Artificial Intelligence (AI) and Robotics in Modern Healthcare: The Dawn of a New Era
Abstract
Artificial intelligence (AI) is a fast-growing area that finds frequent applications in the education, healthcare, and business sectors. AI-based intelligent physical robots have been predicted to alter healthcare delivery significantly. Healthcare organizations are increasingly using robots to do a variety of jobs that improve patient care. During the COVID-19 pandemic, intelligent robot systems have significantly reduced the workload of medical professionals by providing assistance in risk assessment, monitoring, diagnosis, disinfection, telehealthcare, and numerous other areas. AI-powered technologies have also significantly accelerated the long-awaited COVID-19 vaccine discovery and clinical development research process for this deadly pathogen. The pandemic has expedited technological advancements in the digital era. Beyond the advances in safe data-sharing, telemedicine, payments, and remote monitoring, molecular modelling, target/structure-based drug design, cancer prediction, anticancer drug development, additional critical developments in blockchain, augmented reality, virtual reality, and AI-assisted, generative, and/or powered technologies are also remarkable. In the area of robotics in medical education, the majority of recent research has been on robotic surgery training for surgeons, with simulators used to practice surgical techniques. Robots have been utilized extensively in assistive and rehabilitative treatments in addition to surgical education, where the patient has historically been the focus of attention. Over the last twenty years, there has been a growing use of A0049 in the healthcare industry. When human and AI are combined, patients can receive more accurate diagnoses and have better recovery and functional outcomes. In addition to doctors and other healthcare professionals, patients and other members of the public must also embrace AI for it to reach its full potential.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Technology and Human Factors in Education and Health
Internet of Things and AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026