Philips CT 3500

by Philips Healthcare (Suzhou) Co.  · Based in China → — AI-Powered CT System for High-Throughput Radiology and Screening
Interventional Radiology Radiology

Contact vendor for pricing details.
Regulatory Status Disclosed

Overview

The Philips CT 3500 is an AI-powered computed tomography (CT) system designed for diagnostic imaging and high-volume screening programs. [2, 3, 8] It is intended for use in radiology departments and can support various CT applications, including head, whole body, cardiac (Cardiac Calcium Scoring), and vascular imaging for patients of all ages. [8]

  • Workflow Integration: The CT 3500 incorporates Philips’ CT Smart Workflow, which utilizes AI to automate several steps in the scanning process. [2, 3, 5] This includes Precise Position, which uses a camera for automated patient orientation, aiming to improve positioning accuracy and reduce setup time. [1, 2, 3] Precise Planning automatically determines the scan area and appropriate Exam Card based on patient anatomy, contributing to faster exam preparation and inter-operator consistency. [2, 3, 5] For interventional procedures, Precise Intervention offers automated setup and guidance for tissue biopsies and other needle-based interventions. [2, 3, 5]
  • Notable Capabilities: The system features Precise Image AI-based reconstruction, which is designed to enhance image quality. [1, 2, 5] This technology aims to improve low-contrast detectability and reduce image noise. [1, 2, 5] The CT 3500 is also built with a vMRC tube and includes proactive monitoring sensors to support continuous operation and manage high patient volumes. [2, 5, 7] It is capable of continuous lung screening scanning for a significant number of patients within an eight-hour period without cooling time. [6]

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered CT Smart Workflow for automated scanning processes
  • Precise Position with camera-based patient orientation for improved accuracy and faster positioning
  • Precise Planning for automatic determination of scan area and Exam Card
  • Precise Intervention for automated setup and guidance in needle-based procedures
  • Precise Image AI-based reconstruction for up to 60% improved low-contrast detectability, 85% lower noise, and 80% lower radiation dose
  • High-throughput design for continuous imaging, supporting up to 240 lung screening patients in 8 hours
  • Durable vMRC X-ray tube for reliable performance
  • Internal and external proactive monitoring sensors for maximizing system uptime
  • 32/64-slice full body CT scanner capabilities
  • Fast image reconstruction, with all reference protocols reconstructed in under a minute

Use Cases

  • Routine radiology examinations
  • High-volume screening programs, including low dose CT lung cancer screening
  • Diagnostic imaging of the head, whole body, cardiac, and vascular systems
  • Interventional radiology procedures such as tissue biopsies and needle-based interventions
  • Oncology applications, including treatment preparation and radiation therapy planning
  • Cardiac Calcium Scoring

What Physicians Need to Know

DICOM Support & Standards
The Philips CT 3500 features DICOM Conformance Statement v5.0 (June 2021) and supports Network DICOM Service Classes (SOP) as both User (SCU) and Provider (SCP) for Verification, Print Management (Basic Color/Grayscale), and Query/Retrieve operations. [9, 18]
PACS Integration Method
The system can query and retrieve examinations from remote systems like PACS and accept requests to retrieve examinations into a remote system. It is compatible with Philips' integrated radiology image management PACS Diagnostic Workspace, utilizing both DICOM and non-DICOM data. [9, 20]
Reading Room Workflow Impact
AI-powered CT Smart Workflow automates scanning steps, including Precise Position (50% improved accuracy, up to 23% faster patient positioning) and Precise Planning (automatic scan area/Exam Card determination). Precise Intervention offers automated setup for needle-based procedures. AI-based image reconstruction (Precise Image) supports confident diagnoses, with all reference protocols reconstructed in under a minute. The system is designed for high-throughput, enabling continuous lung screening for up to 240 patients in 8 hours. [1, 3, 4, 5, 10, 11, 12]
AI Model Architecture (deep learning approach)
The CT 3500 incorporates AI with deep learning and a convolutional neural network to enhance image quality. Its Precise Image feature utilizes AI-based reconstruction. [2, 3, 4, 5, 10, 11]
Processing Speed (per study)
All reference protocols are reconstructed in under one minute, supporting busy radiology departments. [1, 2, 3, 10]
FDA Clearance Pathway (510k/De Novo)
The Philips CT 3500 received 510(k) clearance (K223311) from the U.S. Food and Drug Administration on December 22, 2022, demonstrating substantial equivalence to a predicate device. [14]
Supported Modalities (CT/MRI/X-ray/US)
The Philips CT 3500 is a 32/64-slice Computed Tomography (CT) X-ray System. It is indicated for head, whole body, cardiac (Cardiac Calcium Scoring), and vascular CT applications in patients of all ages, and for low-dose CT lung cancer screening. [10, 13, 14, 16]
Sensitivity & Specificity Data
AI-based Precise Image reconstruction achieves up to 60% improved low-contrast detectability, 85% lower noise, and up to 80% lower radiation dose. These metrics are based on in-house assessments and phantom studies. [1, 2, 3, 4, 5, 10, 11]
Physician Tip

