News | Artificial Intelligence | December 16, 2019

MaxQ AI Selects Flywheel for Machine Learning Capabilities

The company has selected Flywheel to support data management and curation and gain efficiencies in their machine learning workflow

The company has selected Flywheel to support data management and curation and gain efficiencies in their machine learning workflow

December 16, 2019 — MaxQ AI, a company focused on developing artificial intelligence (AI) applications to enable doctors to reach faster, more accurate decisions when diagnosing stroke, traumatic brain injury, and other life-threatening conditions, has selected Flywheel to support data management and curation and gain efficiencies in their machine learning workflow.

“We selected Flywheel for our machine learning data management due to their unique strengths in medical imaging and research workflows,” said Tom Neufelder, chief technology officer of MaxQ. “With Flywheel we can streamline capture, quality control, and curation of data from our research institution partners enabling us to focus on innovation and development of high-value solutions for our customers.” 

Leading research institutions and AI developers are turning to Flywheel for imaging research data management and machine learning applications. Flywheel has recently introduced a number of features aimed at improving machine learning workflows:

Image Annotation Workflows to support labeling of specific image features including support for blind multi-reader studies.

Advanced Multimodal Search to streamline the process of finding data to support ML training, including the ability to search image annotations.  

ML Training Sets to simplify training workflows and related documentation to support reproducibility and FDA approvals. 

For more information: www.maxq.ai 

Related Content

Qure.ai, a leading healthcare AI startup
News | Artificial Intelligence | February 27, 2020
February 27, 2020 — Qure.ai, a leading healthcare AI startup has ann
Sponsored Content | Videos | Artificial Intelligence | February 21, 2020
In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial intel
Sponsored Content | Videos | Enterprise Imaging | February 21, 2020
In Enterprise Imaging at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overvie
An example of the MRI scans showing long-term and short-term survival indications. #MRI

An example of the MRI scans showing long-term and short-term survival indications. Image courtesy of Case Western Reserve University

News | Magnetic Resonance Imaging (MRI) | February 21, 2020
February 21, 2020 — ...
Altamont’s zero-footprint solution, CaptureWare, allows Mach7’s Enterprise Imaging Platform (EIP) to ingest more DICOM and/or non-DICOM data from various sources in a facility
News | PACS | February 20, 2020
February 20, 2020 — Mach7 announced its partnership with Altamont
Chest CT imaging of patient. #coronavirus #nCoV2019 #2019nCoV #COVID19

Examples of typical chest CT findings compatible with COVID-19 pneumonia in patients with epidemiological and clinical presentation suspicious for COVID-19 infection. This image is part of the original research, Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR, published Feb. 19, 2020, in Radiology Online.

News | Computed Tomography (CT) | February 19, 2020
February 19, 2020 — In new research
Sponsored Content | Videos | Enterprise Imaging | February 19, 2020
Bill Lacy, vice president, Medical Informatics at FUJIFILM Medic...
Sponsored Content | Videos | Flat Panel Displays | February 19, 2020
EIZO medical monitors were showcased recently at RSN...
Recognized as the “Pulitzer Prize of the business press,” the Jesse H. Neal Award finalists are selected for exhibiting journalistic enterprise, service to the industry and editorial craftsmanship
News | Radiology Business | February 19, 2020
February 19, 2020 — Connectiv, a division of The Software and Information Industry Association (SIIA), has announced