FDA Radiology AI Devices

The Biograph Vision and Biograph mCT PET/CT systems from Siemens are advanced imaging machines that combine CT and PET technologies to produce high-resolution images showing both anatomical structures and physiological functions. These systems help healthcare professionals detect, localize, diagnose, and stage various diseases including cancer, cardiovascular, and neurological disorders, and also assist with radiotherapy and interventional procedures.

The Aquilion ONE (TSX-306A/3) V10.0 with Spectral Imaging System is a whole-body multi-slice helical CT scanner. It captures high-quality cross-sectional volume images of whole organs in a single rotation. It includes advanced AI algorithms—AiCE for noise reduction using Deep Convolutional Neural Networks and FIRST iterative reconstruction to improve image quality and reduce radiation dose. It supports spectral imaging with rapid kV switching to differentiate material composition in tissues, aiding clinicians in diagnosis and treatment planning.

The Biograph Horizon is a medical imaging system that combines positron emission tomography (PET) and computed tomography (CT) to provide detailed metabolic and anatomical images of the body. It helps clinicians in detecting, diagnosing, and monitoring diseases such as cancer, cardiovascular, and neurological disorders by fusing high-resolution functional and anatomical data, thereby improving treatment planning and clinical decision-making.

Ethos Treatment Management, Ethos Treatment Planning, Ethos Radiotherapy System, and Halcyon are integrated tools designed to help clinicians manage, plan, and deliver radiation therapy treatment. The software supports radiation therapy plan management and adaptive treatment planning, while the radiotherapy systems deliver precise radiation treatment using image guidance to treat lesions and tumors anywhere in the body. These tools aim to improve the accuracy and effectiveness of radiotherapy for patients, including adults and pediatric patients.

Caption Guidance is an AI software accessory for ultrasound systems that helps clinicians, including those without specialized training, acquire high-quality cardiac ultrasound images. It provides real-time feedback and prescriptive guidance to optimize the capture of diagnostic standard 2D echocardiographic views, supporting quicker and more reliable heart assessments.

MRCAT brain is a software add-on for Philips Ingenia MR systems that generates CT-like images from MR scans to assist in radiation therapy treatment planning for brain tumor patients. It helps clinicians by providing detailed tissue density maps necessary for accurate radiation dose calculations without the need for a separate CT scan.

The Study Watch with Irregular Pulse Monitor is a wearable device that records, stores, and transmits single-channel ECG rhythms to help detect irregular pulses such as atrial fibrillation in adults. It uses proprietary electrodes and PPG sensors to collect physiological data, which can be reviewed by healthcare professionals via a web portal to support diagnosis and patient monitoring.

Auto Positioning is a feature for GE CT systems that streamlines and automates patient positioning for CT exams by using a 2D/3D video camera and AI (deep learning) to determine anatomical landmarks, patient orientation, and optimal table position. This helps technologists position patients accurately and safely, improving image quality and workflow efficiency.

ADAS 3D is a software application designed to help medical professionals visualize and analyze 3D cardiac images obtained from MRI and CT scans. It supports the quantification and visualization of myocardial scar and other cardiac features to assist clinical decision-making for patients with cardiovascular disease. The software enables detailed analysis of the heart's structure and enhancement patterns, facilitating better cardiovascular disease assessment.

QLAB Advanced Quantification Software is a tool designed to help clinicians view and measure ultrasound images, specifically focusing on analyzing the heart's right ventricle using advanced automatic segmentation and machine learning. It assists healthcare professionals by providing accurate measurements that improve cardiac assessments without manual contouring for most cases, making the diagnostic process faster and more reliable.