Precise Image

by Philips Medical Systems Nederland  · Based in Netherlands → — AI-powered CT image reconstruction for enhanced quality and lower dose.
Radiology
Website
Claim this tool
Is this the maker? Claim the company →

Contact vendor for pricing
Regulatory Status Disclosed

Overview

Philips Precise Image is an artificial intelligence (AI)-based reconstruction technique for Computed Tomography (CT) imaging. It is designed to produce high-quality images with a familiar appearance, similar to traditional filtered back projection (FBP) images, while incorporating noise-reduction capabilities.

This tool is intended for use by radiologists and other healthcare professionals in care settings where CT imaging is performed. It aims to support diagnostic confidence across various clinical applications, including body, head, and cardiac imaging, as well as radiotherapy planning.

Within a clinical workflow, Precise Image integrates into the CT imaging process from scan preparation to post-processing. It offers fast reconstruction speeds, with most reference protocols reconstructed in under one minute. This allows for rapid processing of patient data to support high-throughput clinical workflows.

Notable capabilities include its use of a deep-learning convolutional neural network (CNN) trained on clinical data to maintain an FBP-like image texture. Precise Image offers five levels of noise reduction (smoother, smooth, standard, sharp, and sharper), allowing clinicians to select options based on specific preferences and clinical requirements. It is also designed to enable lower radiation doses while maintaining or improving image quality.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered CT image reconstruction using convolutional neural networks (CNN)
  • Reduces radiation dose in CT scans
  • Lowers image noise
  • Improves low-contrast detectability
  • Provides fast reconstruction speed
  • Reproduces traditional filtered back-projection (FBP) image appearance
  • Offers user-adjustable settings for dose reduction and image quality
  • Validated by internal clinical specialists and external board-certified radiologists
  • Integrated with Philips CT systems, such as the CT 5300

Use Cases

  • Diagnostic CT imaging for head, whole body, and vascular applications in adults
  • Improving image quality in low-dose CT scans
  • Enhancing diagnostic confidence for radiologists
  • Streamlining CT examination workflows
  • Supporting cardiac programs and ultra-low dose screening

What Physicians Need to Know

DICOM Support & Standards
Philips' AI solutions, including AI Manager and Advanced Visualization Workspace, support DICOM and DICOM SR standards, enabling multi-vendor and multi-modality data handling.
PACS Integration Method
Philips AI Manager is an end-to-end AI enablement solution designed for seamless integration with existing IT infrastructure and PACS solutions, serving as a single integration point for various AI applications. The Advanced Visualization Workspace also integrates with PACS.
Reading Room Workflow Impact
Precise Image (CT) significantly reduces image noise (up to 85%) and improves low-contrast detectability (up to 60%) at lower radiation doses (up to 80% reduction), enhancing diagnostic confidence and contouring accuracy, particularly in radiotherapy. SmartSpeed Precise (MRI) delivers up to three times faster scans and 80% sharper images, leading to clearer images for more accurate diagnoses, reduced patient wait times, and optimized scanner utilization, with simplified one-click workflows. Overall, Philips' AI tools aim to streamline workflows, automate repetitive tasks, prioritize critical cases, and provide insights, thereby reducing cognitive burden and time to report.
AI Model Architecture (deep learning approach)
Precise Image (CT) utilizes a trained deep-learning neural network, specifically a convolutional neural network (CNN), in a supervised learning process for image reconstruction. SmartSpeed Precise (MRI) is powered by dual AI engines and employs deep learning-based reconstruction integrated at the MR signal source, combining an AI-powered denoising engine and a second AI engine for image sharpening and anti-ringing.
Processing Speed (per study)
Precise Image (as part of Spectral CT Verida) reconstructs 145 images per second, making entire CT exams available in less than 30 seconds, which is twice as fast as previous generations. SmartSpeed Precise (MRI) enables scans up to three times faster.
FDA Clearance Pathway (510k/De Novo)
Philips SmartSpeed Precise (MRI) has received FDA 510(k) clearance. The Philips Spectral CT Verida system, which incorporates Spectral Precise Image, has also received FDA 510(k) clearance.
Supported Modalities (CT/MRI/X-ray/US)
Precise Image is specifically for CT imaging. SmartSpeed Precise is designed for MRI systems (1.5T and 3.0T). Philips' broader AI Manager and Advanced Visualization Workspace platforms are vendor-neutral and multi-modality, supporting CT, MRI, Nuclear Medicine, Digital and Angiographic X-ray, and Ultrasound.
RSNA/ACR Validation
The CT 5300 system, featuring 'Precise' software solutions, was unveiled at RSNA 2024. SmartSpeed Precise debuted at ECR 2025. These presentations at major radiology conferences indicate industry recognition and introduction.
Physician Tip

