American College of Radiology Releases Initial Use Cases in AI Library
|
By MedImaging International staff writers Posted on 03 Sep 2018 |

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
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
Latest Industry News News
- GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
- Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read moreMRI
view channel
Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
Alzheimer’s disease, which accounts for 60% to 70% of dementia cases worldwide, remains difficult to predict early in its course. Accurate prognostication typically relies on neuropsychological testing,... Read more
AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
Cardiometabolic disease, driven by interactions between cardiovascular and metabolic systems, is a leading cause of morbidity and mortality. Risk assessment often relies on body mass index, which overlooks... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read more
New Proton Therapy Platform Integrates into Existing Radiotherapy Departments
Mevion Medical Systems (Littleton, MA, USA) has introduced the MEVION S250-FIT Proton Therapy System to the European radiation oncology community at ESTRO 2026, the first proton therapy platform designed... Read more
3D-Printed Intraoral Device Enhances Head and Neck Radiotherapy Accuracy
Ensuring consistent immobilization and soft-tissue positioning is central to safe, effective head and neck radiotherapy, where protection of organs at risk must be balanced with dose accuracy.... Read more
Molecular Imaging Agent Shows Promise for Endometriosis Detection and Monitoring
Diagnosing endometriosis remains challenging, particularly for superficial peritoneal endometriosis, the most common subtype, which is often missed on conventional imaging and typically requires laparoscopic... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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







