Technology | Computer-Aided Detection Software | May 21, 2019

MaxQ AI Launches Accipio Ax Slice-Level Intracranial Hemorrhage Detection

Artificial intelligence solution includes the SliceMap and slice-level preview to facilitate rapid intracranial hemorrhage detection and efficient clinical workflow

MaxQ AI Launches Accipio Ax Slice-Level Intracranial Hemorrhage Detection

May 21, 2019 – Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that Accipio Ax will begin shipping in August and will be available as the second part of the Accipio ICH Platform. Accipio Ax will provide new tools to support clinical assessment of intracranial hemorrhage (ICH). Radiology departments, emergency room and neuroradiology teams across the U.S. and the EU will soon be able to access a comprehensive solution for ICH triage through workflow prioritization and slice-level preview. Accipio Ax includes the exclusive Accipio Ax SliceMap, an integrated view which guides clinicians rapidly to computed tomography (CT) slices with suspected ICH without leaving their picture archiving and communication system (PACS) viewer.

With regulatory approvals and a U.S. Food and Drug Administration (FDA) Breakthrough Device designation for Accipio Dx – MaxQ AI’s Accipio suite of software is a fully-automated solution integrated by major original equipment manufacturer (OEM) CT, PACS and AI ecosystem partners. With the potential for improving detection and workflow for suspected ICH, these solutions enable faster and more accurate treatment of patients.   

“Each month Accipio Ix processes nearly 1,000 head CT scans, including upwards of 30 stroke cases per week, at Capital Health,” said Ajay Choudhri, M.D., chairman of the Department of Radiology at Capital Health Hospitals in New Jersey. “With Accipio Ax, we can now benefit from a comprehensive solution for triage through workflow prioritization and slice-level preview of ICH, including the exclusive Accipio Ax SliceMap, which guides users rapidly to CT images with suspected ICH.”

With less money than ever before and a shortage of healthcare providers attempting to serve a growing number of patients, medical diagnostic AI solutions have the potential to fill a critical void within the healthcare system. It is projected that there will be 3.4 million stroke victims by 2030, which will cause loss or extreme hardships for patients and their families, while generating $240 billion in total direct and indirect costs.1

The Accipio ICH Platform, the complete ICH solution for stroke and head trauma assessment, promises to help address this by greatly increasing intracranial hemorrhage (ICH) detection and reducing missed ICH through near real-time triage, annotation and diagnostic rule-out.

MaxQ AI is demonstrating the full suite of Accipio ICH Platform solutions during the 57th American Society of Neuroradiology (ASNR) Annual Meeting, May 18-23 in Boston.

For more information:


Related Content

MaxQ AI Receives FDA Clearance for Accipio Ix Intracranial Hemorrhage Platform

MaxQ AI's Accipio Software Integrated to GE's Smart Subscription Platform

VIDEO: How Artificial Intelligence Can Detect Brain Bleeds



1. Forecasting the future of stroke in the United States: a policy statement from the American Heart Association and American Stroke Association. Stroke. 2013 Aug;44(8):2361-75. doi: 10.1161/STR.0b013e31829734f2

Related Content

Owkin, a startup that deploys artificial intelligence (AI) and Federated Learning technologies to augment medical research and enable scientific discoveries, presented findings in Hepatocellular Carcinoma (HCC) with Cleveland Clinic at the 2021 European Society of Medical Oncology (ESMO) conference.

Illustration courtesy of Cleveland Clinic

News | Artificial Intelligence | September 24, 2021
September 24, 2021 — Owkin, a startup that deploys...
Paige Prostate, is the first artificial intelligence (AI)-based software designed to identify an area of interest on the prostate biopsy image with the highest likelihood of harboring cancer so it can be reviewed further by the pathologist if the area of concern has not been identified on initial review.
News | Digital Pathology | September 22, 2021
September 22, 2021 — The U.S.
This study shows that thanks to deep learning analysis applied to digitized pathology slides, artificial intelligence can classify patients with localized breast cancer between high risk and low risk of metastatic relapse in the next five years.

Getty Images

News | Artificial Intelligence | September 22, 2021
September 22, 2021 — The RACE AI study conducted by Gustave...
HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed research recently published in the journal Cancers has demonstrated the ability of its radiomics technology to identify biomarkers that predict whether patients with lung adenocarcinoma would benefit from immunotherapy.

Semi-automatic lesion identification: (A) Manual ROI indication. In blue, it is possible to observe the axes that cross the lesion manually delineated by the radiologist on a plane of the MPR. The intensity of the lesion boundary (estimated) is represented with a red outline. (B) Additional axes can be dragged onto other orthogonal MPR views. From left to right, it is possible to observe the initial long axis outlined by the radiologist and the 2D contours on the axial, coronal and sagittal views of the lesion used as a starting point for the RPM algorithms. (C) Resulting 3D contour of the lesion (in blue).

News | Radiomics | September 21, 2021
September 21, 2021 —  HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed ...
News | Breast Imaging | September 20, 2021
September 20, 2021 — ImageCare Centers is unveiling its new “PINK Better Mammo” service with the addition of...
This is an example of 3-D ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

This is an example of TriVu ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

Feature | Breast Imaging | September 15, 2021 | By Jennifer Meade
While the Mammography Quality Standards Act (MQSA) and the introduction of EQUIP (Enhancing Quality Using the Inspection Program) have been successful in standardizing and enhancing mammographic imaging quality, inadequate breast positioning can dramatically impact the ability of radiologists and technicians to quickly and accurately detect breast cancer and potentially malignant lesions in their patients

Getty Images

Feature | Mammography | September 15, 2021 | By Christopher Austin, M.D. and Randy D. Hicks, M.D., MBA
Revised guidelines for lung cancer screening eligibility are perpetuating disparities for racial/ethnic minorities, according to a new study in Radiology.

Getty Images

News | Lung Imaging | September 15, 2021
September 15, 2021 — Revised guidelines for...
Revenues for teleradiology reading service providers are forecast to follow a similar profile over this period.

Outlook for 2021 and Beyond. As displayed in the figure below, these six market drivers are projected to result in teleradiology reading service volumes increasing by 21% in 2021 and nearly doubling by 2025. Revenues for teleradiology reading service providers are forecast to follow a similar profile over this period.

Feature | Teleradiology | September 15, 2021 | By Arun Gill
The closely tied relationship between...
To get more flexibility and cost savings from storage, healthcare organizations are increasing their investments in the cloud
Feature | Information Technology | September 15, 2021 | By Kumar Goswami
Healthcare organizations today are storing petabytes of medical imaging data — lab slides,...