Machine vision involves the use of computer vision technologies to enable machines to interpret and understand visual information from the world, similar to human vision. It encompasses image processing, pattern recognition, and artificial intelligence to extract valuable insights and make decisions based on visual data.
Published in Chapter:
An In-Depth Exploration of AI and Humanoid Robotics' Role in Contemporary Healthcare
Ranjit Barua (OmDayal Group of Institutions, India)
Copyright: © 2024
|Pages: 20
DOI: 10.4018/979-8-3693-2238-3.ch003
Abstract
In contemporary healthcare, artificial intelligence (AI) and humanoid robotics are transformative forces, revolutionizing patient care and medical practices. AI algorithms analyze vast datasets to enhance diagnostic accuracy, enabling early disease detection and personalized treatment plans. Humanoid robots, equipped with AI, assist in repetitive tasks, patient monitoring, and even surgery, augmenting healthcare professionals' capabilities. This synergy between AI and robotics not only improves efficiency but also fosters patient engagement and empowers healthcare providers. These technologies streamline administrative processes, reduce errors, and facilitate remote patient monitoring. However, ethical considerations and the need for responsible AI deployment must be addressed. Despite challenges, the integration of AI and humanoid robotics marks a paradigm shift in healthcare, promising more precise diagnoses, efficient treatments, and ultimately, improved patient outcomes in the ever-evolving landscape of medical science.