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Platforms added to AI Central: Development Update for July 10, 2024

Platforms were unveiled on AI Central. Users can learn more about what AI products are compatible, along with their capabilities and technical specs. 
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Spotlight on AI Manufacturer Siemens Healthineers

We sat down with Peter Shen, Head of Digital and Automation – North America at Siemens Healthineers, to learn more about Siemens Healthineers' mission, products and their thoughts on transparency in medical imaging artificial intelligence.
 
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ACR Launches First Medical Practice Artificial Intelligence Quality Assurance Program

ARCH-AI can help radiology sites safely and effectively implement AI in daily practice.
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AI Central Market Updates for June 12, 2024

AI Central has been updated with 6 new products added to the directory. 
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AI Central Development Updates: May 30, 2024

A variety of improvements to AI Central product pages and the manufacturer portal have been released to improve user experience since our last update. 
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AI Central Market Updates for May 15, 2024

AI Central had a busy month with 6 new products added to the directory. 
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Spotlight on AI Manufacturer GE HealthCare

We sat down with Parminder Bhatia, Chief AI Officer at GE HealthCare, to learn more about GE HealthCare's mission, products and their thoughts on transparency in medical imaging artificial intelligence.
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AI Central Development Updates: May 1, 2024

A variety of improvements across AI Central have been released to improve user experience since our last update.
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Dr. Keith Dreyer and colleagues write opinion article in JACR on new executive order on AI

ACR DSI’s Chief Science Officer shared his opinion on the Biden Administration’s new Executive Order on the Safe, Secure and Trustworthy Development and Use of Artificial Intelligence, and its implications for the field of radiology.
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AI Central PRO, Transparent-AI and market updates for April 17, 2024

AI Central had a busy month with a new Transparent-AI product and 12 products added to the directory. 
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'Applied Radiology' Features Dr. Christoph Wald in Cyberattacks Article

ACR Informatics Commission Chair Dr. Christoph Wald told Applied Radiology that without regular security patches, vulnerabilities will persist, putting entire organizations at risk. 
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AI Central Development Updates: March 29, 2024

Multiple feature upgrades have been made to AI Central since our last update to improve user experience.
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AI Central, Transparent-AI and Market Updates for March 15, 2024

AI Central had a busy month with 13 new products and updates to eight existing products.
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Physics World Weekly Podcast Features ACR DSI Chief Medical Officer

Dr. Bibb Allen spoke to Physics World about the multi-society statement on the development and use of AI tools in radiology. 
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AI Central PRO, Transparent-AI and Market Updates in January 2024

AI Central had a busy month in January with development updates, adding a new imaging AI product to our Transparent-AI program and 11 new products to the directory. 
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DSI Leadership Publish Paper on 2022 ACR-RSNA AI Workshop

Participants predicted that establishing systems that boost safety, effectiveness, reliability and transparency in artificial intelligence (AI) will be the key to full adoption of AI in radiology.
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Multi-Society Research Paper Highlights Increasing Need to Monitor Medical Imaging AI

Authors from the ACR, CAR, ESR, RANZCR and RSNA argued that AI can fulfil its promise to advance patient well-being if all steps — from development to integration in healthcare — are rigorously evaluated.
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Participate in Discussion Considering the Next Generation of DICOM

A recent request for a work item to the DICOM Standards Committee triggered the question of whether or not it is time for a next generation of DICOM.
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New Transparent-AI Manufacturers and Products Added to AI Central in December 2023

A whopping eight new manufacturers have joined AI Central’s Transparent-AI program and eight newly cleared FDA products have been added to the market.
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ACR Data Science Institute updates AI Central to improve AI transparency and patient care

New updates to ACR DSI's AI Central empower practices to access more-transparent information about AI products and make better AI purchases.
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'The New York Times' features ACR DSI Chief Science Officer in article about AI in medicine

Dr. Keith Dreyer was interviewed for a New York Times article about artificial intelligence in medicine and the FDA’s role in regulating that technology. 
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ACR Director co-authors article about Photoacoustic Imaging in 'Spie'

Brian Bialecki, director of IT standards and interoperability at the ACR, wrote an article about the new imaging modality for Spie, the international society for optics and photonics. 
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Whiterabbit Collaborates with the ACR to Enable Democratized Access to Artificial Intelligence

Whiterabbit’s WRDensity is the first FDA-cleared AI-driven breast density product on ACR’s platform.
 
