FDA Radiology AI Devices

RT Elements 4.5 is a computer-based software suite designed to assist clinicians in planning radiation treatments for brain, spine, and extracranial lesions. It supports stereotactic and conformal radiation therapy by providing optimized treatment plans, dose reviews, and AI-based tumor segmentation, helping improve accuracy and efficiency in patient treatment.

Brainlab Elements (7.0) is a suite of medical imaging software applications that aid clinicians in planning cranial and extracranial surgical and radiotherapy treatments. It provides tools for image fusion (aligning different imaging datasets), angiographic image registration, contouring (outlining anatomical structures), fibertracking (visualizing brain white matter tracts from diffusion imaging), and functional MRI mapping. The device supports precise treatment planning by combining and analyzing various imaging data, helping clinicians visualize critical anatomical and functional areas without being used for diagnostic purposes.

The Visualase V2 MRI-Guided Laser Ablation System is a neurosurgical tool designed to ablate, necrotize, or coagulate brain tissue including tumors and epileptic foci, using a laser controlled and monitored in real-time via MRI thermometry. It helps clinicians precisely target and treat affected brain areas in adults and pediatric patients aged 2 years and older.

TAIMedImg DeepMets is a software tool that uses artificial intelligence to assist medical professionals by automatically outlining brain metastases on MRI scans. This helps speed up the workflow for planning radiation therapy treatment in patients with diagnosed brain metastases, ensuring accurate contours that clinicians can verify and adjust as needed.

Sim&Size is a medical imaging software designed to help clinicians visualize cerebral blood vessels and simulate the placement and sizing of neurovascular implantable devices for preoperative planning. It uses 3D images from rotational angiography to provide 3D reconstructions, automatic vessel segmentation, and tools for sizing and positioning implantable devices, supporting better planning of neurovascular interventions and surgeries.

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.

The Rapid Aneurysm Triage and Notification device by iSchemaView Inc. is an AI-powered software designed to analyze CT angiography images of the head to detect suspected saccular aneurysms. It helps hospital networks and radiologists by prioritizing cases with potential aneurysms for faster review, improving workflow in routine patient care. The software provides notifications and compressed preview images for informational use, supporting radiologists in triage but not intended for diagnosis.

BriefCase is an AI-powered software that analyzes head CT Angio (CTA) images to assist clinicians by flagging suspected Brain Aneurysm cases above 5 mm, helping prioritize urgent cases and improving workflow efficiency. It provides notifications and preview images but is not intended for primary diagnosis, supporting clinicians to review images faster and potentially reduce time to treatment.

Viz ANEURYSM is an AI-powered software that analyzes CT angiogram images of the head to detect suspected aneurysms of at least 4mm. It helps radiologists prioritize patient studies by flagging and highlighting cases with suspected aneurysms in a standalone application. This assists in faster triage and review, improving workflow efficiency while ensuring diagnostic decisions remain with the radiologist.

VBrain is a software tool that helps medical professionals in planning radiation therapy for brain tumors. It uses artificial intelligence, specifically deep learning neural networks, to automatically outline brain tumors and organs at risk on MRI scans of the brain. This assists clinicians by providing initial contours that they can review and adjust, improving workflow efficiency and accuracy in treatment planning.