HATS-2022: Handbook on Augmenting Telehealth Services Using Artificial Intelligence

The utilization of Artificial Intelligence in health systems has brought about a new dawn in this area by lowering costs and improving patient outcomes. AI in telemedicine is transforming clinical services and the healthcare systems by introducing novel models and techniques for clinical support systems. The use of tools such as Machine Learning, Augmented Reality, Virtual Reality, big data and IoT, in addition to many others are empowering healthcare personnel like never before. This book shall cover novel models and innovations in telemedicine utilizing AI technologies and discuss various methods utilized to improvise remote care support and services related to patients. 

Submission Guidelines

Academic scientists, researchers and industrial practitioners are invited to submit chapter proposals. All submissions must be original and should not be under review by another publication. Authors should make sure that their submission has 10% or lower similarity as per iThenticate or Turnitin. All submitted chapters will be reviewed on a double-blind, peer review basis. The book chapters should be 20-25 pages of content as per Taylor & Francis format. The abstract should be around 150 words in length.

Important Dates:                                                           

Abstract Submission: 15^th Aug 2022                                     

Full Chapter Submission: 15^th September 2022                  

Notification to Authors: 15^th November 2022                    

Submission of the Revised Versions: 15^th Dec 2022           

Final Acceptance Notification: 31^st Dec 2022           

List of Topics

• AI and Healthcare
• AI empowering Telehealth
• Machine Learning for biomedical processing
• AI and Disease diagnosis
• Virtual Consultation
• Remote Healthcare Service using AI
• Remote Patient Monitoring
• Electronic Healthcare Record and big data management
• Application of AI for Disease Prediction
• AR/VR technology and Healthcare
• Modelling and Simulation Techniques for AI in Healthcare
• Smart innovative medical devices
• AI Ethics and Challenges in Healthcare
• Opportunities/ Future of Healthcare

ditors

• Dr Sonali Vyas - UPES, Dehradun, India
• Prof (Dr) Sunil Gupta - UPES, Dehradun, India
• Dr Monit Kapoor - Chitkara University, India
• Dr Samiya Khan - University of Wolverhampton, UK

Publication

This edited book will be published by CRC Press (Taylor & Francis). No Publication Fee.

Contact

All questions about submissions should be emailed to researcher.svyas@gmail.com