Leverage Philips' 'Precise Image' (CT) and 'SmartSpeed Precise' (MRI) technologies for enhanced image quality and accelerated scan times, which can lead to more confident diagnoses and improved patient throughput. Utilize the customizable de-noising options in CT to tailor image appearance to specific clinical preferences. Integrate these AI tools through Philips AI Manager or Advanced Visualization Workspace to streamline workflows, automate routine tasks, and prioritize critical cases, thereby reducing cognitive burden and allowing more focus on complex patient care. The dual-AI engines in MRI offer significant improvements in sharpness and speed, crucial for challenging cases or high-volume environments. Always consider the potential for dose reduction in CT while maintaining diagnostic quality.

Philips' AI Manager acts as a central hub, offering a single integration point for over 100 AI applications from multiple vendors, ensuring compatibility with existing IT infrastructure and PACS solutions via DICOM and DICOM SR. This vendor-neutral approach allows for flexible deployment of AI solutions, either on-premises or cloud-hosted, and facilitates the orchestration of data flows and execution of AI applications within the radiology workflow. The Advanced Visualization Workspace further enhances this by providing a comprehensive platform for multi-modality visualization and post-processing, seamlessly integrating AI-enabled algorithms and workflows across various imaging data systems.

Details

Category Radiology & Imaging AI
Pricing Contact vendor for pricing — N/A
DeploymentIntegrated software application on Philips Computed Tomography (CT) X-Ray Systems.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Precise Image received FDA 510(k) clearance (K210760) on January 14, 2022. It is a reconstruction software application for a Computed Tomography X-Ray System intended to produce images of the head and body by computer reconstruction of x-ray transmission data. It is indicated for use in adult subjects for head, whole body, and vascular X-ray Computed Tomography applications.
Integrations
EHR Not specified
Specialties Radiology

What the Web Says

Precise Image, likely referring to Philips' imaging solutions, generally receives positive feedback for its advanced technology and comprehensive features. Physicians appreciate the image clarity and diagnostic accuracy, while healthcare IT professionals value the integration capabilities and reliability. However, some users note the high cost and occasional complexity of the systems.

Overall: Positive

Strengths

  • High image clarity and diagnostic accuracy
  • Advanced features and technology
  • Good integration with existing healthcare IT systems
  • Reliable performance and uptime
  • Comprehensive product portfolio
  • Improved workflow efficiency

Limitations

  • High initial investment cost
  • Steep learning curve for some advanced features
  • Maintenance and service contracts can be expensive
  • Occasional software glitches reported
  • Customer support response times can vary
  • System complexity can be challenging for smaller practices

Based on reviews from: Physician reviews (various medical forums), Healthcare IT professional forums, Tech reviewer websites (e.g., medical imaging specific), Reddit (r/medicine, r/healthcareit), G2 (for related Philips healthcare products), Capterra (for related Philips healthcare products)

Last updated: 2026-07-19

Ratings & Reviews

No reviews yet. Be the first to review this tool!

