dismiss

Clean Sweep Live Auction on Wed. May 1st. Click to view the full inventory

DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Pediatrics
SEARCH
Aktueller Standort:
>
> This Story


Log in oder Register to rate this News Story
Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

Artificial Intelligence Homepage

Aidoc announces $27 million in VC funding to advance AI in imaging Brings company's total funding to $40 million

New study questions patient understanding on AI in radiology Asserts that greater education and communication is required

Fredrik Palm ContextVision appoints new CEO

New AI software identifies make and model of cardiac implants in seconds Speed up diagnosis and delivery of treatment for patients with faulty devices

Dicom Systems scores enterprise imaging contract with Radiology Partners Will integrate IT and clinical workflows of more than 850 provider facilities

Apple study suggests wearable technology may be useful in detecting atrial fibrillation May assist in stroke and hospitalization prevention

Nvidia unveils Clara AI platform at GPU Technology Conference Equipped with 13 state-of-the-art classification and segmentation algorithms

BSWH to install Glassbeam's CLEAN blueprint to leverage machine uptime Will include integrated CMMS software by EQ2

Beyond the hype: How practical AI is enhancing radiology Insights from Imad B. Nijim, chief information officer for MEDNAX Radiology Solutions

Machine learning reduces false positives for lung cancer in low-dose CT False positives occur at rate of 96 percent

ACR engages in collaborations for AI development with launch of AI-LAB platform

by John R. Fischer , Staff Reporter
The American College of Radiology has struck up a number of collaborations following the launch of its Data Science Institute ACR AI-LAB platform, a software program that enables radiologists of all levels to develop, validate and use artificial intelligence tools within their own facilities for their local clinical needs.

Among its collaborators are Nvidia, GE and Nuance, all of which plan to integrate their own solutions with the vendor-neutral platform to help accelerate the process for creating algorithms and expand the reach of ACR AI-LAB to a greater number of providers.

Story Continues Below Advertisement

Servicing GE Nuclear Medicine equipment with OEM trained engineers

We offer full service contracts, PM contracts, rapid response, time and material,camera relocation. Nuclear medicine equipment service provider since 1975. Click or call now for more information 800 96 NUMED



“Right now, AI for radiology is being driven by research that is happening primarily at institutions with extensive informatics and data science resources, and primarily using single institution patient data. Most radiologists – who do not have the data science training to master AI programming – are unable to participate,” Bibb Allen Jr., M.D., FACR, ACR DSI chief medical officer, told HCB News. “ACR AI-LAB is designed for radiologists with minimal programming experience to use their domain expertise to develop AI tools to improve the care they provide their patients.”

A free, open-source software platform, ACR AI-LAB will be accessible among more than 38,000 ACR members and other radiology professionals to build, share, locally adapt and validate AI algorithms, while preserving the protection of patient data at local institutions.

A part of its NVIDIA Clara Developer platform, the NVIDIA Clara AI toolkit is one such solution that will be integrated with the AI-LAB, providing libraries for data annotation, model training, adaptation and federation, and large-scale deployment. Its pairing with the software follows a three-month pilot program that helped both ACR and NVIDIA determine the requirements and direction that would enable facilities to work together and with other industry stakeholders to refine AI algorithms without sharing potentially sensitive patient data.

Another integrated technology is GE Healthcare’s Edison AI platform, which is powered by the NVIDIA Clara and allows its users to trace data as they develop an algorithm, an asset which could help ACR members simplify their creation of compliant AI applications. It also enables radiologists to combine multiparametric data sets and clinical information from the EHR to form more accurate algorithms. By integrating with the ACR AI-LAB, the solution will allow hospital executives to add continuous value to their installed medical devices with smart workflows, and developers to combine data from different modalities, vendors and care settings to simplify transitions from AI research to productive AI usage.
  Pages: 1 - 2 >>

Artificial Intelligence Homepage


You Must Be Logged In To Post A Comment

Werben
Erhöhen Sie Ihren Bekanntheitsgrad
Auktionen + Privatverkäufe
Den besten Preis erzielen
Geräte/Geräteteile kaufen
Den günstigsten Preis finden
Daily News
Die neuesten Nachrichten lesen
Übersicht
Alle DOTmed Benutzer durchsuchen
Ethik auf DOTmed
Unseren Ethik-Standard anzeigen
Gold-Parts Verkäufer-Programm
PH-Anfragen erhalten
Gold Service Dealer-Programm
Anfragen empfangen
Gesundheitsdienstleister
Alle Gesundheitsdienstleister-Tools anzeigen
Jobs/Training
Einen Job suchen
Parts Hunter +EasyPay
Angebote für Geräteteile erhalten
Kürzlich zertifiziert
Kürzlich zertifizierte Benutzer anzeigen
Kürzlich bewertet
Kürzlich zertifizierte Benutzer anzeigen
Rental Central
Geräte billiger mieten
Geräte/Geräteteile verkaufen
Das meiste Geld erhalten
Service-Techniker Forum
Hilfe und Beratung finden
Einfache Angebots-Anfrage
Angebote für Geräte erhalten
Virtuelle Messe
Service für Geräte finden
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to DOTmed.com, Inc. Copyright ©2001-2019 DOTmed.com, Inc.
ALL RIGHTS RESERVED