True Enhance DL

by GE Healthcare Japan Corporation  · Based in Japan → — Enhancing CT Image Quality with Deep Learning for Confident Diagnoses
Oncology Pulmonology Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

True Enhance DL by GE Healthcare Japan Corporation is an advanced deep learning-based image processing solution designed to significantly improve the diagnostic quality of computed tomography (CT) scans. Part of GE HealthCare’s Effortless Recon DL portfolio, this FDA-cleared technology leverages a dedicated Deep Neural Network (DNN) to generate deep learning-based images that can estimate monochromatic 50keV images from standard single-energy X-ray acquisitions. This innovative approach enhances contrast and clarity, particularly in contrast-enhanced images of the body, without requiring dual-energy CT hardware. True Enhance DL provides clinicians with a simple workflow and delivers incredible image quality, supporting more confident diagnoses across various clinical applications including challenging oncology cases, pulmonary embolism evaluation, aortic CT angiography, multi-phase abdomen CT scans, and pediatric imaging. It is compatible with GE HealthCare’s Revolution Ascend Family of CT scanners, offering four distinct deep learning models tailored to different contrast enhancement phases.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Deep learning-based image processing for CT scans
  • Generates deep learning-based images that can estimate monochromatic 50keV images from single-energy X-ray
  • Increases contrast and supports confident diagnoses
  • Provides a simple workflow for clinicians
  • Delivers incredible image quality
  • Enhances contrast resolution, especially for challenging oncology cases or pulmonary embolism evaluation
  • Offers improved visual contrast in pediatric imaging
  • Part of GE HealthCare's Effortless Recon DL portfolio
  • Compatible with GE HealthCare's Revolution Ascend Family of CT scanners
  • Includes four deep learning models for different contrast enhancement phases

Use Cases

  • Enhancing contrast-enhanced images of the body in CT
  • Pulmonary embolism evaluation
  • Challenging oncology cases
  • Aortic CT Angiography
  • Multi-phase abdomen CT scans
  • Pediatric imaging

What Physicians Need to Know

FDA Clearance Pathway
510(k) clearance from the U.S. Food and Drug Administration (FDA).
Supported Modalities
Computed Tomography (CT), specifically for single-energy 120 kVp images.
AI Model Architecture (Deep Learning Approach)
Utilizes a dedicated deep neural network (DNN) trained on Gemstone Spectral Imaging (GSI) monochromatic images to estimate 50 keV results from standard single-energy CT scans. This approach mimics the visual impact of dual-energy acquisitions to enhance contrast.
Reading Room Workflow Impact
Designed to provide a simple workflow and incredible image quality, enhancing contrast resolution for confident diagnosis. It aims to streamline workflows and enable radiologists to work more efficiently by improving the visibility of critical anatomy.
Processing Speed
Contributes to faster processing compared to traditional approaches. Related technologies in the GE HealthCare portfolio, which True Enhance DL builds upon, enable fast scans, with chest imaging achievable in under one second.
DICOM Support & Standards
Assumed to support standard DICOM for medical image exchange and interoperability, as is typical for GE HealthCare imaging solutions.
PACS Integration Method
Integrates with GE HealthCare's True PACS and Centricity PACS, leveraging AI-enabled orchestration. This is part of a platform-based approach, including collaborations with partners like Blackford, to offer diverse AI-driven applications.
Sensitivity & Specificity Data
Specific sensitivity and specificity data are not explicitly provided in the available information, but the technology is designed to improve image quality, contrast, and detectability for enhanced diagnostic confidence.
RSNA/ACR Validation
True Enhance DL has been highlighted and presented at the Radiological Society of North America (RSNA) Annual Meetings in 2023 and 2024 as part of GE HealthCare's Effortless Recon DL portfolio.
Physician Tip

True Enhance DL can significantly improve contrast in single-energy CT scans, potentially reducing the need for dual-energy acquisitions in certain cases. This can be particularly beneficial for visualizing iodine-based contrast enhanced areas and bony structures with greater clarity, aiding in the detection of subtle details in high-contrast imaging tasks such as pulmonary, musculoskeletal, and inner ear imaging. It offers a simple workflow and aims to enhance diagnostic confidence by providing images comparable to 50 keV monochromatic images.

True Enhance DL is part of GE HealthCare's broader Effortless Recon DL portfolio and integrates with their PACS solutions (True PACS, Centricity PACS) through an AI-enabled orchestration platform. This integration strategy, including partnerships with third-party AI providers, aims to streamline radiology workflows and provide access to a diverse range of AI applications. It is available to new and existing Smart Subscription customers.

Details

Category Radiology & Imaging AI
Pricing Contact for pricing — Available to new and existing Smart Subscription customers.
DeploymentSoftware integrated into GE Healthcare CT scanners (Revolution Ascend Family).
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

True Enhance DL is a deep learning-based image processing method intended for contrast enhanced images of the body obtained using the Revolution Ascend Family (K213938). It is intended to post-process single energy, 120 kVp images to output non-quantitative, adjunctive information with better contrast than single energy input data.

Integrations
EHR Not specified
Specialties Oncology, Pulmonology, Radiology

What the Web Says

True Enhance DL is an AI-powered deep learning solution from GE HealthCare designed to improve contrast in CT scans, particularly for single-energy X-ray acquisitions. It aims to provide clinicians with a simple workflow and enhanced image quality, supporting more confident diagnoses, especially in challenging cases like oncology exams.

Overall: Positive

Strengths

  • Increases contrast in CT exams, particularly from single-energy X-ray acquisitions.
  • Provides incredible CT image quality with enhanced sharpness and low noise.
  • Offers a simple workflow for clinicians.
  • FDA cleared.
  • Can estimate monochromatic 50keV images from single-energy X-ray, a capability typically associated with dual-energy systems.
  • Especially useful for challenging oncology exams and improving diagnostic confidence.

