AI Driven Nursing Assistant
The primary goal of this paper is to create and develop an artificial intelligence (ai) driven nursing assistant that can be controlled remotely by a doctor who is not physically present with the patient, utilizing advanced technologies such as ai and iot. It is not feasible for doctors to be present at all times and in every location, particularly in remote areas of India during the COVID-19 pandemic. As a consequence, in a crisis situation, numerous patients perish because they are unable to reach the hospital in time or the doctor is not available at the required moment. In such a scenario, AI-driven nursing assistants, also known as virtual doctors, play a crucial role in healthcare by processing real-time data using machine learning algorithms[5]. This paper discusses how technological advancements have opened up new possibilities for improving doctor services without direct contact, utilizing robots that can aid patients in managing their illnesses and offering solutions[8]. The suggested robot will enable doctors to monitor the patient's pulse, body temperature, heart rate, and other vital signs. This is achieved by incorporating various sensors into the robot's structure and transmitting the data via the wi-fi network. The medical professionals will employ an internet-of-things (iot)-based panel to manage and track the robot and patients. The foundation of robot is a self-driving car equipped with four wheels for its movement and communication between the doctor and robot occurs in real-time. This paper also explores the potential future developments of virtual doctor robots in the healthcare sector, the use of humanoid robots in surgical assistance, and other activities within the healthcare industry.
Authors
- R. B. Thapa (ORCID: https://orcid.org/0000-0003-3625-2587)
- Rohit Gupta (ORCID: https://orcid.org/0000-0002-4436-8275)
- Meenakshi Patil (ORCID: https://orcid.org/0000-0002-2225-5333)
- Prachi
- Shivani Nathani
Institutions
- CMR University (IN)
Publication Details
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/iceccc65144.2025.11063773
- Primary Topic
- Telemedicine and Telehealth Implementation
- Type
- article
- Field-Weighted Citation Impact
- 0.00