research in vitro due to their functional and structural similarity to source organs. The development of organoids can be assessed by morphological tests. However, m...
Biomedical Research Deep Learning Labor, Obstetric Organoids Humans Pregnancy Female
View on PubMed DOI

Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Oct 13, 2023
Sensor-based human activity recognition (HAR) is a task to recognize human activities, and HAR has an important role in analyzing human behavior such as in the healthcare field. HAR is typically implemented using traditional machine learning methods....
Labor, Obstetric Human Activities Recognition, Psychology Pregnancy Female Unsupervised Machine Learning Humans Machine Learning
View on PubMed DOI

Real-Time Detection of Strawberry Ripeness Using Augmented Reality and Deep Learning.

Sensors (Basel, Switzerland) Sep 3, 2023
Currently, strawberry harvesting relies heavily on human labour and subjective assessments of ripeness, resulting in inconsistent post-harvest quality. Therefore, the aim of this work is to automate this process and provide a more accurate and effici...
Agriculture Augmented Reality Fragaria Pregnancy Female Deep Learning Labor, Obstetric Humans
View on PubMed DOI

Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images.

Scientific reports Aug 16, 2023
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in mice. A challenge is that lesion segmentation often relies on manual tracing by trained experts, which is labor-intensive, time-consuming, and prone to inter- and...
Mice Female Humans Magnetic Resonance Imaging Pregnancy Animals Stroke Ischemic Stroke Deep Learning Labor, Obstetric
View on PubMed DOI
Popular Topics
Recent Journals