HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

American College of Radiology Releases Initial Use Cases in AI Library

By HospiMedica 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
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Soft-Tissues Biopsy Needle
MR-CLEAR

Print article

Channels

Critical Care

view channel
Image: The new risk assessment tool determines patient-specific risks of developing unfavorable outcomes with heart failure (Photo courtesy of 123RF)

Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients

Heart failure is a serious condition where the heart cannot pump sufficient blood to meet the body's needs, leading to symptoms like fatigue, weakness, and swelling in the legs and feet, and it can ultimately... Read more

Surgical Techniques

view channel
Image: The Nami S miniaturized ultrasonic scalpel enables faster and safer RAS (Photo courtesy of Nami Surgical)

Miniaturized Ultrasonic Scalpel Enables Faster and Safer Robotic-Assisted Surgery

Robot-assisted surgery (RAS) has gained significant popularity in recent years and is now extensively used across various surgical fields such as urology, gynecology, and cardiology. These surgeries, performed... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more