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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. First, the team culled a dataset from 907 patients over 50 years old who had undergone both DEXA scans and x-rays within 12 months.
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.
A commercially available AI model was on par with radiologists when detecting abnormalities on chest x-rays, and eliminated a gap in accuracy between radiologists and nonradiologist physicians, according to a study published October 24 in Scientific Reports. A) Chest x-ray unaided by the AI system. (B)
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 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.
This year’s trip along the Road to RSNA for digital x-ray features mileposts mostly set by AI research. Models will be proposed for applications ranging from predicting bone density on chest x-rays to generating complete reports on anterior cruciate ligament (ACL) tears. Nonetheless, AI is poised to take top headlines.
Food and Drug Administration clearance for its chest x-ray algorithm CXR Analyzer. CXR Analyzer is a deep learning algorithm designed to automatically detect and categorize a broad range of suspicious lung, pleural, and cardiac pathologies on x-rays and can aid clinicians in making precise interpretations, according to the company.
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
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.
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. AI detected a lung mass, a lung nodule, and a small pneumothorax.
Researchers in Australia have invented a technique using x-rays and 3D surface body scans that could optimize body armor for soldiers, according to a study published May 18 in Applied Ergonomics.
X-rays are a common component of diagnostic testing and industrial monitoring, used for everything from monitoring your teeth to scanning your suitcase at the airport. But the high-energy rays also produce ionizing radiation, which can be dangerous after prolonged or excessive exposures.
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?
Mercedes-Benz said it has performed the world's first crash test with a real car using x-ray imaging technology. The linear accelerator generates a continuous stream of x-ray pulses up to 1,000 images per second, which is about 1,000 times as many as with conventional medical x-ray procedures, the company noted.
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.
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 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, Annalise.ai ), software cleared in Europe and the U.S.
Researchers in Germany created an AI model that outperforms others in diagnostic accuracy when given access to clinical data that goes beyond an X-ray image.
The largest private hospital system in Malaysia, Sunway Medical Centre, Sunway City (SMC), will integrate Annalise.ai’s Enterprise CXR chest x-ray technology into its medical imaging workflow. The software can detect up to 124 findings on chest x-rays within seconds, which can improve diagnostic speed and accuracy, SMC said.
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.
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. The tumor localization/visualization results obtained by the proposed AI algorithm.
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). Alsheikh and colleagues evaluated ChatGPT-4’s accuracy in identifying common radiological terms from chest x-ray reports.
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 The algorithm achieved an AUC of 0.77
Dell Technologies and Northwestern Medicine are collaborating on a generative multimodal large language model (LLM) for the interpretation of chest x-rays.
Shimadzu Medical Systems USA has acquired one of its distributors, Vacaville-based California X-ray Imaging Services (CIS). Since 1992, CIS's focus has been throughout northern California and northern Nevada.
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.
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% The images were acquired in the hospital’s emergency department.
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 software was configured to push email notifications three times a day, at 8 a.m., noon, and 3 p.m.,
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. The donors' average age was 68.5 years years old; the average weight was 86.1 kg, kg, and average body mass index was 31.3 kg/m
Researchers led by ShivendraRai, MD, from King Georges Medical University in Lucknow, Uttar Pradesh, India, found that LUS scoring predicts surfactant administration better than chest x-ray in preterm neonates of 34 weeks' gestation admitted within 12 hours of birth with clinical suspicion of RDS. Of the total newborns, 67.2%
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.
CHICAGO -- German researchers are testing ways to support nonradiologists in interpreting chest x-rays in emergency settings using an AI assistant. Rudolph highlighted results for pneumothorax detection, in particular, where the AI assist performed similarly to the radiology resident readers. Nonradiology residents 0.78
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.
Musculoskeletal X-rays ordered during telemedicine appointments had a higher likelihood of showing "normal" results than those ordered during in-person visits, suggesting those exams may have not been necessary in the first place.
. | M4-SSMK03-4 | Room E450A A deep-learning AI model will be presented in this session that can predict bone mineral density T-scores from chest x-rays. They then trained the algorithm on a data set of 47,150 x-rays (23,151 patients) and validated it on an external data set of 2,914 radiographs (1,515 patients).
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.
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.
Rho uses patented AI technology to automatically scan standard x-rays (frontal projections of the chest, thoracic spine, lumbar spine, pelvis, knee, and hand/wrist) for markers of low BMD, an indicator of osteoporosis, 16 Bit said. the company noted.
In an article published September 30 in PLOS Digital Health , scientists at the agency noted that they have few methods currently for ensuring that the half a million x-rays they receive every year from physicians overseas have been interpreted correctly. “To
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