FDA Radiology AI Devices

BriefCase-Quantification is an AI-powered software that analyzes CT scans of the abdominal aorta to measure its maximum diameter. It helps trained medical specialists by providing preliminary diameter measurements to assist with evaluating normal and aneurysmal abdominal aortas, improving the efficiency of radiological assessments. The software is cloud-based, processes images from DICOM format, and integrates output with PACS for clinician review.

The SKOUT system is a computer-aided detection software designed to assist gastroenterologists during colonoscopy by identifying potential colorectal polyps in real time. It highlights suspected polyps on endoscopic video to aid in colorectal cancer screening or surveillance, supporting clinicians in making more accurate evaluations.

VisAble.IO is a software tool that helps physicians plan and evaluate liver ablation treatments by processing CT and MRI images. It assists in identifying treatment targets, planning needle placement virtually, and confirming the treatment area post-procedure to improve procedure accuracy and patient outcomes.

The iCAS-LV software from HighRAD Ltd. is an advanced image analysis tool that helps physicians visualize and evaluate liver lesions in CT scans. It uses interactive segmentation, automatic registration, and volume measurement to track lesions' size, shape, and changes over time, supporting clinical decision-making without replacing physician judgment.

HealthFLD is an AI-powered software that analyzes CT images of the liver to provide clinicians with quantitative and qualitative measurements of liver attenuation, aiding the assessment of fatty liver disease. It processes both non-contrast and contrast CT scans for adult patients and outputs liver density metrics to support clinical decision-making.

The GI Genius system by Cosmo Artificial Intelligence is an AI-powered tool that helps doctors detect colonic mucosal lesions, such as polyps and adenomas, in real time during routine white-light endoscopy exams. It enhances lesion detection by analyzing live endoscopy video and highlighting areas of interest on the gastrointestinal tract on the display, supporting clinicians in making accurate diagnoses during colonoscopy procedures.

The EW10-EC02 Endoscopy Support Program is an AI-driven software tool designed to support endoscopists by detecting colon polyps and adenomas in real time during standard colonoscopy exams. It processes real-time endoscopic video images from White Light Imaging and Linked Color Imaging to highlight potential lesions, helping clinicians improve diagnosis and patient outcomes without replacing clinical judgment.

Clarius Bladder AI is a software application integrated into the Clarius Ultrasound Scanner system that uses artificial intelligence to assist healthcare professionals in semi-automatically measuring bladder volume using ultrasound images. It automates bladder detection and measurement in both sagittal and transverse views but allows users to manually adjust results, facilitating efficient and accurate bladder volume assessment in adult patients.

BriefCase-Quantification is an AI-powered radiological image management and processing software that analyzes contrast-enhanced CT images to measure the maximum axial diameter of the abdominal aorta. It assists trained medical specialists by providing preliminary measurements to help evaluate normal and aneurysmal abdominal aortas. The tool outputs annotated preview images, which serve as unofficial measurements to aid clinical review, with final decisions left to radiologists.

MeVis Liver Suite is a medical image analysis software designed to assist physicians, especially radiologists and surgeons, in evaluating the liver and its vascular anatomy using CT and MR images. It provides tools for manual and AI-based semi-automatic segmentation of abdominal organs, liver lesions, and vascular structures, supporting treatment planning and follow-up assessment for liver-related conditions. The software calculates volumes, visualizes 3D vascular tumor margins, and enables manual spatial registration of images, enhancing clinical workflow without replacing diagnostic workstations.