ATSAI-2023: Augmenting Telehealth Service using Artificial Intelligence India, September 29-30, 2022

Artificial intelligence's utilization in health systems has brought about a new dawn in this area by providing lowered costs and improved services to patients. AI in Telemedicine is transforming clinical services and health care 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 management, and IoT, in addition to many others are improving the potential of healthcare personnel. Telehealth (or Telemedicine) is seen as “the use of e-data and communication technology to assist remote medical services, patient and professional healthcare education, and health organization. This book will cover novel models and innovations in telemedicine utilizing AI technologies like Machine Learning, Augmented Reality, Virtual Reality, big data management, IoT, etc. It will discuss various methods utilized to improvise remote care support and services related to patients. This book will discuss different healthcare areas and segments where we can utilize AR/VR techniques for making services efficient and easy for patients as well as medical personnel.

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 15-20 pages of content as per Taylor & Francis format.

List of Topics

The topics covered shall include (but are not limited to) the following -

• 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 records and big data management

• Application of AI for Disease Prediction

• AR/VR technology and Healthcare

• Modeling and Simulation Techniques for AI in Healthcare

• Smart innovative medical devices

• AI Ethics and Challenges in Healthcare

• e Opportunities/ Future of Healthcare

Committees

Organizing committee

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

Publication

The accepted Chapters will be published in Handbook on Augmenting Telehealth Services: Using Artificial IntelligenceCRC Press, Taylor & Francis Group Book 

Contact

All questions about submissions should be emailed to researchercalls4u@gmail.com