GE HealthCare Enhances AI Imaging with New Deep Learning Solutions
Global, Friday, 6 December 2024.
GE HealthCare expands its Effortless Recon DL portfolio, introducing advanced AI technologies to improve diagnostic imaging quality, accuracy, and efficiency, as announced at RSNA 2024.
Revolutionizing Medical Imaging
In a significant development announced on December 5, 2024, GE HealthCare unveiled three new advanced deep learning image processing and reconstruction solutions at the RSNA 2024 Annual Meeting in Chicago [1]. This expansion comes at a crucial time, as over 80% of all health system visits include an imaging exam [1]. The enhancement of imaging technology is particularly vital given that the U.S. is expected to report more than two million new cancer cases in 2024, translating to approximately 5,500 diagnoses daily [1].
Breakthrough Technologies
The expanded Effortless Recon DL portfolio introduces three groundbreaking solutions: Sonic DL for 3D, Clarify DL, and TrueFidelity DL [1]. Sonic DL for 3D demonstrates remarkable efficiency, capable of reducing MRI scan times by up to 86% while maintaining high-resolution quality [1]. Clarify DL has shown exceptional performance in bone SPECT imaging, with improved image quality rated better in 98% of clinical evaluations [1]. The TrueFidelity DL system, when combined with the Revolution Apex platform, enables unprecedented one-beat cardiac imaging capabilities [1].
Quantifiable Improvements
The latest innovations show measurable advancements in imaging technology. The Precision DL system, announced on December 4, 2024, demonstrates an 11% improvement in Contrast Recovery and a 23% enhancement in Contrast-to-Noise Ratio compared to traditional non-Time-of-Flight reconstruction [1]. Furthermore, when integrated with Omni Legend 32 cm technology, it achieves a 14% improvement in feature quantitation accuracy while maintaining consistent noise levels [1].
Impact on Healthcare Delivery
These advancements address critical challenges in the radiology field, where a recent survey from the American Society of Radiologic Technologists revealed that 54% of radiology professionals report emotional exhaustion [1]. As noted by Roland Rott, President and CEO of Imaging at GE HealthCare, ‘Blurry images can compromise clinicians’ ability to diagnose with confidence and speed’ [1]. Professor Klaus Hergan from University Hospital Salzburg, Austria, has praised these developments, stating that ‘The sharpness of the images is a breakthrough development in image reconstruction algorithms’ [1].