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The new X-ray platform reportedly offers AI-enhanced automation with patient positioning, quality control and image processing.

United Imaging Launches AI-Enabled X-Ray Platform uDR Aurora CX

The newly launched Definium Pace Select ET X-ray platform reportedly provides increased automation and advanced image processing.

New Digital X-Ray System Offers Combination of Enhanced Efficiency and AI-Enabled Imaging Quality

Offering ergonomic controls and AI-enabled features, the remote-controlled Luminos Q.namix R system and the Luminos Q.namix T platform with tableside control reportedly facilitate workflow efficiencies for complex radiography and fluoroscopy examinations.

FDA Clears New Radiography/Fluoroscopy Systems from Siemens Healthineers 

Employing intelligent robotics and enhanced low-dose image quality, the uAngio AVIVA X-ray system also offers hands-free image review and movement.

FDA Clears New Interventional X-Ray Platform from United Imaging

The Nanox.ARC X system reportedly provides enhanced 3D imaging for a variety of indications, ranging from pulmonary imaging and intra-abdominal views to musculoskeletal assessment.

FDA Clears Emerging Digital Tomosynthesis System

While some have predicted that artificial intelligence (AI) may replace radiologists, Samir Abboud, M.D., says generative AI will allow radiologists to maximize their time on image interpretation.

, Dr. Abboud and colleagues evaluated the impact of a generative AI model for providing initial drafts of radiology reports for radiographs. In a total cohort including 23,960 radiographs, the researchers found that use of the generative AI model reduced documentation time for radiology reports by a mean of 29.4 seconds.

While the study noted a 15.5 percent increase in documentation efficiency, Dr. Abboud noted in a recent interview that he has seen “truly eye-popping” efficiency gains of up to 40 to 50 percent with use of the generative AI model for initial draft reporting.

“ … Once you've decided and formed your conclusions about what's going on with that patient, you look over the report that's been generated and decide if you agree or not, and then make any corrections that are necessary. It's just a much more natural way of doing things to my mind, and I think that's the only solution you have to the workforce shortage we have in radiology,” asserted Dr. Abboud, the chief of emergency radiology at Northwestern Memorial Hospital in Chicago.

In a total of 97,651 studies, the generative AI model provided a 72.7 percent sensitivity and a 99.9 percent specificity for unexpected pneumothorax cases that were clinically significant, according to the study authors.

Dr. Abboud attributes the specificity to additional filters incorporated into the Northwestern generative AI model that provide greater context than other AI software models for differentiating between cases of expected pneumothorax and incidental detection with clinical significance. This difference is a key advantage in a large hospital system with many ICU and postoperative patients, according to Dr. Abboud.

“When we ran the trial … the number of flags I was getting a week for unexpected pneumothoraces was one or two as opposed to getting 30 or 40 flags a day,” recalled Dr. Abboud, a clinical assistant professor of radiology at the Northwestern University Feinberg School of Medicine. “You knew right off the bat that if you were getting a flag, it was a real one, not just a stack of flags to then sort through further. The clinical relevance and the net benefit to our radiologists from that sort of approach has been quite a bit more profound than using the more traditional methods.”

(Editor’s note: For related content, see “

Generative AI Model Reduces CXR Reading Time by 42 Percent

Study: AI Bolsters Sensitivity for Pneumothorax on CXR and Significantly Reduces Reporting Time

Can Innovations with AI Help Address the Impact of Staffing Shortages on Radiology Workflows?

For more insights from Dr. Abboud, watch the video below.

In a recent interview, Samir Abboud, M.D., discussed new research examining the impact of generative AI in maximizing efficiency and reducing the time-consuming nature of radiology reporting.

Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD

The purchase of new and cutting-edge imaging equipment comes with a lot of excitement—and a learning curve. That's where Canon Medical Education comes in, providing a host of education solutions for clients that include both in-person and virtual training and continuing education opportunities.

The education arm of Canon Medical Systems USA provides a customizable plan to ensure that all imaging associates are well-trained and comfortable operating advanced equipment including MR and CT, as well as vascular and cath applications, among others. 

Understanding that every learner is different, Canon offers educational opportunities that include in-person, at their Institute of Advanced Imaging in Irvine, California; on-site training at a client facility; online and instructor-led courses in their Canon Learning Center; as well as CE and non-CE webinars and special programs.

