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Enhancing health care through medical cognitive virtual agents
by
Sahoo, Kshira Sagar
, Tripathy, Hrudaya Kumar
, Abdelmaboud, Abdelzahir
, Mishra, Sushruta
, Jhanjhi, NZ
, Hassan Elnour, Asma Abbas
, Chaudhury, Pamela
in
Architecture
/ Artificial intelligence
/ Automation
/ Brain research
/ Cognition & reasoning
/ Computer engineering
/ Computer science
/ Health care
/ Hypotheses
/ Original
/ Patients
/ Tutoring
2024
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Enhancing health care through medical cognitive virtual agents
by
Sahoo, Kshira Sagar
, Tripathy, Hrudaya Kumar
, Abdelmaboud, Abdelzahir
, Mishra, Sushruta
, Jhanjhi, NZ
, Hassan Elnour, Asma Abbas
, Chaudhury, Pamela
in
Architecture
/ Artificial intelligence
/ Automation
/ Brain research
/ Cognition & reasoning
/ Computer engineering
/ Computer science
/ Health care
/ Hypotheses
/ Original
/ Patients
/ Tutoring
2024
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Do you wish to request the book?
Enhancing health care through medical cognitive virtual agents
by
Sahoo, Kshira Sagar
, Tripathy, Hrudaya Kumar
, Abdelmaboud, Abdelzahir
, Mishra, Sushruta
, Jhanjhi, NZ
, Hassan Elnour, Asma Abbas
, Chaudhury, Pamela
in
Architecture
/ Artificial intelligence
/ Automation
/ Brain research
/ Cognition & reasoning
/ Computer engineering
/ Computer science
/ Health care
/ Hypotheses
/ Original
/ Patients
/ Tutoring
2024
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Enhancing health care through medical cognitive virtual agents
Journal Article
Enhancing health care through medical cognitive virtual agents
2024
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Overview
Objective
The modern era of cognitive intelligence in clinical space has led to the rise of ‘Medical Cognitive Virtual Agents’ (MCVAs) which are labeled as intelligent virtual assistants interacting with users in a context-sensitive and ambient manner. They aim to augment users' cognitive capabilities thereby helping both patients and medical experts in providing personalized healthcare like remote health tracking, emergency healthcare and robotic diagnosis of critical illness, among others. The objective of this study is to explore the technical aspects of MCVA and their relevance in modern healthcare.
Methods
In this study, a comprehensive and interpretable analysis of MCVAs are presented and their impacts are discussed. A novel system framework prototype based on artificial intelligence for MCVA is presented. Architectural workflow of potential applications of functionalities of MCVAs are detailed. A novel MCVA relevance survey analysis was undertaken during March-April 2023 at Bhubaneswar, Odisha, India to understand the current position of MCVA in society.
Results
Outcome of the survey delivered constructive results. Majority of people associated with healthcare showed their inclination towards MCVA. The curiosity for MCVA in Urban zone was more than in rural areas. Also, elderly citizens preferred using MCVA more as compared to youths. Medical decision support emerged as the most preferred application of MCVA.
Conclusion
The article established and validated the relevance of MCVA in modern healthcare. The study showed that MCVA is likely to grow in future and can prove to be an effective assistance to medical experts in coming days.
Publisher
SAGE Publications,Sage Publications Ltd,SAGE Publishing
Subject
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