The IQ-UIP AI software may bolster computed tomography diagnosis of usual interstitial pneumonia (UIP), which is reportedly misdiagnosed in over 50 percent of cases.
The Food and Drug Administration (FDA) has granted 510(k) clearance for IQ-UIP, an artificial intelligence (AI)-powered software for enhancing computed tomography (CT) diagnosis of usual interstitial pneumonia (UIP).
Leveraging deep learning technology, IQ-UIP provides automated analysis of conventional CT scans with rapid detection of UIP patterns such as honeycombing and subpleural fibrosis, according to 4DMedical, the developer of IQ-UIP.
In addition to facilitating improved detection of usual interstitial pneumonia (UIP) on standard CT scans, 4DMedical says the newly FDA-cleared AI software IQ-UIP provides automated referral workflows for specialists who treat UIP. (Image courtesy of RadiologyinThai.com )
Emphasizing that more than 50 percent of UIP is initially misdiagnosed, 4DMedical noted the condition’s non-specific symptomatology may mimic other conditions such as asthma and chronic obstructive pulmonary disease (COPD).
In addition to a rapid diagnosis of UIP, which is characterized by chronic inflammation and progressive lung fibrosis, 4DMedical said IQ-UIP provides automated referral workflows for specialists, facilitating timely care for a condition that has a median survival of one to two years after diagnosis.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.