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Infinitt PACS 7.0

Infinitt Healthcare Co.,Ltd. • Radiology • 10/27/2017

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

Infinitt PACS 7.0 is a web-based software system designed to manage DICOM medical images through acquisition, storage, communication, processing, and display, intended for use by trained medical professionals for radiological review. It leverages DICOM standards, 3D visualization, advanced workflow tools, and JPEG 2000 compression on a Windows platform to provide efficient and remote access to diagnostic images, including specialized mammography viewing capabilities.

Summary

Infinitt PACS 7.0 is a sophisticated software device designed for the comprehensive management of medical images. Its core function is to act as a Picture Archiving and Communications System (PACS), enabling the acquisition, storage, communication, processing, and display of DICOM 3.x medical images sourced from various imaging modalities. The system is web-based and 3D-enabled, allowing trained professionals such as physicians, radiologists, and medical technicians to view, handle, review, modify, and approve studies, even from remote locations. While it offers advanced viewing tools, including hanging protocols, 3D displays like Multi-Planar Reformatting (MPR), Volume Rendering, Maximum Intensity Projection (MIP), and fusion, the software itself does not provide diagnostic assistance; all interpretations and treatment decisions are made by qualified clinicians. Technologically, Infinitt PACS 7.0 operates on Windows 7/8.1/10 and builds upon the foundation of a predicate PACS system, offering similar core functionalities with expanded capabilities and updated operating system compatibility. It is an integral part of INFINITT's larger PACS/RIS solution, fully supporting DICOM standards and utilizing JPEG 2000 compression for efficient image transfer. Key advancements include enhanced worklist functionalities, a "Visual Timeline" for accessing historical patient data, sophisticated hanging protocols, and specialized mammography display tools which require specific monitor specifications for primary diagnosis and have restrictions on the use of lossy compressed or digitized film images. The system incorporates cybersecurity features such as secured network protocols, auto logoff, audit logging, and role-based access. Testing has demonstrated its performance in line with specified functional requirements without errors impacting its intended use for image review and management.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

PACSDICOMMedical ImagingRadiology SoftwareImage Archiving3D VisualizationWorkflow ManagementMammography ImagingRemote AccessCybersecurity

Device Metadata

Submission Number
K172803
Company
Infinitt Healthcare Co.,Ltd.
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the "Visual Timeline" feature specifically enhance diagnostic efficiency or error reduction compared to traditional PACS interfaces, and what is the learning curve for users to fully utilize its capabilities?; What are the specific image processing algorithms used for the 3D display functions (MPR, Volume Rendering, MIP, fusion), and how do they ensure diagnostic accuracy without introducing artifacts, particularly in complex volumetric datasets?; Regarding the mammography indication, what are the detailed technical specifications for monitors required for primary image interpretation, and how does the system guide or verify compliance with these display standards?; What are the performance metrics (e.g., image load times for various study sizes, 3D rendering speeds, data transfer rates) of Infinitt PACS 7.0 when handling large multi-modality studies, especially over varying network bandwidths common in distributed healthcare environments?; How does the system's architecture support scalability for growing data volumes and increasing user loads, and what are the typical maintenance requirements and upgrade procedures to ensure continuous and reliable operation in a clinical setting?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score35/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment✓ Detected in Summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm, dataset)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(remote, network, platform)
✓ Detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials(environment)
✓ Detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM, SaaSBOM, OBOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.

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Infinitt PACS 7.0 - Infinitt Healthcare Co.,Ltd. | ESL FDA AI Device Intelligence