Abstract
Visual artificial intelligence (AI) is a branch of computer science that teaches robots to understand images and visual information similarly to how humans do. According to the algorithm's development, visual AI allows robots to do more than just perceive; it also allows them to understand and sense the meaning behind images. Because of the enormous progress made in this area, computers are now able to recognize and interpret images more accurately than humans. From managing medical data to enhancing care delivery through AI-assisted diagnosis, visual AI has a broad impact on healthcare. By building devices and tools that can learn, understand, anticipate, and act, artificial intelligence (AI) is revolutionizing the healthcare industry. This article will give a succinct summary of the state of visual intelligence today and its uses in important healthcare systems.
Recommended Citation
Rao, Sanjay S. and Angadi, Punnya. V.
(2025)
"Visual Artificial Intelligence in Healthcare: A Revolution in Making,"
Indian Journal of Health Sciences and Biomedical Research KLEU: Vol. 18:
Iss.
1, Article 2.
Available at:
https://kleijhsbr.researchcommons.org/journal/vol18/iss1/2
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