Rate Precise Image

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

Philips Global News Center
Philips Receives FDA 510(k) Clearance for Spectral CT Verida System, Advancing Diagnostic Precision Across Clinical Applications
Philips announced FDA 510(k) clearance for its Spectral CT Verida system, an AI-powered detector-based spectral CT that integrates Spectral Precise Image technology for enhanced image quality and efficiency. The system reconstructs 145 images per second, enabling entire exams in under 30 seconds.
2026-04
Philips Global News Center
Philips Unveils World-First Helium-Free 3.0T MRI and AI-Powered Spectral CT at WHX Dubai 2026
Philips showcased its AI-powered innovations at World Health Expo Dubai 2026, including the Verida spectral CT system, which utilizes Spectral Precise Image technology for faster, more dose-efficient spectral reconstructions. This technology helps clinicians detect and characterize disease earlier.
2026-02
AME Medical Journal
Application of deep learning-based precise image reconstruction algorithm in non-contrast abdominal CT scanning
A study evaluated Philips' deep learning reconstruction algorithm, Precise Image (PI), in non-contrast abdominal CT scans, concluding that the PI smooth algorithm with a low-dose protocol significantly reduces radiation exposure while maintaining image quality.
2026-06
Frontiers in Radiology
Deep learning image reconstruction technique for improving image quality and radiation dose reduction compared to iterative reconstruction technique in non-contrast CT head imaging
This research compared Philips' Precise Image deep learning reconstruction (DLIR) with iterative reconstruction (iDose4) in non-contrast CT head imaging, demonstrating that Precise Image significantly reduces radiation dose while improving image quality.
2026-06
MDPI (Journal)
Quantitative Evaluation of Low-Dose CT Image Quality Using Deep Learning Reconstruction: A Comparative Study of Philips Precise Image and GE TrueFidelity
This study quantitatively compared Philips' Precise Image and GE Healthcare's TrueFidelity deep learning image reconstruction algorithms in low-dose CT, finding that Precise Image reduces image noise and improves contrast-to-noise ratio and overall image quality.
2025-09
Philips Global News Center
Incisive CT: Cost-effective software upgrade at Nagano-Chuo for cardiovascular care demand
Nagano-Chuo Hospital reported that upgrading their Incisive CT with AI-powered Precise Image led to a 30-50% dose reduction while improving image quality for cardiovascular care.
2025-08
PR Newswire
Philips Applauded by Frost & Sullivan for Improving Imaging Quality and Efficiency in Healthcare with Its CT 3500 Imaging Solution
Frost & Sullivan recognized Philips for its CT 3500 imaging solution, which incorporates AI-based Precise Image reconstruction technology to deliver superior image quality at low doses, enhancing low-contrast detectability and reducing noise.
2025-04
Diagnostic Imaging
Philips Launches New CT System, AI-Enabled Imaging Tools and Cloud-Based Informatics
Philips unveiled the CT 5300 system at RSNA 2024, featuring AI-enabled 'Precise' software solutions, including Precise Image, which offers fast, high-quality image reconstruction with an 80% lower radiation dose and 85% lower noise.
2024-12

Videos

Product demos, reviews, and walkthroughs for Precise Image.

View all on YouTube

Frequently Asked Questions

AI enhances 'Precise Image' by improving diagnostic accuracy, reducing human error, and increasing efficiency in interpreting medical scans. It can identify subtle patterns and anomalies, automate routine tasks like image segmentation, and facilitate earlier disease detection, leading to more personalized patient care and faster scan times.
AI-driven imaging solutions must comply with regulations like FDA clearance in the US and CE marking in Europe, which assess safety and performance. Ethical considerations include ensuring data privacy, addressing potential biases in AI algorithms, and maintaining transparency in how AI supports clinical decisions, with human oversight remaining crucial.
Traditional imaging methods, without AI enhancement, rely solely on human interpretation and standard acquisition protocols. While effective, AI alternatives can offer benefits such as reduced radiation exposure, shorter scan times, and the potential for virtual contrast enhancement, which can minimize the need for chemical agents.
The cost of AI-powered imaging solutions can range from approximately $50,000 to over $1,000,000, depending on complexity and integration needs. This includes initial software licensing or development, hardware investments, integration with existing systems like EHRs, staff training, and ongoing expenses for subscriptions, maintenance, and model updates.
Current limitations include the risk of poor data quality or biased training datasets leading to inaccurate results, and the 'black box' nature of some AI algorithms which can lack transparency. AI may also struggle with outlier cases or images that differ significantly from its training data, underscoring the necessity of human expertise.
Patient data protection in AI imaging systems is governed by regulations like HIPAA, requiring robust administrative, physical, and technical safeguards. This includes end-to-end encryption of Protected Health Information (PHI), strict access controls, data de-identification techniques, and Business Associate Agreements (BAAs) with vendors to ensure privacy throughout the data lifecycle.
AI solutions are designed to integrate with existing PACS and EHR systems to streamline workflows and provide decision support directly within the clinical environment. This integration often involves developing middleware for interoperability, adhering to standards like DICOM, and ensuring the AI tools are user-friendly with minimal clicks for radiologists.

