FDA Radiology AI Devices

Fibresolve is a software device that analyzes lung CT images using deep learning to identify patterns suggestive of idiopathic pulmonary fibrosis. It provides a binary output to assist clinicians in diagnosing fibrotic lung disease, serving as an adjunct tool in the diagnostic workflow especially before invasive testing, helping to improve early detection and referral for appropriate clinical discussion.

BrainSee is software that helps clinicians predict whether patients aged 55 to 95 with amnestic mild cognitive impairment (aMCI) will progress to clinical Alzheimer's disease dementia within 5 years. It uses standard brain MRI scans along with patient demographics and cognitive test scores to generate a similarity score indicating the likelihood of progression. This tool provides supplemental prognostic information to aid clinical decision-making but is not a standalone diagnostic device.

Tyto Insights for Wheeze Detection is an AI-powered software tool that analyzes lung sounds recorded by the FDA-cleared Tyto Stethoscope to automatically detect the presence of wheezing. This helps clinicians by providing decision support in respiratory assessments for adults and children aged 2 years and older. It offers clear positive or negative wheeze detection results through a web interface accessible to healthcare providers and patients, improving remote and point-of-care lung sound evaluation.

Transpara Density 1.0.0 is an AI-powered software designed to assist healthcare professionals in assessing breast tissue composition from digital mammography and tomosynthesis images. It automatically calculates volumetric breast density, breast volume, and categorizes breast density according to ACR BI-RADS 5th Edition. This helps radiologists make informed decisions about breast cancer screening and diagnosis.

The Myocardial Strain Software Application by Circle Cardiovascular Imaging is a software tool that analyzes cardiac MRI images to provide detailed measurements of heart muscle deformation. It helps clinicians assess myocardial function by computing metrics like strain, displacement, velocity, and torsion, supporting diagnostic decisions in patients with suspected heart disease.

LOGIQ Totus is a comprehensive diagnostic ultrasound system designed for use by trained healthcare professionals. It offers imaging, measurement, display, and analysis for a wide range of clinical applications, including obstetrics, abdominal, cardiac, vascular, and musculoskeletal imaging. The system supports multiple ultrasonic imaging modes and integrates AI-enabled features such as auto preset selection and auto abdominal color assistant to improve efficiency and accuracy in clinical settings.

BriefCase-Quantification by Aidoc Medical is an AI-driven software designed to analyze non-cardiac-gated, non-contrast CT scans including the heart to detect and categorize coronary artery calcification (CAC). It provides physicians with a four-category risk assessment for coronary artery disease along with preview images of detected calcium, assisting clinical evaluation but not replacing full image review or clinical judgement.

The Low Ejection Fraction AI-ECG Algorithm by Anumana, Inc. is a software tool that analyzes 12-lead ECG signals using AI to aid in screening for patients with low left ventricular ejection fraction (≤ 40%). It helps clinicians identify adults at risk of heart failure to decide if further cardiac evaluation is needed. It works quickly on routine ECGs and does not replace diagnostic imaging but supports clinical judgment.

Volta AF-Xplorer is a medical software device that helps doctors analyze and annotate electrical signals from the heart in real-time. It uses machine learning to detect areas in the atria that exhibit abnormal electrical patterns during atrial fibrillation or tachycardia, supporting catheter ablation procedures. This software integrates with cardiac mapping systems to improve the precision and efficiency of cardiac electrophysiology interventions.

The CorVista System is a non-invasive medical device combining hardware and software to analyze physiological signals from patients with cardiovascular symptoms. Using machine learning, it provides healthcare providers with a likelihood of significant coronary artery disease to aid diagnosis, integrating clinical judgment and patient history. This helps clinicians identify patients who may need further evaluation or treatment.