FDA Radiology AI Devices

The ShortCut device by Pi-Cardia Ltd. is a single-use catheter designed to safely split bioprosthetic aortic valve leaflets to facilitate valve-in-valve procedures in patients at risk of coronary obstruction. This catheter-based tool is inserted via the femoral artery and positions its distal cutting element on valve leaflets to perform precise cuts, helping improve blood flow and reduce complications during transcatheter valve replacement procedures. It has been demonstrated in clinical studies to be effective and safe, providing a new treatment option for high-risk patients undergoing valve-in-valve procedures.

Viz HCM is a machine learning-based software designed to analyze 12-lead ECG recordings to detect signs of hypertrophic cardiomyopathy (HCM). It helps clinicians identify patients who may have HCM and need further clinical follow-up, supporting early detection though not replacing full diagnostic evaluation. The system includes an ECG analysis algorithm and a mobile app to present results, improving screening in routine cardiology care.

FEops HEARTguide is a software tool that helps clinicians simulate and plan the implantation of left atrial appendage occlusion devices in individual patients. By using CT scans to create patient-specific heart models and incorporating device mechanics, it predicts how the device will deform and interact with the tissue, aiding pre-procedural decision-making to improve procedural outcomes and device placement.

Oxehealth Vital Signs is a software device that analyzes video images captured by standard cameras to noninvasively measure a patient's pulse rate and estimated breathing rate. It uses proprietary algorithms to monitor skin pixel intensity changes and chest wall movements, allowing healthcare staff to perform vital sign spot checks without disturbing the patient. This is especially useful in hospital or secured environments where minimizing patient contact is advantageous.

The Analytic for Hemodynamic Instability (AHI) is a software device that analyzes ECG signals to monitor patients' hemodynamic status, detecting signs of instability defined by low blood pressure combined with high heart rate. It provides clinicians with frequent, updated alerts to increase vigilance for patients at risk of hemodynamic deterioration, serving as an adjunctive monitoring tool alongside other patient data to improve early detection and patient management in clinical settings.

The Acumen Hypotension Prediction Index (HPI) Feature Software is a clinical decision support tool that uses arterial blood pressure waveform data and patient demographics to predict the likelihood that a patient will experience hypotension within 15 minutes. It provides clinicians real-time, adjunctive physiological insights to help anticipate and manage hypotensive events in operating room patients with advanced hemodynamic monitoring.