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ACR DSI Chief Science Officer featured in article about how humans are affected by bias in AI

Dr. Keith Dreyer was interviewed for an article about bias in AI and how the humans that use it may unconsciously absorb these biases.   
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ACR DSI Chief Medical Officer featured in 'Nature' article about AI revolution in medicine

Dr. Bibb Allen was interviewed for an article in Nature about the growing potential for artificial intelligence in the medical field. 
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New DSI and HPI study about the future of AI funding featured in multiple news outlets

A new Data Science Institute and Harvey L. Neiman Health Policy Institute study that estimates AI medical imaging products will increase five-fold by 2035 has generated a lot of buzz. 
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Eight New Products Added to AI Central in October 2023

A whopping eight newly cleared FDA products have been added to the market, including several designed for CT and MRI scans of the brain.
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AI medical imaging products estimated to increase five-fold by 2035

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Four new products added to AI Central in September 2023

AI Central is updated with four new products, including a few designed for CT and MRI scans of the brain.
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ACR DSI Chief Science Officer named to TIME 100 AI list

ACR DSI Chief Science Officer Keith Dreyer, DO, PhD, FACR, was named to the first-ever TIME 100 AI list, which highlights 100 leaders and innovators in the artificial intelligence field.
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11 new products added to AI Central in August 2023

AI Central is updated with 11 new products, including many designed for computed tomography (CT) scans.
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Informatics Commission Chair publishes response to JACR letter to the editor on safe and effective AI implementation

ACR Commission on Informatics Chair Christoph Wald, M.D., Ph.D., co-authored a letter to the editor in JACR about implementing safe and effective artificial intelligence in the real world. 
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ACR CIO publishes JACR article on role of organized radiology in AI

ACR CIO Mike Tilkin recently co-authored an article in JACR about ACR and SIIM’s ongoing collaboration to lead and educate their members on artificial intelligence. 
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Health Equity in Pediatric AI: New JACR White Paper Offers Solutions

Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients is intended to improve the understanding of relevant pediatric AI issues and offer solutions that address inadequacies in pediatric AI development.
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New modality added to DICOM Standard

The new imaging modality was added to the DICOM Standard, thanks in part to the collaboration of ACR members and staff. 
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Seven new products added to AI Central in July 2023

AI Central is updated with seven new products recently cleared by the Food and Drug Administration (FDA). 
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Meet Our 2023-2024 ACR Informatics Fellow, Dr. George Vilanilam

Learn more about our new Informatics Fellow George Vilanilam, M.D., a fourth-year radiology resident at the University of Arkansas for Medical Sciences. 
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DSI publishes study in JACR on real-world performance of FDA-cleared AI algorithms

A new study found that two widely used FDA-cleared clinical AI algorithms displayed decreased performance in real world settings compared to the manufacturers’ reported performance under certain circumstances encountered in local practice.
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Watch our Webinar: “Beyond Interpretation: Unleashing the Potential of Non-Interpretive AI in Radiology”

ACR DSI recently hosted a webinar featuring keynote speaker Woojin Kim, MD, and a panel of experts. 
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Seven New Products Added to AI Central in June 2023

AI Central is updated with nine new products recently cleared by the Food and Drug Administration (FDA). 
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ACR DSI Releases 2 New Non-Interpretive Reading Room Use Cases

