FDA Radiology AI Devices

MR Diffusion Perfusion Mismatch V1.0 by Olea Medical is an AI-powered software tool that automatically processes MR Diffusion and Perfusion imaging data to compute parametric maps, extract volume metrics, and calculate mismatch volumes. It assists radiologists and surgeons by providing quantitative imaging data that supports clinical decision-making. The software integrates with medical image platforms to streamline workflow without altering the original images and is intended to be used alongside other clinical information, not as a standalone diagnostic tool.

AVIEW is a medical imaging software by Coreline Soft that helps clinicians analyze CT scans of the lungs and heart. It automatically segments lung structures, characterizes lung nodules with detailed measurements, and provides calcium scoring of coronary arteries to assess cardiovascular risk. It integrates with AI-based CAD tools and offers cloud and mobile access, making it easier and faster for doctors to diagnose lung and heart conditions.

BrainInsight is an automated software that processes low-field MRI brain images to provide automatic labeling, spatial measurement, and volumetric quantification of brain structures. It produces annotated and segmented brain images with color overlays and detailed reports, helping clinicians assess brain anatomy and abnormalities efficiently, particularly using low-field MRIs.

The Avenda Health AI Prostate Cancer Planning Software is an AI-driven tool that assists physicians by segmenting prostate MR images, evaluating and quantifying lesions, and planning diagnostic or interventional procedures such as biopsies or tissue ablation. It provides a cancer probability map and confidence scores to help clinicians accurately characterize prostate cancer lesions, improving workflow efficiency and decision making in prostate cancer care.

The SIS System version 5.6.0 is a medical imaging software that helps surgeons, neurologists, and radiologists visualize specific brain structures in 3D to assist with planning neurological surgeries such as deep brain stimulation. It uses advanced image processing and machine learning techniques to create patient-specific anatomical models from MRI and CT images, improving precision during surgical interventions.

AVIEW RT ACS is a software solution developed by Coreline Soft Co., Ltd. that uses deep learning AI to automatically segment organs and generate contours from CT scans. It is intended to assist clinicians, particularly in radiation oncology, by providing initial organ contours for treatment planning, saving time and improving accuracy.

AI-Rad Companion (Musculoskeletal) is an AI-powered software that analyzes previously acquired CT images to assist radiologists and physicians in evaluating musculoskeletal diseases. It segments, labels vertebrae, measures vertebral heights, and computes mean Hounsfield values to provide detailed quantitative and qualitative analysis, improving assessment and workflow efficiency for clinicians.

AI-Rad Companion Organs RT is a software product by Siemens that uses deep learning to automatically contour organs at risk on CT imaging data. The output contours help radiation oncologists plan external beam radiation therapy by providing accurate anatomical structures for treatment planning. The software processes CT scans, generates contour data in DICOM RTSTRUCT format, and integrates with treatment planning systems to improve clinician workflow and efficiency in radiation therapy preparation.

NS-HGlio is a software tool that assists clinicians in analyzing MRI images of patients with high-grade brain gliomas by automatically labeling and measuring tumor regions. It supports doctors by providing volumetric data and visual overlays to help monitor tumor progression or treatment response, but it is not intended for primary diagnosis.

The syngo.via RT Image Suite by Siemens is advanced software that helps clinicians visualize and manipulate 3D and 4D medical images from multiple modalities like CT, MRI, PET, and CBCT. It supports contouring tumors and organs at risk, image registration, and creating simple treatment plans, aiding radiation therapy preparation. The software includes AI-based deep learning for lung lobe segmentation to calculate lung ventilation, improving the accuracy and efficiency of radiation therapy planning.