FDA Clears Cardiac and Lung AI Applications for Exo Iris Handheld Ultrasound
The artificial intelligence (AI)-powered applications reportedly allow clinicians to diagnose pulmonary edema and measure left ventricle ejection fraction within seconds.
The Food and Drug Administration (FDA) has granted 510(k) clearance for the addition of cardiac and lung artificial intelligence (AI) applications for the Exo Iris handheld ultrasound device.
With rapid identification of B-lines, the lung AI application allows quick detection of pulmonary edema, according to Exo. Whether one is utilizing parasternal long axis (PLAX) or apical four-chamber views, Exo said the cardiac AI application enables clinicians to ascertain stroke volume and measure left ventricle ejection fraction (LVEF) in seconds.
Newly FDA-cleared cardio and lung AI applications for the Exo Iris handheld ultrasound device may facilitate assessments of left ventricle ejection fraction (LVEF) and pulmonary edema in seconds, according to Exo, the manufacturer of the Exo Iris device. (Images courtesy of Exo.)
Emphasizing that the AI applications have been trained over 100,000 ultrasound images, including point-of-care images taken in critical care units and emergency room settings, Exo maintained that the cardiac and lung AI applications provide real-time recognition of key imaging landmarks, even with less than perfect scans.
“Exo’s cardiac and lung AI applications are a game-changer,” said Ted Koutouzis, M.D., a clinical instructor in emergency medicine at Northwestern Medicine in Chicago. “Now I have a fast and reliable clinical tool to help easily distinguish between COPD and CHF patients for precise and timely care.”
Study: AI-Generated ADC Maps from MRI More Than Double Specificity in Prostate Cancer Detection
June 5th 2025Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.
Can AI Assessment of PET Imaging Predict Treatment Outcomes for Patients with Lymphoma?
June 2nd 2025The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.
Lunit Unveils Enhanced AI-Powered CXR Software Update
May 28th 2025The Lunit Insight CXR4 update reportedly offers new features such as current-prior comparison of chest X-rays (CXRs), acute bone fracture detection and a 99.5 percent negative predictive value (NPV) for identifying normal CXRs.
