Qure.ai App User's Manual

Qure.ai App is an on-cloud image viewing software.

Introduction

Qure.ai aims to make healthcare affordable and accessible throughout the world through its Artificial Intelligence (AI) solutions for Medical Imaging and Care Coordination.­­

Over the last 6 years, Qure.ai innovations have spread across 60 countries processing 4 million scans annually from 870+ sites. Qure.ai solutions are FDA-approved and CE-Marked. There are more than 40 publications in some highly impactful journals, such as The Lancet, Nature, The Lancet Digital Heath, and Plos One.

Qure.ai is a breakthrough AI solution provider disrupting the radiology 'status quo' by enhancing imaging accuracy and improving health outcomes with machine-supported tools. Qure.ai taps deep learning technology to provide automated interpretation of radiology exams like X-rays, Computed Radiography (CR), Computed Tomography (CT), and Ultrasound scans for time and resource-strapped medical imaging professionals enabling faster diagnosis and speed to treatment.

Purpose

The purpose of this document is to guide the Qure.ai app users with the installation, usage of the features, and configuration between the app and the medical systems (Picture Archive and Communication System (PACS)/Modality).

What is Qure.ai App?

Qure.ai app is an on-cloud image viewing software that supports multi-modality (CTs & X-rays) imaging on mobile and desktop devices. It reduces turnaround time by utilizing Qure’s AI-powered imaging solutions like qXR, qER, and other Qure.ai products. It promises better patient outcomes by enabling early intervention and streamlining existing patient-care workflows.

qXR aids in the detection of multiple abnormal findings on a chest X-ray in less than 1 minute. It detects abnormalities in the lungs, pleura, mediastinum, bones, diaphragm, and heart. The AI interpretation from qXR can prioritize workflow and get pre-read assistance with contoured marking in lung and pleural abnormalities, thus reducing the radiology workload.

qER aids in screening head CT scans for intracranial hemorrhage, cranial fractures, midline shift, mass effect, infarcts, and atrophy to prioritize them for clinical review. It alerts the neuro-critical care team about 11 non-contrast head CT (Non-contrast Computerized Tomography (NCCT)) findings, enabling faster decision-making for timely care.

The software provides a priority flag indicating critical scans, an overlay highlighting the location and measurements of corresponding abnormal findings in the scan, and a pdf/text/structured report quantifying the volume and extent of the abnormalities.

Qure.ai App Workflow

The following diagram demonstrates the Qure.ai app workflow.

The Qure.ai app receives Dicom study via Dicom network protocol from medical systems (PACS/Modality) or the Dicom can be imported from the local system. The received Dicom study will be processed into Qure's cloud server and displays the AI-processed reports on the app. Hence, the AI-processed reports can be read, viewed, and manipulated on the app and shared with other radiologists, consultants, and doctors.

Acronyms and/or definitions

Acronyms	Definations
AET	Application Entity Title
AI	Artificial Intelligence
CR	Computed Radiography
CT	Computed Tomography
DCMIO	Dicom Input/Output
DICOM	Digital Imaging and Communications in Medicine
DVTK	Dicom Validation Toolkit
IP	Internet Protocol
NCCT	Non-contrast Computerized Tomography
OS	Operating System
PACS	Picture Archive and Communication System
qER	AI for Head CTs
qXR	AI for Chest X-rays
SCP	Service Class Provider
SCU	Service Class User