GE Improves Cancer Diagnosis Accuracy
The GE Healthcare GE Invenia ABUS 2.0, powered by Intel® Core™ processors and third-party AI tools, improves the clinical accuracy of breast cancer lesion detection, providing up to 93 percent sensitivity for detection and reducing reading time by 33 percent1 2.
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TGen Cuts Sample Processing Time to Seven Hours3
Discover how high performance computing—enabled by Intel® Xeon® Scalable processors, Intel® Optane™ memory, and Dell rack servers—is helping in the development of genomic treatments for rare diseases.
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KFBIO Accelerates Cancer Screening by 8.4x4
Find out how KFBIO used Intel® AI technologies to accelerate automated screening for abnormalities in Pap smears by 8.4x.
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Samsung Improves Nerve Detection Accuracy by More Than 20%5
Learn how real-time AI inference of ultrasound nerve images helped accelerate image processing, improve workflows, and boost accuracy of nerve detection for anesthesiologists.
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