Leverage the AI-powered CT Smart Workflow to significantly streamline patient positioning and exam planning, reducing variability and preparation time. Utilize Precise Image's deep learning reconstruction for improved diagnostic confidence, benefiting from enhanced low-contrast detectability, reduced noise, and lower radiation dose. The system's high-throughput design makes it ideal for busy departments and high-volume screening programs, particularly for lung cancer screening. For interventional procedures, the Precise Intervention tool offers automated guidance, potentially increasing efficiency and accuracy.

The Philips CT 3500 offers robust DICOM 3.0 compliance, ensuring seamless integration with existing PACS and RIS environments for image transfer, storage, and retrieval. Its ability to act as both a DICOM SCU and SCP facilitates flexible network configurations. For optimal workflow and data management, consider integration with Philips' own radiology image management PACS Diagnostic Workspace, which is designed to handle both DICOM and non-DICOM data for comprehensive patient management.

Details

Category Radiology & Imaging AI
Pricing Contact vendor for pricing details. — N/A
DeploymentTypically deployed in hospitals, imaging centers, and can be installed on mobile screening units.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The Philips CT 3500 received U.S. Food and Drug Administration (FDA) 510(k) clearance (K223311) on December 22, 2022. It is indicated for diagnostic imaging in radiology, interventional radiology, cardiology, and oncology, covering head, whole body, cardiac, and vascular CT applications in patients of all ages, and for low dose CT lung cancer screening.

Integrations
EHR Not specified
Specialties Interventional Radiology, Radiology

What the Web Says

The Philips CT 3500 is generally well-received for its balance of performance and cost-effectiveness, particularly appealing to facilities looking for advanced features without the premium price tag of higher-end models. Physicians appreciate its image quality and workflow, while some tech reviewers note its competitive position in the mid-range CT market.

Overall: Positive

Strengths

  • Good balance of performance and cost-effectiveness
  • High-quality image resolution for diagnostic accuracy
  • User-friendly interface and streamlined workflow
  • Reliable performance and uptime
  • Suitable for a wide range of clinical applications
  • Compact design for easier integration into existing spaces

Limitations

  • May lack some advanced features found in premium models
  • Initial setup and calibration can be time-consuming
  • Customer support response times can vary
  • Software updates may require significant downtime
  • Learning curve for new operators, despite user-friendliness
  • Limited customization options for specific niche applications

Based on reviews from: Philips Official Website, Healthcare IT News, Reddit (r/radiology, r/medicalphysics), G2, Capterra, AuntMinnie.com

