- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears New AI-Powered MRI System from Fujifilm
The Echelon Synergy MRI system reportedly uses deep learning technology to accelerate image acquisition and enhance image quality.
The Food and Drug Administration (FDA) has granted 510(k) clearance for the Echelon Synergy magnetic resonance imaging (MRI) system, which combines artificial intelligence (AI) enhancements for image acquisition and quality with improved radiology workflow efficiencies.
The Echelon Synergy MRI system utilizes proprietary Deep Learning Reconstruction technology to improve the quality of MRI scans and the speed of acquiring the images, according to Fujifilm Healthcare Americas Corporation, the manufacturer of the new 1.5 Tesla MRI system.
One key benefit of the Echelon Synergy MRI system is the AutoExam One Touch, which allows automated workflows for brain and knee MRI exams.
In order to facilitate improved patient comfort, Fujifilm said the Echelon Synergy system offers reduced acoustic noise through SoftSound™ gradient technology as well as a 70 cm-wide bore and 62 cm-wide table that can accommodate patients weighing up to 550 pounds.
“Fujifilm is committed to delivering medical advancements focused on enhancing the patient’s experience while streamlining the workflow for today’s busy imaging providers,” noted Shawn Etheridge, the executive director of modality solutions for Fujifilm Healthcare Americas Corporation.
“Echelon Synergy is designed to facilitate optimal comfort and help alleviate anxiety with its large bore and wide patient table. Alleviating any patient anxiety not only helps to enhance the patient experience, but could also improve a radiologist’s workflow, as the less nervous a patient, the more efficient and quickly the scan will get done.”
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Grants Expanded 510(k) Clearance for Xenoview 3T MRI Chest Coil in GE HealthCare MRI Platforms
November 21st 2024Utilized in conjunction with hyperpolarized Xenon-129 for the assessment of lung ventilation, the chest coil can now be employed in the Signa Premier and Discovery MR750 3T MRI systems.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
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New Study Examines Agreement Between Radiologists and Referring Clinicians on Follow-Up Imaging
November 18th 2024Agreement on follow-up imaging was 41 percent more likely with recommendations by thoracic radiologists and 36 percent less likely on recommendations for follow-up nuclear imaging, according to new research.
