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Predicting Ventilation Needs in Intensive Care Unit
0
Zitationen
5
Autoren
2024
Jahr
Abstract
Critical care is not an exception to how artificial intelligence (AI) is changing the healthcare industry. Artificial intelligence (AI) has grown into a disruptive technology in the healthcare industry, with the potential to transform patient care, diagnostics, and functioning effectiveness. An indication of an AI-based ventilator unit designed to improve respirational therapy for patients in critical condition is given in this abstract. The creation of novel ventilator unit that assesses a patient's ventilator requirement is the main topic of this chapter. The ventilator is engineered to offer sophisticated monitoring, accurate regulation of breathing parameters, and flexibility to accommodate a wide range of patient requirements. The welfares and drawbacks of physical ventilator rely on the patients configuration of the device (input) as well as the analysis of the ventilator's generated strictures (outputs), that guide ventilator tactics. Tidal volume (VT), respiratory rate (RR), intrinsic PEEP, positive end-expiratory pressure (PEEP), driving pressure (ΔP), transpulmonary pressure (PL), peak and plateau pressures (Ppeak and Pplat), mechanical energy, power, and intensity are a few of the crucial variables. During assisted medical ventilation, it is important to evaluate not only these measures but also the heaviness created after the initiation of inspiratory exertion and the pressure-time product per minute (PTP/min). By continuously monitoring the aforementioned metrics and anticipating future difficulties, AI procedures are combined into the ventilator to display the patient's complaint. By integrating this AI system, healthcare expenses can be decreased and lives can be saved. The quality of care can be greatly improved. The abstract elucidates the possible advantages of an inventive artificial intelligence ventilator system with respect to enhanced patient care, decreased workload for healthcare providers, and resource optimisation. This project intends to use Artificial Intelligence to help advance ventilator technology and improve the quality of care provided in emergency rooms and intensive care units by fusing technological innovation with a patient-centered approach.
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