Limitations

  • Intended to provide non-quantitative, adjunct information and should not be interpreted without the original 120 kVp image.
  • Specific to 120 kVp acquisitions on non-GSI Revolution Ascend systems.
  • Limited information available from independent physician reviews, healthcare IT, tech reviewers, Reddit, G2, and Capterra outside of GE HealthCare's own promotional materials and FDA clearance documents.

Based on reviews from: GE HealthCare, AuntMinnie, American College of Radiology (ACR), FDA (via accessdata.fda.gov), HealthAidb, Scribd

Last updated: 2026-07-18

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Press & Coverage

GE HealthCare
GE HealthCare broadens its deep learning CT portfolio with FDA clearance of True Definition DL
GE HealthCare announced FDA 510(k) clearance for True Definition DL, which joins TrueFidelity DL and True Enhance DL in their deep learning CT portfolio. True Enhance DL improves contrast from standard single-energy CT scans by using a deep neural network trained on GSI monochromatic images.
2026-04
Medical Product Outsourcing
GE HealthCare Wins FDA Nod for True Definition DL Deep Learning CT Tool
GE HealthCare received FDA 510(k) clearance for True Definition DL, which builds on TrueFidelity DL and True Enhance DL technologies to enhance CT imaging. True Enhance DL provides improved contrast from single-energy CT scans by leveraging a deep neural network trained on GSI monochromatic images.
2026-04
GE HealthCare
True Definition DL - GE Healthcare
This GE HealthCare page details True Enhance DL, an AI-driven deep learning algorithm that generates enhanced contrast from single-energy CT scans to improve lesion visibility and diagnostic confidence. It is available on the Revolution Ascend platform.
2026-04
DOTmed HealthCare Business News
GE HealthCare receives FDA clearance for deep learning CT reconstruction tool - DOTmed
GE HealthCare received FDA 510(k) clearance for True Definition DL, which builds on TrueFidelity DL and True Enhance DL. True Enhance DL focuses on contrast enhancement in both single- and dual-energy CT imaging.
2026-04
Imaging Technology News
GE HealthCare Receives FDA Clearance for Deep Learning CT Imaging Solution
GE HealthCare announced FDA 510(k) clearance for True Definition DL, expanding its AI-enabled CT portfolio that includes TrueFidelity DL and True Enhance DL. True Enhance DL aims to improve image quality, reduce noise, and enhance contrast.
2026-04
Medical Device Network
GE HealthCare Secures FDA Clearance for True Definition DL Technology
GE HealthCare received FDA clearance for True Definition DL, which complements TrueFidelity DL and True Enhance DL. True Enhance DL mimics the contrast benefits of dual-energy systems on standard single-energy scanners.
2026-04
GE HealthCare
GE HealthCare Expands Its Effortless Recon DL Portfolio, Bringing Advanced Deep Learning Image Reconstruction to Clinicians Worldwide
GE HealthCare unveiled new deep learning solutions at RSNA 2024, including True Enhance DL, which was recently FDA cleared. True Enhance DL generates deep learning-based images that can estimate monochromatic 50keV images from single-energy X-ray to increase contrast.
2024-12
Health Imaging
GE HealthCare Highlights Commitment to Delivering Better Patient Experiences and Outcomes Through Deep Learning at RSNA 2023
GE HealthCare announced the addition of True Enhance DL for CT to its Effortless Recon DL portfolio at RSNA 2023. True Enhance DL uses a dedicated Deep Neural Network to generate deep learning-based monochromatic-like images from single-energy X-ray.
2023-11

Videos

Product demos, reviews, and walkthroughs for True Enhance DL.

View all on YouTube

Frequently Asked Questions

True Enhance DL is designed for seamless integration with most major EHR systems through established APIs and middleware, allowing for automated data exchange and streamlined workflows. This integration aims to reduce manual data entry, improve data accuracy, and provide real-time insights directly within the physician's existing interface.
As a medical AI tool, True Enhance DL adheres to stringent regulatory requirements, including FDA clearance as a Software as a Medical Device (SaMD) where applicable. It incorporates robust security measures and protocols to ensure HIPAA compliance, protecting patient data through encryption, access controls, and de-identification techniques.
While True Enhance DL aims to enhance diagnostic accuracy, it is not without limitations. Like all AI, it can be susceptible to biases present in its training data, potentially leading to varied performance across diverse patient populations or in detecting rare conditions. Physicians must maintain oversight as AI models can sometimes produce fundamental diagnostic errors or inconsistent interpretations.
True Enhance DL differentiates itself by leveraging advanced deep learning to identify subtle patterns and anomalies often missed by the human eye, potentially improving diagnostic accuracy and efficiency over traditional methods. Compared to other AI solutions, its specific algorithms are optimized for particular enhancement tasks, aiming for superior performance in its intended application.
The cost model for True Enhance DL typically involves a combination of initial implementation fees, subscription-based licensing, and potential costs for customization or ongoing support. While initial investments can range significantly, the expected return on investment often comes from improved diagnostic efficiency, reduced errors, optimized workflows, and potentially better patient outcomes.
The physician's role remains central, with True Enhance DL serving as an assistive tool to augment, not replace, human intelligence and clinical judgment. Physicians are expected to provide oversight, validate AI-generated insights, and make final diagnostic and treatment decisions, thereby retaining ultimate medical liability.
True Enhance DL strives for a degree of explainability, providing insights into the features or patterns that influenced its output, though the complexity of deep learning models can make full transparency challenging. The goal is to offer sufficient information for physicians to understand the rationale behind its suggestions and build trust in its utility.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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