To learn more about Canon's educational offerings, 

Canon Medical Systems offer a range of in-person and virtual educational opportunities for their clients. 

Education in Radiology: Canon's Customized Approach

Morris Panner didn’t want to call the familiar PACS system outdated or antiquated. However, he did suggest that radiology is on the cusp of a revolution with medical image and data management that parallels the ongoing emergence of the radiologist from the reading room to being a key member of the interdisciplinary team in facilitating optimal patient outcomes.

“The PACS system is no longer a new invention. It is important and you can always improve it but what people are really looking for now is how to free that data, take that pixel information, share it, use it with other types of data and advance the liquidity and flexibility in data management. That was the revolution that came out of the SIIM (Society for Imaging Informatics in Medicine) meeting this year,” noted Panner, the president of Intelerad Medical Systems, in a recent video interview.

recent survey research showing an increasing patient acceptance of artificial intelligence (AI)

, and the more gradual “try it” phase for many radiologists as they discern the most optimal fit for AI in their current workflows. To that end, Panner also reviewed key aspects of Intelerad’s Enterprise Imaging and Informatics Suite. It is Panner’s hope that by emphasizing improved efficiency and quality in radiology workflows, the system can “free up brain space for great diagnostics.”

For more insights from Morris Panner, watch the video below.

In a video interview, Morris Panner, the president of Intelerad Medical Systems, discussed key observations from the recent Society for Imaging Informatics in Medicine (SIIM) conference, recent research about artificial intelligence (AI) adoption and emerging goals for enhancing the efficiency of radiology workflows.

What's Next in Medical Image and Data Management in Radiology?

Perhaps the biggest challenge in radiology right now is the current global shortage of iodinated contrast media (ICM), which is most commonly utilized for computed tomography (CT) exams. With the temporary shortage expected to last until the end of June, radiology departments and larger medical facilities are scrambling to address this issue, which can have a significant impact on patient care.

With this in mind, we recently spoke with two professors from the Yale School of Medicine: Dr. Joseph Cavallo, an Assistant Professor of Radiology and Biomedical Imaging, and Dr. Jay Pahade, an Associate Professor and Vice-Chair of Quality and Safety for Radiology and Biomedical Imaging.

co-authored an article on strategies that imaging facilities may take to address this acute shortage of iodinated contrast media.

 They outline three central strategies including ICM dose reduction, utilization of alternative imaging modalities and possible deferment of imaging deemed to be non-urgent in nature.

Dr. Pahade called ICM a mission critical agent.

“Most institutions rely heavily on contrast-enhanced CT for the management of their patients both inside and outside of the emergency department (ED). Almost every critical diagnosis in medicine has some arm tied to CT imaging in one fashion or another,” emphasized Dr. Pahade.

For additional insights on the shortage of iodinated contrast media, watch the video below.

In a recent video interview, two radiology professors from the Yale School of Medicine discussed the impact of the iodinated contrast media (ICM) shortage and potential strategies, ranging from ICM dose reduction to possible deferment of non-urgent imaging, that may provide a viable path moving forward. 

Emerging Strategies for Managing the Acute Shortage of Iodinated Contrast Media

Whether it’s the advent of Smart Noise Cancellation or the enhanced imaging of X-ray systems such as DRX-Compass and DRX-Evolution Plus, Carestream has embraced the technology of artificial intelligence (AI) and what it can do for radiologists.

 sat down with Ron Muscosky, the worldwide product line manager for software solutions for Carestream, to discuss the company’s emerging innovations with AI technology. Watch below:

Innovations with artificial technology (AI) are fueling product advances that offer enhanced image quality, patient positioning and workflow efficiencies.

How Carestream's AI-Enabled Products are Improving Quality and Efficiency for Radiologists

Offering an array of promising benefits including quality imaging, usability across devices and enhanced portability due to lighter weight and an ergonomic design, Carestream’s Lux 35 Detector appears to check off a number of boxes for busy radiologists.

 sat down with Jill Hamman, the global product marketing manager for X-ray solutions for Carestream, to discuss the advantages of the 

The portability and durability of the device may make it an emerging option for bedside imaging.

Orthopedic X-Ray

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