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In the next few days, astronauts aboard a SpaceX mission will take x-rays for the first time in space. The crew will be in orbit for three to five days and will conduct more than 20 science experiments, including taking images of each other with an ultraportable x-ray machine.
This year’s trip along the Road to RSNA for digital x-ray features a few familiar mileposts – AI for chest x-ray studies, for instance – but notably also significant research into how technology and new techniques can reduce radiation exposure in patients. Is adjacent x-ray imaging in the ER justified?
An AI model that detects low bone mineral density (BMD) on ankle and foot x-rays could be useful for screening for osteoporosis, according to radiologists at MD Anderson Cancer Center in Houston. The study was published February 4 in the European Journal of Radiology. Approximately 81% of patients had low BMD and 18% did not.
A group in South Korea has validated a generative AI model that could reduce reading times and increase chest x-ray reporting accuracy, according to a study published March 11 in Radiology. Nonetheless, the era of generative AI in radiology holds great promise, they wrote.
Plain hip x-rays may help screen patients for osteoporosis before they undergo total hip arthroplasty (THA), according to a study published November 14 in Scientific Reports. However, several studies have suggested that indices on plain hip x-rays may be reliable screening tools in female or Asian ethnicities.
AI assistance can improve the detection accuracy of thoracic abnormalities on chest x-rays across radiologists with varying levels of expertise, according to a study published December 12 in Radiology. About 50% of the x-rays had abnormal findings. Image courtesy of Radiology. for pleural effusion, and 5.9%
AI based lesion-detection software used in daily practice can help identify clinically significant incidental lung nodules on chest x-rays, according to a study published November 13 in Scientific Reports. needed clinical management,” wrote lead author Shin Hye Hwang, MD, and colleagues.
A group in Japan has developed and tested an elastic x-ray shield made by embedding bismite particles in porous polyurethane, and suggests the new shielding material could provide more comfortable radiation protection. “It The DRF was approximately 80% for a typical diagnostic x-ray acquired at 70 kV, according to the findings. “It
In an RSNA 2023 video interview, Saurabh Jha, MD, of the University of Pennsylvania in Philadelphia discusses sessions on rural radiology issues and a recent initiative to bring x-ray exams to Mt. He also announces a new podcast partnership with AuntMinnie.com.
Reading Time: 10 minutes read By Henry Williams, Carestream Area Vice President, Sales Western Nowadays, with hospital budgetary restrictions at the forefront of the purchasing decision making process, it seems like the X-Ray market, like everything else, is not immune to the current state of the economy. But is that really the case?
A team in Italy has developed a real-time machine-learning (ML) system that can predict x-ray service times in emergency departments. X-rays are the most frequently conducted medical exams in emergency departments (EDs) and use a remarkable proportion of the ED budget, the authors noted.
A commercially available AI algorithm shows potential for off-label use as a way to generate automatic reports for “unremarkable” chest x-rays, according to a study published August 20 in Radiology. To explore the issue, Plesner and colleagues evaluated Enterprise CXR (version 2.2,
ChatGPT-4 is reasonably accurate in identifying radiological terms on chest x-ray reports, according to research presented at the Conference on Machine Intelligence in Medical Imaging (CMIMI). Furthermore, some radiological reports may contain technical language that patients may not easily understand.
An AI model has delivered a long overdue update of pediatric bone growth predictions used in x-ray imaging to monitor scoliosis, according to a study published April 30 in Radiology. Full-body biplanar slot scanning is a type of low-dose digital x-ray imaging used to monitor scoliosis. Image courtesy of Radiology.
A group in Seoul, Korea, has developed an AI model that could help reduce radiology workflows by identifying “no changes” in follow-up chest x-rays of patients in critical care, according to a study published October 24 in Radiology. Image courtesy of Radiology. The researchers included 3.3
An AI algorithm can help identify rare tumors on upper arm bones in patients undergoing chest x-rays – findings not typically identified in daily reading practice, according to an article published March 6 in Radiology: Artificial Intelligence. Image and caption courtesy of Radiology: Artificial Intelligence.
CHICAGO -- A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times, according to a study presented November 28 at RSNA. The AI images were displayed next to the original image for review by the radiology readers. noon, and 3 p.m.,
German developers of dark-field chest x-ray appear to have overcome a technical limitation of the technology – namely, adjusting for photon scattering caused by interferometers used in the experimental system. To overcome this limitation, the researchers developed a deconvolution-based correction method for the induced artifacts.
