The Power of ASUS Healthcare AI in Imaging

AI’s potential to improve patient care, medical diagnosis, and operational efficiency has made it popular in healthcare. Medical imaging utilization has grown substantially in healthcare

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Healthcare found that CT and ultrasound scans had nearly doubled in the past decade. More healthcare businesses are investing in AI and machine learning to meet medical imaging demand and reduce staff workload

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AI has improved medical imaging accuracy and efficiency, especially in symptom diagnosis and illness risk prediction

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Radiology found AI systems accurate in breast cancer risk prediction. Another Tulane University study found a machine-assisted AI software could effectively diagnose colorectal cancer

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Third most prevalent disease worldwide, colorectal cancer is generally detected at advanced stages when treatment options are restricted, according to the WHO

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Celebrating the Super-Aged Society with ASUS Smart Healthcare Solutions After training on many datasets, EndoAim can categorize all observed polyps as adenoma or not

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TFDA medical device approval from Taiwan’s Ministry of Health and Welfare and National Quality Seal were granted to EndoAim last year

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As the healthcare business increasingly uses AI, ASUS intends to develop AI-based solutions to improve healthcare delivery For more details visit govindhtech.com

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