Computer vision is a type of artificial intelligence designed to replicate the way humans see and understand the world around them. The AI camera takes in visual information, and the algorithm processes the data and learns from it to perform tasks.
The use of computer vision in healthcare is expected to grow quickly over the next decade. The global market value is projected to increase from $2.6 billion in 2024 to more than $53 billion by 2034, according to Precedence Research.
Like all AI, computer vision is only as reliable as the information that feeds it, so organizations need to prioritize data quality and testing to ensure accuracy. However, if utilized strategically, experts say computer vision could significantly advance care quality and help solve long-running challenges such as growing patient demand and staff shortages.
“Sight is our most powerful sensory capability, with up to 90% of our brains directly or indirectly participating in the processing of visual information. Similarly, computer vision is the most valuable form of AI-enabled perception,” says Dr. Andrew Gostine, CEO of Artisight and a critical care anesthesiologist. “High-bandwidth image processing with computer vision is the only way to drive healthcare automation at the scale required to fix many of healthcare’s access and efficiency problems.”
Erin Laviola