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Publication: IIP Proceedings Year: 2022, Month: November Page No: 363-374, ISSN/ISBN: 978-93-95632-92-8, DOI/Link: https://rsquarel.org/assets/docupload/rsl20236B1210C2CB47785.pdf
AMALGAMATION OF ARTIFICIAL INTELLIGENCE (AI) IN EMERGENCY MEDICINE; A PARADIGM APPROACH
Area/Stream: Medical Sciences , Authors: Dr. Shiv Shanker Tripathi,Dr. Pratika Mishra,Dr. Swagat Mahapatra,Dr. Avinav Bharati,Dr. Anoop Kr Srivastava Keywords: Artificial Intelligence, Emergency medicine, Paradigm approach Book Name /series: Futuristic Trends in Medical Sciences ,Volume 2, Book 21, Part 3, Chapter 6Publication: IIP Proceedings Year: 2022, Month: November Page No: 363-374, ISSN/ISBN: 978-93-95632-92-8, DOI/Link: https://rsquarel.org/assets/docupload/rsl20236B1210C2CB47785.pdf
Abstract:
Advent of AI has revolutionizing potential in total management of patient care. It is a reality today and application of AI interwoven from hospital administration to therapeutic decisions. A new paradigm has emerged and AI is changing the medical landscape in its entirety. The modern AI utilizes the innovations in machine learning and deep learnings which enable it to create and modify its the algorithms continuously based on real time informations. The modern AI tools are capable of learning from the patients data, recognize the patterns and modify them to be more precise and accurate. Thus predict the responses and outcome in hospital stay management. AI has been successfully applied to predicting the flow and footfall of patients into the emergency department. This helps in streamlining patient flow to hospital, monitoring treatment patients in ward and emergency department. Smart management of patients care through AI helps predicting the availability of bed in inpatients in advance which helps in optimizing the available resources. The general dictum is that intelligence is defined by learning from the events around and accurately analyzing and reasoning. It is clearly understood that AI is based on three components of learning enabled algorithms, machine learning and deep learning and upgrading the algorithm accordingly to be more accurate and pertinent tool.
Cite this: Dr. Shiv Shanker Tripathi,Dr. Pratika Mishra,Dr. Swagat Mahapatra,Dr. Avinav Bharati,Dr. Anoop Kr Srivastava,"AMALGAMATION OF ARTIFICIAL INTELLIGENCE (AI) IN EMERGENCY MEDICINE; A PARADIGM APPROACH", Futuristic Trends in Medical Sciences ,Volume 2, Book 21, Part 3, Chapter 6, November, 2022, 363-374, 978-93-95632-92-8, https://rsquarel.org/assets/docupload/rsl20236B1210C2CB47785.pdf
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