Last updated: 2026-07-20

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Press & Coverage

Philips
Philips launches AI-powered CT system to accelerate routine radiology and high-volume screening programs
Royal Philips announced the launch of the Philips CT 3500, a new high-throughput CT system powered by AI, designed to meet the needs of routine radiology and high-volume screening programs. It features AI-powered CT Smart Workflow to automate scanning processes, improving positioning accuracy and reducing patient positioning time.
2023-05
Diagnostic Imaging
Philips Introduces AI-Enhanced CT System for High-Volume Radiology Screening Programs
Philips has launched the CT 3500, an AI-powered CT system with features like Precise Position for automated patient orientation, reducing positioning time by up to 23% and increasing accuracy by 50%. The system also offers AI-based image reconstruction via Precise Image, which can reduce noise by up to 85% and radiation dosing by 80%, while improving low-contrast detectability by 60%.
2023-05
G-MedTech
Philips Launches AI-powered CT 3500 System - News Center - G-MedTech
Royal Philips has launched the AI-powered CT 3500 system, aimed at routine radiology and high-volume screening programs. The system incorporates AI-powered CT Smart Workflow, including Precise Position for automated patient orientation, improving positioning accuracy by 50% and reducing positioning time by up to 23%.
2023-05
Medical Device Network
Philips introduces new AI-driven CT system - Medical Device Network
Philips has introduced the AI-powered CT 3500, a high-throughput computed tomography system designed for routine radiology and high-volume screening. It utilizes AI-driven CT Smart Workflow for automated scanning and Precise AI-based image reconstruction, leading to up to 80% lower radiation dose, 60% better low-contrast detectability, and 85% less noise.
2023-05
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 with the 2024 Asia-Pacific New Product Innovation Award for its CT 3500 imaging solution, highlighting its role in improving imaging quality and efficiency in healthcare. The CT 3500 employs AI-based Precise Image reconstruction technology, enhancing low-contrast detectability by up to 60%, reducing noise by 85%, and lowering radiation dose by 80%.
2025-04
AuntMinnie
Philips adds new AI-powered scanner to CT portfolio - AuntMinnie
Philips Healthcare has launched the AI-powered 32/64-slice CT 3500 scanner for routine radiology and high-volume screening programs. The system's Precise Image AI-based image reconstruction software achieves up to 60% improved low-contrast detectability, 85% lower noise, and an 80% lower radiation dose.
2023-05
ICE Magazine
Phillips CT 3500 - ICE Magazine
The Philips CT 3500 is a new high-throughput CT system designed for routine radiology and high-volume screening, featuring AI-powered CT Smart Workflow. It includes Precise Position, which uses a camera to automatically determine patient orientation, improving positioning accuracy by 50% and reducing positioning time by up to 23%.
2023-08
BfArM (German Federal Institute for Drugs and Medical Devices)
URGENT Field Safety Notice - Philips CT Systems - BfArM
Philips issued an Urgent Field Safety Notice regarding an issue with Incisive CT, CT 3500, and CT 5300 systems where screws of the tube heat exchanger on the rotating scanner may become loose after replacement, potentially causing detachment and contact with other components. This could lead to injury if a broken fragment is expelled.
2025-10

Videos

Product demos, reviews, and walkthroughs for Philips CT 3500.

View all on YouTube

Frequently Asked Questions

The Philips CT 3500 integrates AI through its CT Smart Workflow, automating various steps in the scanning process. Features like Precise Position use a camera for accurate patient orientation, while Precise Planning automatically determines scan areas and exam cards. Additionally, Precise Image, an AI-based reconstruction, significantly improves low-contrast detectability, reduces noise, and lowers radiation dose for confident diagnoses.
While specific regulatory approvals for the CT 3500's AI components are not explicitly detailed in all public releases, Philips generally seeks necessary clearances, such as FDA 510(k) for its AI-enabled CT systems, indicating adherence to safety and efficacy standards. The system's AI features are designed to align with definitions from bodies like the EU High-Level Expert Group.
A recall notice highlighted several potential issues, including unintentional gantry/couch movement, incorrect dose settings leading to noisy images, and patient orientation errors that could result in undiagnosable scans or necessitate rescans. Furthermore, the Precise Image AI-based reconstruction is currently not available for pediatric patients.
Major competitors in the CT market include GE, Siemens, and Canon (formerly Toshiba), all offering advanced CT systems with their own AI-driven features. These alternatives also focus on enhancing workflow, improving image quality, and optimizing dose management to meet the demands of high-volume radiology departments.
Specific pricing for the Philips CT 3500 is not publicly disclosed, but new CT scanners generally range from $80,000 to over $2 million, with intermediate-level systems typically falling between $100,000 and $250,000. Factors influencing the total cost include the slice count, inclusion of advanced software packages (e.g., cardiac suites), installation requirements, and ongoing service and maintenance contracts.

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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