Philips - Health AI Register

Company Name	Philips
Founded	1891
Head office	Amsterdam, the Netherlands
Website	https://www.philips.nl/healthcare
Contact

AI platforms by Philips

Clinical domains covered: Cardiovascular, Radiology

Total AI Applications: Not specified

Source: Not specified

AI Manager

Philips

Philips AI Manager is an end-to-end AI enablement solution that integrates with your existing IT infrastructure and PACS solution. AI Manager enables radiologists to leverage a large set of AI applications offered through Philips for comprehensive assessment and deep clinical insights. AI Manager serves as a single integration for third-party AI applications, helping streamline AI deployment and workflow integration.* *Disclaimer: Philips AI Manager is not intended for data interpretation or diagnosis. Availability and functionality of the solutions and applications may vary per market. The functionalities and benefits of the solutions and applications may further depend on customer specific configuration and use. Please contact your local Philips representative for market availability. Philips acts as a reseller for the AI application portfolio.

Clinical domains covered: Not specified

Total AI Applications: Not specified

Source: Not specified

Advanced Visualization Workspace (AVW)

Philips

No description available

Clinical domains covered: Not specified

Total AI Applications: Not specified

Source: Public

AI Manager

Philips

Philips AI Manager is an AI enablement platform that integrates with existing IT infrastructure and PACS systems. It provides radiologists with access to AI applications within the radiology workflow and offers insight into how those applications are used.

Radiotherapy products by Philips

Workflow phase:

Modality: MR

Source: Public

MRCAT Prostate plus Auto-contouring

Philips

Autosegmentation, MR-only workflow, Synthetic CT Generation

As a plug-in clinical application to Ingenia MR-RT, MRCAT Prostate + AutoContouring provides density information for dose calculations and accurate MRbased contours in as little as 20 minutes – all in a repeatable ‘one-click’ workflow. Because MRCAT Prostate + Auto-Contouring requires input from MR images only, it reduces the organization and coordination of scans, eliminates the effort involved in MR-CT registration, and saves the patient from undergoing multiple procedures.

Workflow phase:

Modality: MR

Source: Public

MRCAT Brain

Philips

FDA

MR-only workflow, Synthetic CT Generation

MRCAT Brain clinical application allows the use of MRI as the primary imaging modality for radiotherapy planning of primary and metastatic tumors in the brain without the need for CT. Detailed anatomical information for contouring and attenuation maps for dose calculations are both obtained from a single, submillimeter resolution 3D T1W mDIXON MR sequence. Artificial Intelligence (AI) is used for fast computation of continuous Hounsfield units directly on the MR console.

Workflow phase:

Modality: MR

Source: Public

MRCAT Pelvis

Philips

FDA

MR-only workflow, Synthetic CT Generation

MRCAT Pelvis supports MRI-only radiation therapy planning. A single MR examination provides soft-tissue contrast for target and organ-at-risk (OAR) delineation and continuous Hounsfield units for dose calculations. MRCAT (MR for Calculating ATtenuation) data can be exported to treatment planning systems for CT-equivalent dose calculations. The MR-based images also support CBCT-based patient positioning using soft-tissue contrast and a CT-like image appearance.

Workflow phase:

Modality: MR

Source: Public

MRCAT Head & Neck

Philips

FDA

MR-only workflow, Synthetic CT Generation

MRCAT Head and Neck enables the use of MRI as a primary imaging modality for radiotherapy planning of patients with soft tissue tumors in the Head and Neck, without the need for CT. Powered by AI, MRCAT (MR for Calculating ATtenuation) images with CT-like density information are automatically generated from a single, high-resolution MR scan and can be used for CT-equivalent dose calculations and accurate patient positioning.