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




ACR and MICCAI to Develop AI Algorithms for Clinical Radiology

By MedImaging International staff writers
Posted on 21 May 2018
Print article
The American College of Radiology [Reston, VA, USA; (ACR)] and the Medical Image Computing and Computer Assisted Intervention [Rochester, MN, USA; (MICCAI)] Society are working together to develop artificial intelligence (AI) algorithms to better meet the clinical needs of radiologists. The ACR is actively creating use cases for imaging AI and will work with MICCAI to leverage this knowledge base in MICCAI’s imaging AI competitions. The ACR Data Science Institute (ACR DSI) is actively working on technically-oriented use cases (TOUCH-AI) which will help algorithm vendors identify and target areas that have the greatest clinical impact, as well as strategies to ensure appropriate validation pre-deployment (CERTIFY-AI) and ongoing monitoring while in the clinical setting (ASSESS-AI).

The ACR represents more than 38,000 diagnostic radiologists, radiation oncologists, interventional radiologists, nuclear medicine physicians and medical physicists. Its core functional areas — advocacy, economics, education, quality and safety, research, and membership value — are improving, promoting and protecting the practice of radiology. The MICCAI Society is an important forum for medical image computing, computer-assisted intervention, and medical robotics. The multidisciplinary nature of these emerging fields brings together clinicians, bioscientists, computer scientists, engineers, physicists, and other researchers who are contributing to, and need to keep abreast of, advances in the methodology and applications.

“The ACR brings a strong clinical perspective, decades of experience creating imaging standards, and a history of promoting imaging informatics solutions, such as DICOM, that help the imaging technology landscape evolve and thrive,” said Mike Tilkin, Chief Information Officer and Executive Vice President, ACR. “Although it’s still early, we believe AI algorithms will be useful in a variety of areas throughout the imaging life-cycle and will help radiologists be more efficient and provide better patient care. Radiology has played a leading role in the application of advanced technology in medicine, and we believe AI represents another important area of innovation and opportunity.”

“Working together, our organizations can help promote learning in a scientifically-rigorous manner, target solutions that have the greatest clinical impact, and promote standards that encourage a useful clinical workflow,” said Bibb Allen Jr., MD, FACR, and Chief Medical Officer, ACR DSI.

Related Links:
American College of Radiology
Medical Image Computing and Computer Assisted Intervention

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers
Advanced Cardiac MRI Analysis Software
3Di Cardiac MR
New
Oncology Information System
RayCare

Print article

Channels

Ultrasound

view channel
Image: Structure of the proposed transparent ultrasound transducer and its optical transmittance (Photo courtesy of POSTECH)

Ultrasensitive Broadband Transparent Ultrasound Transducer Enhances Medical Diagnosis

The ultrasound-photoacoustic dual-modal imaging system combines molecular imaging contrast with ultrasound imaging. It can display molecular and structural details inside the body in real time without... Read more

Nuclear Medicine

view channel
Image: PET/CT of a 60-year-old male patient with clinical suspicion of lung cancer (Photo courtesy of EJNMMI Physics)

Early 30-Minute Dynamic FDG-PET Acquisition Could Halve Lung Scan Times

F-18 FDG-PET scans are a way to look inside the body using a special dye, and these scans can be either static or dynamic. Static scans happen 60 minutes after the dye is administered into the body, showing... 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.