AIMC Topic: Blood Pressure
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Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension.
Experimental physiology
Nov 11, 2024
Gravity, an invisible but constant force , challenges the regulation of blood pressure when transitioning between postures. As physiological reserve diminishes with age, individuals grow more susceptible to such stressors over time, risking inadequat...
Intraoperative Hypotension Prediction: Current Methods, Controversies, and Research Outlook.
Anesthesia and analgesia
Oct 23, 2024
Intraoperative hypotension prediction has been increasingly emphasized due to its potential clinical value in reducing organ injury and the broad availability of large-scale patient datasets and powerful machine learning tools. Hypotension prediction...
GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation.
Computers in biology and medicine
Oct 8, 2024
With the rapid advancements in machine learning, its applications in the medical field have garnered increasing interest, particularly in non-invasive health monitoring methods. Blood pressure (BP) estimation using Photoplethysmogram (PPG) signals pr...
A review of machine learning methods for non-invasive blood pressure estimation.
Journal of clinical monitoring and computing
Sep 21, 2024
Blood pressure is a very important clinical measurement, offering valuable insights into the hemodynamic status of patients. Regular monitoring is crucial for early detection, prevention, and treatment of conditions like hypotension and hypertension,...
Latent Trajectories of Cerebral Perfusion Pressure and Risk Prediction Models Among Patients with Traumatic Brain Injury: Based on an Interpretable Artificial Neural Network.
World neurosurgery
Sep 13, 2024
OBJECTIVE: This study aimed to characterize long-term cerebral perfusion pressure (CPP) trajectory in traumatic brain injury (TBI) patients and construct an interpretable prediction model to assess the risk of unfavorable CPP evolution patterns.
Validation of neuron activation patterns for artificial intelligence models in oculomics.
Scientific reports
Sep 9, 2024
Recent advancements in artificial intelligence (AI) have prompted researchers to expand into the field of oculomics; the association between the retina and systemic health. Unlike conventional AI models trained on well-recognized retinal features, th...
Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.
Journal of clinical monitoring and computing
Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Blood Pressure
Area Under Curve
Hypotension
Intraoperative Complications
Consciousness Monitors
Blood Pressure Monitors
Capnography
ROC Curve
Photoplethysmography
Electrocardiography
Blood Pressure Determination
Middle Aged
Deep Learning
Monitoring, Intraoperative
Humans
Reproducibility of Results
Artificial Intelligence
Aged
Algorithms
Adult
Databases, Factual
Male
Female
Non-Contact Blood Pressure Estimation From Radar Signals by a Stacked Deformable Convolution Network.
IEEE journal of biomedical and health informatics
Aug 6, 2024
This study introduces a contactless blood pressure monitoring approach that combines conventional radar signal processing with novel deep learning architectures. During the preprocessing phase, datasets suitable for synchronization are created by int...
DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model.
Medical & biological engineering & computing
Jul 4, 2024
Continuous blood pressure (BP) provides essential information for monitoring one's health condition. However, BP is currently monitored using uncomfortable cuff-based devices, which does not support continuous BP monitoring. This paper aims to introd...
Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review.
Hypertension research : official journal of the Japanese Society of Hypertension
Jul 2, 2024
Although artificial intelligence (AI) is considered to be a promising tool, evidence for the effectiveness of AI-supported clinical practice for lowering blood pressure (BP) in the real world is scarce. We conducted a systematic review to elucidate w...
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