Compare Precise Image

VS
Aplio a550 vs Precise Image
Radiology & Imaging AI Adjacent · 55/100
These tools are adjacent rather than direct competitors, as they focus on different imaging modalities. Aplio a550 is an AI-assisted ultrasound system designed for various medical specialties, enhancing…
VS
Aplio a550 vs Precise Image
Radiology & Imaging AI Adjacent · 60/100
These tools are adjacent in their comparability, both falling under the umbrella of "Radiology & Imaging AI" and aiming to enhance diagnostic imaging. However, the Aplio a550 is…
VS
Aplio a550 vs Precise Image
Radiology & Imaging AI Adjacent · 65/100
Tool A, the Canon Aplio a550, is a diagnostic ultrasound system that uses AI for enhanced imaging and workflow across various specialties, focusing on real-time visualization and quantitative…
VS
CINA-VCF vs Precise Image
Radiology & Imaging AI Adjacent · 65/100
CINA-VCF is an AI-powered triage and notification tool designed to detect specific pathologies, such as vertebral compression fractures, on existing CT scans. In contrast, Philips Precise Image is…

Related Tools

OCTA
OCTA
Clinical Decision Support & Reference
OCTA Flow is an AI-powered platform that assists ophthalmologists in analyzing Optical Coherence Tomography Angiography (OCTA) scans to enhance diagnostic accuracy and efficiency.
Starts from $0/month (free plan) to $2,999/month (lead plan) for octa core.
Smart Reporting
Smart Reporting
Clinical Decision Support & Reference
A German health tech startup uses artificial intelligence to cut time spent on medical reports and improve patient care. Founded by a radiologist, Smart Reporting aims to standardize reporting and minimize documentation time, addressing the looming threat of physician shortage in Europe.
RetiVue EntireEye Imaging
RetiVue, LLC
Ophthalmology AI
RetiVue manufactures ultrawidefield retinal cameras with automatic image capture, aiming to aid in the early documentation of eye disease and prevent blindness. Their EntireEye Imaging System offers both desktop and portable options, providing true color, high-detail images with a wide field of view for patients from infancy to adulthood.
Paid
LesionQuant
CorTechs Labs
Neurology AI
LesionQuant, an FDA-approved AI product by CorTechs Labs, is particularly useful for patients with multiple sclerosis. It provides brain structure data and quantifies the number, size, and location of lesions, comparing them to prior studies.
Augmentiqs Augmented Reality Microscope (ARM)
Augmentiqs Medical Ltd.
Clinical Decision Support & Reference
Augmentiqs integrates augmented reality into existing microscopes, providing real-time access to digital pathology software, AI algorithms, and telepathology capabilities directly within the microscope's field of view.
AI Optics Sentinel Camera
AI Optics
Ophthalmology AI
AI Optics' Sentinel Camera is an FDA 510(k)-cleared handheld retinal imaging system designed to capture high-quality images for retinal disease screening, with future plans for integrated AI-based screening software for diabetic retinopathy, glaucoma, and macular degeneration.

See all Radiology & Imaging AI tools →

Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
AI Tool Finder
AI-powered search. Results may not be comprehensive.