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Conversational Artificial Intelligence
book

Conversational Artificial Intelligence

by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, K. Sakthidasan Sankaran
March 2024
Intermediate to advanced content levelIntermediate to advanced
800 pages
28h 48m
English
Wiley-Scrivener
Content preview from Conversational Artificial Intelligence

38Leveraging Natural Language Processing in Conversational AI Agents to Improve Healthcare Security

Jami Venkata Suman1*, Farooq Sunar Mahammad2, M. Sunil Kumar3, B. Sai Chandana4, and Sankararao Majji5

1Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India

2Department of Computer Science Engineering, Santhiram Engineering College Nandyal, Nandyal, Andhra Pradesh, India

3Department of Computer Science and Engineering, School of Computing, Mohan Babu University (erstwhile Sree Vidyanikethan Engineering College), Tirupathi, AP, India

4School of Computer Science and Engineering, VIT-AP University, Amaravathi, India

5Department of ECE, GRIET, Hyderabad, India

Abstract

While the widespread adoption of healthcare information technology has many positive outcomes, it has also presented new obstacles for protecting patient information. Natural language processing (NLP)-enabled conversational artificial intelligence (AI) agents are becoming increasingly useful in the healthcare industry as a means to improve both patient encounters and administrative workflows. Due to its sensitive nature, healthcare data must be protected by strict security procedures. This research delves into NLP in conversational AI agents’ potential for enhancing healthcare’s security infrastructure. We talk about how entity recognition, sentiment analysis, and anomaly detection are just some of the NLP-driven tactics that may be used to strengthen healthcare data security. Furthermore, ...

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Publisher Resources

ISBN: 9781394200566Purchase Link