Abstract
Telemedicine is a part of e-Health that employs information communication
technologies (ICT) to transmit healthcare information required for educational and
therapeutic purposes. Telehealth attempts to overcome the challenges in the delivery of
health services due to distance, time, and challenging landscapes. It plays a significant
role during floods and earthquakes. It enables better access and cost-effectiveness in
both developing and developed world locations. The health sector has been
dramatically influenced and affected by the Covid-19 pandemic with the adoption of
improved technology that has allowed many people to access healthcare from the
comfort of their homes. Remote follow-up and monitoring are also provided through
Telemedicine as postoperative care. The possible scope and application of Artificial
Intelligence techniques in the Telehealth area are discussed in this paper. The paper
also focuses on different computational solutions involving machine learning and
Artificial Intelligence to tackle the crisis. The methods focus on two major areas: 1)
improvement in the quality of existing clinical practices, and service delivery. 2) the
growth besides the support of innovative models for healthcare. The methods to
improve quality include digital storage of patient data and large datasets, automation of
manual tasks for CT scans, conducting X-rays and handling the emergency, and
electronic consultation for diagnosis, treatment, and monitoring of patients. Innovative
methods such as ICT and technology such as accelerometers, GPS, gyroscopes, motion
sensors, and so on, are used in healthcare.