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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.
Computer vision AI is designed to interpret and react to situations much like a doctor, nurse or scientist would. The technology has the potential to improve patient monitoring, allow providers to diagnose diseases much earlier, and help make surgeries more precise.Computer vision AI also has the potential to reduce errors because unlike humans, computers don’t blink and or get tired. “It’s important to recognize these tools aren’t magic wands or silver bullets,” cautions Dr. Christopher Longhurst, chief clinical and innovation officer at UC San Diego Health and executive director of the Jacobs Center for Health Innovation.
Continue reading at healthtechmagazine.net
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