ACR DSI recently released two new non-interpretive reading room use cases accessible for free on the DSI website.  
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ACR DSI Participates on Panel at AI Health Law and Policy Summit

ACR Vice President of Data Science and Informatics Laura Coombs recently spoke on a panel at the AI Health Law & Policy Summit held by Hogan Lovells in Washington, D.C.
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Nine New Products Added to AI Central in May 2023

AI Central is updated with new products based on user feedback.
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DSI Releases 3 New Non-Interpretive Patient Facing Use Cases

ACR DSI releases three new Non-Interpretive Patient Facing use cases, which the medical imaging artificial intelligence community can access on the DSI website.  
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New Products and Features Added to AI Central

AI Central is updated with new products and features based on user feedback.
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DSI Demonstrates Advances in AI at RSNA 2022

At RSNA 2022 the DSI demonstrated a number of projects it is advancing for its membership and the greater medical imaging field, including projects such as hybrid registries, distributed integrations across separate sites, and integrations with AI-LAB and commercial vendor offerings. 
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DSI Launches Image IntelliGently for Pediatric AI

The DSI’s Pediatric AI Work Group has launched the Image IntelliGently resource to help disseminate information and resource on how to ensure AI is safe and effective for pediatric patients.
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Data Cybersecurity Outreach at ACR Informatics Summit 2022 and ASRT

The ACR Cybersecurity working group continues its goal of improving radiologists and radiology professionals' awareness of cybersecurity threats. The group hosted a session at ACR Informatics Summit 2022 and a Webinar for ASRT in honor of National Radiologic Technologist Week.
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ACR and RSNA Host SERT AI Workshop

The ACR and RSNA hosted a workshop on Safe, Effective, Reliable, and Transparent AI needs on Nov. 3, 2022, at ACR headquarters in Reston, Virginia.
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More Than 200 FDA Cleared AI Medical Imaging Products Now Available

The DSI reports a significant increase in the number of FDA cleared AI medical imaging products available on the market. The number of cleared products has now grown to more than 200, demonstrating increased investment and growth in the field.
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Pew Research Meeting on AI in Healthcare Held

The DSI has served as subject matter experts for the Pew Research Center survey of the AI landscape over the past year, culminating in a two-day meeting at Pew Headquarters on AI in Health Care: Creating Policy Recommendations for Safe and Effective Use of AI. 
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2022 Imaging Informatics Summit Held

ACR hosted the annual Imaging Informatics Summit on October 22, 2022, in Washington, D.C.
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DSI Launches Improved AI-Central Resource to Navigate the Evolving AI Landscape in Radiology

ACR DSI launches new graphical version of AI Central to help the radiology community navigate the rapidly evolving AI space. The resource provides a list of all FDA-cleared algorithms and has received positive feedback from the community. 
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DSI Collaborates with Top Institutions to Host Federated Learning Challenge at MICCAI 2022

The DSI collaborated with Massachusetts General Brigham, University of Colorado, NVIDIA, and the National Institutes of Health National Cancer Institute to host a Federated Learning Challenge as part of MICCAI 2022. The winner of the challenge, with the best federated learning methodology, was presented at the MICCAI annual meeting.  
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Data Science Summit 2022 Held

The DSI, in conjunction with SIIM, hosted the annual Data Science Summit on June 8, 2022, in Orlando, Florida.
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COVID-19 Deep Learning Model Validated on ACR AI-LAB

An article in the April issue of the Journal of the American College of Radiology (JACR®) documents how AI-LAB™ was successfully used to test an external COVID-19 Chest Radiograph (CXR) Artificial Intelligence (AI) algorithm on local data by a clinical radiology department with no dedicated data science infrastructure. The experiment shows generalizability of the Pulmonary X-ray Severity (PXS) score model from one practice to another. More importantly, the authors explain how a modest investment of resources and effort can empower a real-world clinical department to participate in data science. This successful test demonstrates AI-LAB’s value for local testing and model validation
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Cybersecurity Workshop Held at ACR Annual Meeting

