AIMC Topic: Cardiovascular Physiological Phenomena

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Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research.

American journal of physiology. Heart and circulatory physiology Jun 7, 2024
The maternal cardiovascular system undergoes functional and structural adaptations during pregnancy and postpartum to support increased metabolic demands of offspring and placental growth, labor, and delivery, as well as recovery from childbirth. Thu...
Humans Machine Learning Pregnancy Female Animals Cardiovascular Diseases Obstetrics Cardiovascular System Adaptation, Physiological Cardiovascular Physiological Phenomena Pregnancy Complications, Cardiovascular
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3D Visualization, Skeletonization and Branching Analysis of Blood Vessels in Angiogenesis.

International journal of molecular sciences Apr 23, 2023
Angiogenesis is the process of new blood vessels growing from existing vasculature. Visualizing them as a three-dimensional (3D) model is a challenging, yet relevant, task as it would be of great help to researchers, pathologists, and medical doctors...
Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Morphogenesis Cardiovascular Physiological Phenomena
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Using an ontology of the human cardiovascular system to improve the classification of histological images.

Scientific reports Jul 23, 2020
The advantages of automatically recognition of fundamental tissues using computer vision techniques are well known, but one of its main limitations is that sometimes it is not possible to classify correctly an image because the visual information is ...
Humans Algorithms Animals Image Processing, Computer-Assisted Computational Biology Support Vector Machine Histocytochemistry Cardiovascular System Gene Ontology Cardiovascular Physiological Phenomena
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Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.

Clinics in perinatology May 20, 2020
Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. At present, monitoring of vital signs plays an essential role in augmenting care in a reactive manner. By applying machine learning techniques, a mode...
Humans Machine Learning Infant, Newborn Cardiovascular Diseases Shock, Septic Infant, Premature Neonatal Sepsis Diagnostic Techniques, Cardiovascular Homeostasis Cerebrovascular Circulation Hemodynamic Monitoring Intensive Care Units, Neonatal Cardiovascular Physiological Phenomena
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