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Chest dynamic digital radiography (DDR) may have received a boost toward clinical use in patients with lung disorders, with researchers developing AI to perform time-consuming analysis involved in the technology, according to researchers in New York City. The full article is available here.
More than 60% of diagnostic radiology and radiation therapy staff experience workplace violence, according to a study published January 9 in Radiography. To address this knowledge gap, the authors reviewed medical literature to identify articles on the issue over the last 10 years. The full article is available here.
Most Influential Radiology Researcher Erik Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik Middlebrooks, MD. One of this year's nominations for Most Influential Radiology Researcher is Erik Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL. In 2018 he received an endowed professorship from the university.
The article was published March 7 in IEEE Transactions on Medical Imaging. Initial results from currently ongoing clinical studies suggest that dark-field chest x-ray can be useful for detecting and quantification of pulmonary emphysema , and for assessing COVID-19 pneumonia , the authors wrote.
Researchers at the Icahn School of Medicine at Mount Sinai ("Icahn Mount Sinai") used Dynamic Digital Radiography (DDR) data, an X-ray imaging technology developed by Konica Minolta, to create their AI-powered technique that analyzes lung function. Chest radiography is typically acquired in the evaluation of pulmonary disorders.
The technology figured prominently in five Minnies categories, including Hottest Clinical Procedure. We hope you enjoy our article as well as the opportunity to hear directly from the recipients. And 2023 is no exception. Notably, AI was even more prevalent this year among the Minnies winners than in the past.
The new discovery lit a fire in the scientific community, and was so sensational that in the following year over 1,000 articles would be published on the topic of X-rays. Radiography has exploded into a variety of modalities and specialisms from CT to Ultrasound to MRI; all driven by research and development. How can I get involved?
Introduction : In the past decade, veterinary medicine has witnessed a transformative shift with the adoption of digital radiography systems in place of traditional film-based methods. For veterinary professionals contemplating the switch to digital radiography, this article offers essential guidance to ensure a seamless transition.
The model performed well, and you can read about the study in this issue’s featured article. An AI algorithm was presented that could make dynamic digital radiography (DDR) more efficient by automatically measuring kinematics involved in certain shoulder injuries. As expected, AI studies took most of the top headlines from RSNA 2023.
Project philosophical doughnut was an editorial project to tidy up, standardize and, most importantly, give clinical indications and purpose to our CT protocol articles (hence the wacky name Andrew chose and stuck with).
Article: The diagnostic performance and clinical value of deep learning-based nodule detection system concerning influence of location of pulmonary nodule Authors: Seulgi You, Ji Hyun Park, Bumhee Park, Han-Bit Shin, Taeyang Ha, Jae Sung Yun, Kyoung Joo Park, Yongjun Jung, You Na Kim, Minji Kim & Joo Sung Sun
This was especially seen in the role of chest radiography when it was utilized as a diagnostic tool at the beginning of the pandemic “when microbiological resources were scarce,” evolving into its use focusing on the detection and monitoring of COVID-19 lung involvement.
In this article, we will explore the latest innovations that are shaping the future of dental X-ray imaging, revolutionizing patient care and clinical practices. Digital Radiography: Traditional film-based X-ray imaging is making way for digital radiography.
Article: Marx T, Joly LM, Parmentier AL, et al. PMID: 36693146 Clinical Question: In patients aged 18-50 years with primary and complete pneumothorax, is simple aspiration non-inferior to chest tube drainage for rates of pulmonary re-expansion within 24 hours? Am J Respir Crit Care Med. 2023;207(11):1475-1485.
Clinical criteria was fairly standard but “how” we were taught to position was widely, and sometimes wildly, variable! The unfortunate result is that most mammographers were and are not currently learning techniques and principles that apply to positioning of all other radiography exams. It just was what it was.
Clinical Question: Is ultrasound or supine CXR more sensitive in the detection of pneumothorax? Sensitivity All PTX CXR 43% CUST 35% Excluding Occult PTX CXR 78% CUST 65% Strengths: This study asks a clinically relevant question. Paper: Santorelli JE, Chau H, Godat L, Casola G, Doucet JJ, Costantini TW. J Trauma Acute Care Surg.
Even today we have 2000 full-time consultant clinical radiologist posts unfilled across the UK. We have a rigorous commitment to clinical governance, and we are proud of our work force of GMC-registered/FRCR-radiologists with sub-specialty interests. At DMC Radiology Reporting, we already work in partnership with many NHS Trusts.
While medical imaging providers continue to look toward the future, healthcare providers can embrace existing AI radiology solutions that are helping to improve clinical outcomes and enhance the imaging experience for patient and radiographers today.
1) and may go undetected until they are larger and more likely to present with clinical symptoms [4]. It is important to emphasize that the EUSOBI recommendations highlighted in this article are not yet guidelines in Europe. However, in dense breasts, cancers can be hidden/obscured on mammography [2,3] (Fig.1)
Today's clinical reality The scale of the difficulties faced in many developing nations is highlighted by a 31 March 2025 NilePost report. Furthermore, health centers in remote and rural areas without imaging equipment may be serving large patient populations, exacerbating the issues that lack of access to necessary equipment causes.
The finding underscores the importance of considering these factors when evaluating radiation exposure in clinical practice, noted lead author Ken Takada, PhD, of Ogaki Municipal Hospital in Ogaki City, and colleagues.
This article is dedicated to comparing these rules and providing a reasonable guide for maximizing their individual utility. Each boasts near perfect sensitivity and negative predictive values for clinically significant acute intracranial processes. Finally, all were prospective cohort studies and, aside from New Orleans, multi-center.
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