At ACR 2022, the Informatics Commission held a robust cybersecurity workshop with members, industry, and government.
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ACR Launches Cybersecurity Resource Hub

The Cybersecurity Resource Hub contains practical educational resources for radiologists and radiology professionals to understand and safeguard against cybersecurity attacks.
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DSI Musculoskeletal Panel Use Case Videos Highlight Applications for AI Tools

The concepts covered in the MSK videos are a starting point for software development teams to understand the clinical relevance of ACR DSI AI use cases. All videos in the series reference specific MSK use cases, include standard DICOM (Digital Imaging and Communications in Medicine) images and labels; a breakdown of how a proposed algorithm might solve an essential problem; and explain why these highly solvable problems offer immediate value.
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Podcast Highlights Work of ACR Data Science Institute

A recent SIIMcast podcast focusing on the American College of Radiology’s ® (ACR) Data Science Institute® (DSI) features data scientists Laura Brink and Kendall Schmidt, PhD and Chris Treml, Director of DSI.
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AI-LAB Federated Learning Is a Leap Forward for AI Development

Radiologists can now register their practices to take part in the next-generation American College of Radiology Data Science Institute® artificial intelligence (AI) federated learning program hosted on the AI-LAB™ platform.
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AI Interoperability in Imaging White Paper Will Support AI in Medical Imaging

The final white paper on AI Interoperability in Imaging was released by the Integrating the Healthcare Enterprise (IHE) Radiology Technical Committee on October 12. The paper sets the landscape for artificial intelligence (AI) interoperability and function and provides “recipes” for standards based workflow.
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ACR Shares AI-LAB Platform to Speed AI-Powered Eye Care

The American College of Radiology® Data Science Institute® (ACR DSI) and the American Academy of Ophthalmology have announced a collaboration that will expand ACR DSI’s groundbreaking AI-LAB™ platform to include ophthalmic imaging. This initial collaboration building upon the successful AI-LAB platform is a natural expansion because modern ophthalmology practices produce the large quantity of images needed for artificial intelligence training. More information about the collaboration is in the joint ACR/AAO press release.
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ACR DSI Links Use Cases to Datasets to Speed AI Development

The American College of Radiology® (ACR®) Data Science Institute® (DSI) and the Cancer Imaging Archive (TCIA), funded by the National Cancer Institute (NCI) at the National Institutes of Health (NIH), have teamed to connect use cases and datasets to speed medical imaging artificial intelligence (AI) development. TCIA datasets have been matched to ACR DSI cancer and non-cancer use cases based upon attributes such as body area, modality, and presence of secondary comorbidities. TCIA data are available under Creative Commons Attribution Licenses, and most are freely available for commercial use for machine learning purposes.
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AI Interoperability in Imaging White Paper Released for Public Comment

A new white paper on AI Interoperability in Imaging has been released for public comment by the Integrating the Healthcare Enterprise (IHE) Radiology Technical Committee. A joint effort between medical imaging societies, industry and the radiology community, the paper sets the landscape for artificial intelligence (AI) interoperability and function. It provides a comprehensive map of the needs, problems and challenges that must be addressed to achieve an ecosystem of interoperable products that support all the processes and tasks that make up AI in Imaging. An IHE video introduces the white paper’s content.
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ACR DSI Publishes Six New Neuroradiology AI Use Cases

The ACR Data Science Institute® (ACR DSI) released six new neuroradiology use cases in February, adding substantially to the scenarios DSI provides to the artificial intelligence (AI) community. Developers can freely access 21 neuroradiology use cases on the DSI website.
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ACR DSI and Standards Bodies Active in Artificial Intelligence Space

