FDA Radiology AI Devices

NeuroQuant is an automated software device designed to help clinicians by providing automatic labeling, visualization, and volumetric measurement of brain structures and lesions from MRI scans. It enhances clinical workflow by delivering segmented images and morphometric reports that can be reviewed and compared to normative data, aiding in diagnosis and monitoring of neurological conditions.

qCT LN Quant is a software tool that helps radiologists track, assess, and quantify lung nodules seen in CT scans. It provides volumetric and diameter measurements of user-selected nodules, with 2D and 3D visualizations, and uses AI algorithms to assist in characterizing nodules including measurements like volume doubling time and density. It supports clinical decision-making with integrated risk calculators based on established lung nodule malignancy and management guidelines.

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.

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.

RUS by Hutom Inc. is a medical imaging software designed to aid healthcare professionals in reading, interpreting, and planning treatment based on iodine contrast-enhanced abdominal CT scans. The software provides basic imaging tools, 3D modeling, and segmentation of anatomical structures, including organs and vessels, enhancing surgical planning and diagnosis. It incorporates AI-based machine learning models to improve accuracy in organ segmentation, vessel detection, and pneumoperitoneum analysis, supporting clinicians in patient management decisions.

Acorn 3D Software is an advanced medical imaging software that processes CT and CTA scans to visualize, segment, and create detailed 3D digital models of musculoskeletal and craniomaxillofacial anatomy, including spine regions. It offers machine learning-based automatic segmentation for certain vertebrae and semi-automatic/manual tools for other bones. Clinicians can use these digital models for measurement, treatment planning, and can also produce physical 3D printed replicas for diagnostic purposes, enhancing surgical planning and patient care.

Medihub Prostate is a semi-automatic image processing software designed for analyzing prostate MR images. It uses AI to outline the prostate region semi-automatically and supports radiologists and urologists in reviewing MR data. The software requires user editing and confirmation, enhancing the accuracy of prostate volume measurements and analysis, aiding clinical decision-making without replacing the expert's judgment.

SMART Bun-Yo-Matic CT is an AI-based software tool that helps orthopedic healthcare professionals by automatically segmenting foot and ankle bones from CT images, creating 3D anatomical models, measuring structures, and providing surgical planning visualizations. This supports diagnosis and treatment planning, especially for conditions like hallux valgus, through detailed, interactive reports and templates.

The SIS System by Surgical Information Sciences, Inc. is an advanced software tool that assists clinicians, including surgeons, neurologists, and radiologists, by providing detailed visualization and 3D models of specific brain structures. It uses machine learning models trained on high-resolution MR images to aid in planning and guiding deep brain stimulation surgeries and other neurological procedures, helping to precisely locate key brain areas and implanted leads for improved surgical outcomes.