- 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.”
Can Deep Learning Radiomics with bpMRI Bolster Accuracy for Prostate Cancer Prognosis?
January 22nd 2025An emerging deep learning radiomics model based on biparametric MRI (bpMRI) offered a 14 to 17 percent higher AUC range than PI-RADS scoring for predicting the aggressiveness of prostate cancer, according to new research findings.
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
Can AI Bolster Breast Cancer Detection in DBT Screening?
January 16th 2025In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.