The expansion of artificial intelligence (AI) into the healthcare arena and radiology is accelerating rapidly. Standards bodies such as IHE (Integrating the Healthcare Enterprise), DICOM (Digital Imaging and Communications in Medicine), and HL7/FHIR (Fast Healthcare Interoperability Resources) continue to actively define the inclusion of new technologies to facilitate the integration of AI into healthcare.
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New ACR DSI Searchable FDA-Cleared Algorithm Catalog Can Ease Medical Imaging AI Integration

The American College of Radiology Data Science Institute® (ACR® DSI) now offers a catalog of 111 FDA-cleared medical imaging artificial intelligence (AI) algorithms (class II) searchable by company, subspecialty, body area, modality and date cleared. Carefully designed for radiologists, the catalog dramatically reduces the time required to accomplish the formerly complex task of sorting through the algorithms available to those in medical imaging.
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ACR Informatics Fellowship Accepting 2021 Applications

Applications for the 2021 Informatics Fellowship will be accepted from February 1 - March 31, 2021.

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ACR DSI and Standards Bodies Active in Artificial Intelligence Space

The expansion of artificial intelligence (AI) into the healthcare arena and radiology is accelerating rapidly. Standards bodies such as the Integrating the Healthcare Enterprise (IHE), Digital Imaging and Communications in Medicine (DICOM) and Fast Healthcare Interoperability Resources (HL7/FHIR) continue to actively define the inclusion of new technologies to facilitate the integration of AI into healthcare. The American College of Radiology® (ACR®) continues to be an active participant in the development and maintenance of these standards.
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ACR DSI Working Group Preparing Public Comment on AI Workflow for Imaging

The IHE Radiology Technical Committee has published AI Workflow for Imaging (AIW-I) Rev. 1.0. The document can be downloaded here. Comments submitted by April 29, 2020 will be considered by IHE Radiology. Comments can be submitted here. The AI Workflow for Imaging Profile addresses workflow use cases involving the request, management, and performance of inference tasks on digital image data acquired by an imaging modality.
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JSON Representation of DICOM Structured Reports

DICOM Supplement 219 has begun a 12 month Trial Implementation period before being voted on by the DICOM Standards Committee. This supplement will make report data easier to consume for AI/ML algorithm developers and allow for interactive annotation exchange in a world where AI and PACS will be best of breed and not necessarily all the same vendor.
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ACR DSI Working Group Preparing Public Comment on AI Results

The IHE Radiology Technical Committee has published AI Results (AIR) Rev 1.0 for public comment. The document can be downloaded here . Comments submitted by April 9th, 2020 will be considered by IHE Radiology. Comments can be submitted here . This AI Results Profile addresses the capture, distribution, and display of medical image analysis results. The central use case involves results generated by artificial intelligence (AI) algorithms.
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DSI Announces New FDA-Cleared AI Algorithms

The American College of Radiology® (ACR®) Data Science Institute (DSI) recently released a new list of FDA-cleared artificial intelligence (AI) algorithms related to medical imaging. Each model includes a summary with the model manufacturer, FDA product code, body area, modality, predicate device, product testing and evaluation related to product performance and clinical validation.
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DSI Releases 90 New Radiology AI Use Cases

The American College of Radiology (ACR) Data Science Institute® (DSI) released 90 clinical and non-interpretive use cases for the radiology community in November to more than double the number of freely available use cases on the DSI website to 140.
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American College of Radiology Launches ACR AI-LAB™ to Engage Radiologists in AI Model Development

ACR AI-LAB™ offers radiologists tools designed to help them learn the basics of AI and participate directly in the creation, validation and use of healthcare AI.
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ACR DSI Releases Landmark Artificial Intelligence Use Cases

A first-of-its-kind series of standardized artificial intelligence (AI) use cases from the American College of Radiology Data Science Institute™ (DSI ) will accelerate medical imaging AI adoption.

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ACR DSI Urges AI Standardization, Interoperability and Reportability at NIH Workshop

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Hackathon Testing ACR Platform-Model Communication for AI

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