Nearly 72,000 chest x-rays had been randomized as of November 25 (the study is open through December 31), with the two primary outcomes of the trial being time to diagnosis of lung cancer and time from chest x-ray to CT by prioritizing abnormals. UCLH has produced 9,217 chest x-rays from 8,072 patients.
and radiology has learned much since then, according to experts who directly dealt with the diseases impact. While services for breast and lung cancer screening were temporarily halted, imagers in x-ray, lung ultrasound, and PET/CT were busy examining patients who presented with COVID-19.
CHICAGO -- German researchers are testing ways to support nonradiologists in interpreting chest x-rays in emergency settings using an AI assistant. For the study, radiology residents’ and nonradiology residents’ performances were statistically compared with the AI system. Nonradiology residents 0.78 Nonradiology residents 0.78
AI-assisted triage of lung x-rays using commercially available software could help reduce turnaround times in real-world settings by 77%, according to an article published October 10 in the European Journal of Radiology. Out of the 20,944 chest x-rays, 28.6% were normal, 61.2% were nonurgent, and 10.2% were urgent.
Dark-field x-ray imaging can provide insights into bone microstructure and could potentially have a role in assessing osteoporosis, according to a study published November 4 in European Radiology Experimental. International) and courtesy of European Radiology Experimental. The donors' average age was 68.5 years
In a study described as a “competition between radiologists,” participants tasked with identifying abnormal findings on chest x-rays performed better with AI assistance than without AI assistance – though not by much and not in all cases, according to a group in Nanjing, Jiangsu, China.
GE HealthCare and NVIDIA have announced a new collaboration for autonomous x-ray and ultrasound technologies at NVIDIA GTC 2025. As part of an expanded relationship, GE HealthCare will utilize NVIDIAs new Issac for Healthcare platform to develop AI-enabled x-ray and ultrasound systems.
Intelligent virtual and AI-based collimation features appear to save radiographers time during x-ray image acquisitions – a key function for enabling more patient-focused workflows, according to a recent study. The study was published online May 18 in Radiography.
Dell Technologies and Northwestern Medicine are collaborating on a generative multimodal large language model (LLM) for the interpretation of chest x-rays.
Among them is the high-volume single-view chest x-ray 71045 with a net increase of 1.06% due to an RVU value increase of 4%, from 0.25 In 2024, duplex Doppler scan 93979 increased by 1.12% but for 2025 it was cut back by 4.22%.
X-rays are like a superpower for doctors—they can see things hidden from plain sight. Whether it’s a broken bone, a lung infection, or even a swallowed object, X-rays reveal the secrets of your body. At Professional Radiology in El Paso, we understand the importance of X-rays in guiding personalized care.
In a clinical trial in Sweden, researchers measured Cobb angles on x-rays in participants using the strategy combined with physical activity and found the intervention prevented spinal curve progression, noted lead author Anastasios Charalampidis, MD, PhD, of the Karolinska Institutet in Stockholm, and colleagues.
Experts see particular benefit in “situations with high case volumes, which often lead to long work lists and reading delays," according to research published in Academic Radiology.
Ordering x-rays after removing chest tubes from lung surgery patients does not lead to meaningful change in patient management and prolongs hospital stays, according to a study published July 26 in the Journal of Thoracic and Cardiovascular Surgery. All patients who had any symptoms underwent a chest x-ray. days vs. 2.3
1 can conduct chats related to imaging, identify and localize X-ray findings, generate reports and provide its reasoning based on patient history and clinical context. Harrison.rad.1
The agency's B Reader Program trains and certifies physicians to classify chest radiographs of workers participating in federal health surveillance programs.
X-ray and ultrasound machines were badly damaged in a rocket attack on Ukraine's largest children's hospital on July 8, according to radiologist Stanislav Rebenkov, MD. Rebenkov has been head of radiology at Ohmatdyt Children's Hospital since 2020. Rebenkov said he would welcome any support from the global radiology community.
The software could opportunistically screen patients at a smaller cost than other interventions, given it automatically operates "in the background" on radiographs performed for other reasons.
However, conventional CT requires hundreds of X-ray projections from multiple angles, exposing patients to significant radiation doses and relying on large, immobile systems. A New Paradigm in Imaging "In XACT, the generated sound waves by X-rays change the way X-ray imaging works, converting X-rays to ultrasound.
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