FDA Radiology AI Devices

CoLumbo is a software tool that helps radiologists and spine surgeons analyze MRI images of the lumbar spine by automatically segmenting anatomical features and measuring spine structures. It identifies out-of-range measurements and assists users in documenting findings, streamlining the review and reporting process without making any medical diagnosis.

The uMI Panvivo is a combined PET/CT imaging system designed to provide high-quality functional and anatomical images to help clinicians detect, localize, evaluate, and monitor abnormalities such as tumors, lesions, infections, and other conditions across various body areas. It supports better patient experience with a large bore and advanced iterative reconstruction algorithms aided by deep learning, improving image quality and diagnostic accuracy. Additionally, it assists in radiotherapy planning and interventional radiology procedures.

OptimMRI (v2) is a software application that processes MRI brain images to generate detailed 3D annotated models highlighting specific brain regions. It helps clinicians in planning neurosurgical procedures by localizing critical brain nuclei, thus supporting accurate functional planning and improving surgical outcomes.

The i2Contour by MRIMath LLC is a web-based AI-assisted software designed to semi-automatically segment and quantify glioblastoma tumors from MRI scans. It helps trained medical professionals by providing initial tumor contours which can be reviewed and manually adjusted, enabling accurate tumor volume assessments for patients with pathologically confirmed glioblastoma. This facilitates monitoring tumor progression or treatment response but is not intended for primary diagnosis.

AI Platform 2.0 (AIP002) by Exo Imaging is an AI-powered software tool designed to assist healthcare professionals by analyzing ultrasound images of the heart and lungs. It helps detect lung structures and artifacts, and quantifies cardiac functions such as left ventricular ejection fraction and myocardium wall thickness. The tool also provides real-time quality feedback to improve ultrasound image acquisition, aiding clinicians in making better diagnostic assessments for adult patients.

The Precision AI Surgical Planning System (PAI-SPS) is a software and hardware system designed to assist surgeons in preoperative planning and intraoperative guidance for shoulder replacement surgeries. It creates a 3D model of the patient's shoulder joint from CT scans, allowing surgeons to visualize and plan implant placement precisely. Custom surgical guides are also produced to help accurately position shoulder implant components during surgery, enhancing surgical outcomes.

CardIQ Suite is a non-invasive software tool that analyses 2D and 3D CT cardiac images to assist clinicians in visualizing and measuring heart structures and vessels. It provides calcium scoring to evaluate calcified plaques and uses deep learning algorithms to automate segmentation and labeling of heart and coronary arteries, improving diagnostic workflow for cardiovascular diseases.

MammoScreen 3 is an artificial intelligence software tool designed to assist physicians in interpreting screening mammograms from digital mammography and digital breast tomosynthesis systems. It provides graphical marks indicating suspicious soft-tissue lesions or calcifications, along with a suspicion score and lesion characterization, helping radiologists in their diagnosis and reporting. The software is intended as an aid to, but not a replacement for, the physician's clinical judgment.

AISAP Cardio V1.0 is an AI-powered software that analyzes cardiac point-of-care ultrasound images to detect and assess valvular pathologies like regurgitations and stenosis, and measures key cardiac functions such as ejection fraction and chamber sizes. It supports physicians by generating diagnostic reports that aid in interpreting ultrasound images, improving accuracy and efficiency in evaluating heart conditions in adult patients.

CADDIE is a cloud-based AI software that helps gastroenterologists detect suspected colorectal polyps during colonoscopy procedures by analyzing live video from endoscopy. It highlights potential lesions with visual markers to aid clinical decision-making, improving polyp detection without replacing the physician's judgment.