FDA Clears New AI-Powered Imaging Processing Software for PET/CT
Precision DL, a deep learning-based software which will be available on GE HealthCare’s Omni Legend PET/CT device, reportedly increases the detectability of small, low-contrast lesions by 42 percent.
The Food and Drug Administration (FDA) has granted 510(k) clearance for Precision DL (GE HealthCare), an artificial intelligence (AI)-enabled image processing software, which may offer significant improvements in contrast-to-noise ratio (CNR), the accuracy of feature quantification, and the diagnosis of small lesions on positron emission tomography (PET)/ computed tomography (CT).
Engineered with a deep neural network trained on thousands of images via multiple reconstruction methods, Precision DL will be accessible through the Omni Legend PET/CT device (GE HealthCare).
The company said Precision DL offers a variety of imaging enhancement benefits including:
• an average 42 percent increase in the detection of small, low-contrast lesions;
• an average 23 percent improvement in CNR; and
• a 14 percent improvement in the accuracy of feature quantification.
“Precision DL enhances image quality – enabling us to spot small lesions, including on images obtained with very low dose injections and short bedtimes, to potentially start treatment and monitoring early, which might result in improved outcomes,” noted Flavio Forrer, M.D., Ph.D., the chairman of nuclear medicine at Kantonsspital St. Gallen in Switzerland.
(Editor’s note: For related content, see “GE Healthcare Launches Omni Legend PET/CT System at EANM Congress.”)
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
