The AI-enabled HealthFLD software demonstrated a 77.8 percent sensitivity rate and a 93.2 percent specificity rate for diagnosing moderate hepatic steatosis on contrast-enhanced CT scans in a recent study of over 2,900 patients.
The Food and Drug Administration (FDA) has granted 510(k) clearance for HealthFLD, an artificial intelligence (AI)-powered software, which provides automated liver attenuation analysis based on contrast and non-contrast computed tomography (CT) scans.1
HealthFLD reportedly provides adjunctive support in detecting fatty liver, the initial stage of hepatic steatosis, which may be an early indicator of metabolic dysfunction-associated steatotic liver disease (MASLD), a disease that reportedly affects 24 percent of adults in the United States, according to Nanox, the developer of HealthFLD.
In a 2023 retrospective study that examined the use of HealthFLD for detecting moderate hepatic steatosis on contrast-enhanced CT scans, researchers noted a 77.8 percent sensitivity rate and a 93.2 percent specificity rate at less than 80 HU.2
“We are proud to offer HealthFLD as the third product of Nanox AI’s suite of cutting-edge, AI-powered population health solutions designed to confront chronic diseases of great public health concern head-on and potentially improve health outcomes,” said Erez Meltzer, the chief executive officer of Nanox.
References
1. Nanox. Nanox receives FDA clearance for HealthFLD, an advanced AI-based software empowering clinicians in assessment of fatty liver. GlobeNewswire. Available at: https://www.globenewswire.com/news-release/2024/02/13/2828223/0/en/Nanox-Receives-FDA-Clearance-for-HealthFLD-an-Advanced-AI-Based-Software-Empowering-Clinicians-in-Assessment-of-Fatty-Liver.html . Published February 13, 2024. Accessed February 13, 2024.
2. Pickhardt PJ, Blake GM, Kimmel Y, et al. Detection of moderate hepatic steatosis on portal venous phase contrast-enhanced CT: evaluation using an automated artificial intelligence tool. AJR Am J Roentgenol. 2023;221(6):748-758.
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.