FDA Radiology AI Devices

TechLive is a software application designed to enable healthcare professionals to remotely access and control medical imaging devices in real-time for image acquisition, assistance, review, and training. It supports multiple imaging modalities and fosters collaboration among clinical staff across different locations, improving operational support and training without being intended for diagnostic use.

Saige-Density is a software tool that analyzes digital mammography and breast tomosynthesis images to categorize breast density according to the ACR BI-RADS Atlas 5th Edition. It aids radiologists by providing adjunctive information to help assess breast tissue composition, improving the evaluation process, although it is not a diagnostic aid itself.

Saige-Dx (3.1.0) is an AI-based software designed to assist radiologists by analyzing digital breast tomosynthesis mammograms to detect suspicious soft tissue lesions and calcifications indicative of cancer. It evaluates 3D and 2D mammogram images, assigning suspicion levels for findings and cases, and produces reports to support concurrent reading. This helps clinicians improve detection accuracy and reduce reading time in breast cancer screening for women aged 35 and older.

Saige-Dx by DeepHealth, Inc is an AI-powered software that assists radiologists by automatically analyzing DBT mammograms and associated 2D images to detect potential soft tissue lesions and calcifications that might indicate breast cancer. It provides suspicion levels for findings and the entire case to support physicians during screening mammogram interpretation, improving diagnostic accuracy and efficiency.

Saige-Density is a medical software that uses AI deep learning techniques to analyze digital mammograms, producing breast density categories based on ACR BI-RADS guidelines. It helps radiologists assess breast tissue composition by providing adjunctive information, improving breast cancer risk assessment and screening interpretation.

Saige-Dx is an AI-based software that analyzes digital breast tomosynthesis mammograms to detect suspicious soft tissue lesions and calcifications that may indicate cancer. It provides radiologists with a suspicion level for each finding and the entire case, helping improve detection accuracy and reduce reading time during breast cancer screening.

Saige-Q is a software tool that analyzes digital breast mammograms using artificial intelligence to identify exams that may contain suspicious findings suggestive of breast cancer. It helps radiologists prioritize these exams in their worklist, enabling faster review of potentially concerning cases. The tool provides passive notification codes but does not provide diagnostic decisions and supports both full-field digital mammography and digital breast tomosynthesis images.