We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




American College of Radiology Releases Initial Use Cases in AI Library

By MedImaging International staff writers
Posted on 03 Sep 2018
Print article
Image: The American College of Radiology Data Science Institute has started releasing its first AI use cases in the ACR DSI TOUCH-AI library for generating feedback (Photo courtesy of the ACR).
Image: The American College of Radiology Data Science Institute has started releasing its first AI use cases in the ACR DSI TOUCH-AI library for generating feedback (Photo courtesy of the ACR).
The American College of Radiology Data Science Institute {(ACR DSI) Reston, VA, USA} has started releasing its first artificial intelligence (AI) use cases in the ACR DSI TOUCH-AI library for generating feedback ahead of the projected release of all of the use cases in the fall.

The ACR DSI had launched medical imaging AI use case development in May 2017 to develop and use AI to assist radiologists in improving medical imaging care. According to ACR DSI, individual entities developing AI can find it difficult to solve healthcare problems in a comprehensive way that provides value to the clinical setting. After its release, the freely available use cases in the ACR DSI TOUCH-AI library will make the areas in which AI can improve patient care quite clear for vendors, clinicians and patients.

Apart from medical specialty societies and standards organizations, the ACR DSI has asked for feedback on the use cases from various AI, analytics, reporting systems, EMRs, and PACS organizations. It is also open to all organizations that are currently developing or supporting AI applications in radiology.

“As we are working to obtain and incorporate feedback into our preliminary use cases, we are seeing a groundswell of support for the information we are providing,” said Laura Coombs, ACR senior director of informatics. “This is an exciting stage of use case development because every bit of feedback, no matter how small, has the potential to profoundly affect both the industry and clinicians’ ability to create and deploy AI technology.”

Related Links:
American College of Radiology Data Science Institute

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Thyroid Shield
Standard Thyroid Shield
New
Wireless Handheld Ultrasound System
TE Air
New
Computed Tomography (CT) Scanner
Aquilion Serve SP

Print article

Channels

Radiography

view channel
:	Image: The AI model could be a valuable adjunct to human radiologists in breast cancer diagnoses and risk prediction (Photo courtesy of 123RF)

AI Model Predicts 5-Year Breast Cancer Risk from Mammograms

Approximately 13% of U.S. women, or one in every eight, are predicted to develop invasive breast cancer over their lifetime, with 1 in 39 women (3%) succumbing to the illness, according to the American... Read more

Nuclear Medicine

view channel
Image: The AI system uses scintigraphy imaging for early diagnosis of cardiac amyloidosis (Photo courtesy of 123RF)

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

General/Advanced Imaging

view channel
Image: The CIARTIC Move self-driving mobile C-arm has received FDA clearance (Photo courtesy of Siemens)

Self-Driving Mobile C-Arm Reduces Imaging Time during Surgery

Intraoperative imaging faces significant challenges due to staff shortages and the high demands placed on surgical teams in the operating room (OR). A common challenge during many OR procedures is the... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.