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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Non-Contrast and Low-Dose CT Applications in Abdominal and Emergency Imaging

Authors: Maj. Gen. Charanjeet Singh Ahluwalia*1, Shiv Kumar Gupta2, Arif Chaudhary3;

Non-Contrast and Low-Dose CT Applications in Abdominal and Emergency Imaging

Abstract

Hemodynamic instability as a symptom of critical illness is a leading cause of morbidity and mortality in intensive care units (ICUs). Effective hemodynamic monitoring strategies are associated with accurate evaluation of cardiovascular functioning and timely therapeutic interventions. In the last twenty years, hemodynamic monitoring has been improved to move beyond the traditional methods of monitoring based on pressure, into dynamic, functional, and multimodal fields that incorporate physiology, technology, and clinical conditions. The article presents an overview of hemodynamic monitoring strategies in critical care practice, which synthesizes the classical ideas, the current evidence, the guideline-based guidelines, and the innovations. It is highlighted focusing on monitoring concepts and their invention, invasive and non-invasive modes, functional hemodynamic evaluation, its clinical use in shock conditions, constraints and traps, and the future with references to digital health and artificial intelligence. Through a combination of evidence-based approaches and patient-centered decision-making, hemodynamic monitoring can shift to a focus of data acquisition to meaningful outcomes improvement in critically ill patients.

Keywords

Hemodynamic monitoring; Critical care; Cardiac output; Shock management; Functional hemodynamics; Intensive care medicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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