Danish Arif
Papers
1
Total Citations
6
H-Index
1
About
Danish Arif is a researcher at the forefront of healthcare automation and telemedicine, with a focus on developing cost-effective, technology-driven solutions to improve patient care. His most cited work, "Cost Effective Solution for Minimization of Medical Errors and Acquisition of Vitals By Using Autonomous Nursing Robot" (2017), has garnered 6 citations and addresses a critical gap in hospital monitoring. Arif’s key contribution lies in integrating autonomous robotics and telepresence systems to reduce medical errors and enable continuous vital sign acquisition, particularly in settings where specialist availability is limited. By leveraging telepresence technologies, he proposes a scalable framework that allows remote physicians to monitor inpatients in real-time, bridging the gap between resource-constrained hospitals and expert care. This work underscores his commitment to accessible, low-cost healthcare innovations. Arif’s research is notable for its practical impact, offering a blueprint for deploying autonomous nursing robots in underserved medical environments. His efforts highlight a growing intersection of robotics, IoT, and healthcare, positioning him as a promising voice in the drive toward safer, more efficient clinical workflows.
Research Focus
Key Achievements
Top Papers
- 1