Volume 14, Issue 5 · IJARST · ISSN 2319-1783 / 2320-1126

AI-Powered Respiratory Support: A Leap Forward in Patient Care

AI-Powered Respiratory Support: A Leap Forward in Patient Care is an open-access, peer-reviewed research paper by Sanjana Nayak1, Bhuvanesh2, Vikas Shetty3, Krishna4, Ranjith H D5, published in Volume 14, Issue 5 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Sanjana Nayak1, Bhuvanesh2, Vikas Shetty3, Krishna4, Ranjith H D5

Abstract

AI-Powered Respiratory Support: A Leap Forward in Patient Care intends to revolutionize mechanical ventilation by creating an automated ventilator that uses an Ambu bag and has complete monitoring features. Utilizing a DC motor-driven cam lever mechanism, it ensures accurate regulation of critical respiratory parameters like tidal volume, respiratory rate, and FiO2 levels. The system incorporates modern sensors to monitor vital signs, including blood pressure, oxygen saturation, and temperature, enabling real-time, patient-specific adjustments. AI-powered software enhances functionality with predictive algorithms, adaptive control via reinforcement learning, and anomaly detection for improved safety. A cloud-based database supports remote monitoring, while an intuitive interface offers real-time visualization and detailed health reports. This project seeks to provide a cost-effective, dependable, and adjustable ventilation solution that will improve patient care quality and efficiency in critical care settings. IntelliVent aims to ensure safety, efficacy, and regulatory compliance through thorough calibration, bench testing, and clinical trials, thereby setting a new standard in mechanical ventilation technology.

DOI

https://doi.org/10.62226/ijarst20252550

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How do you cite this paper?

Sanjana Nayak1, Bhuvanesh2, Vikas Shetty3, Krishna4, Ranjith H D5 — “AI-Powered Respiratory Support: A Leap Forward in Patient Care.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 14, Issue 5. DOI: https://doi.org/10.62226/ijarst20252550.

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