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When radiologists interpretations are indeterminate, a commercially available deep learning algorithm could find clinically significant prostate cancer with improved specificity while maintaining sensitivity, suggested research published March 11 in Radiology. A majority (179) of participants underwent multiparametric MRI, the authors noted.
Diagnostic radiology MRI Safety A new CPT subsection has been established for reporting six new codes describing MR safety services, including implant or foreign body evaluation, safety consultation, electronics preparation, and implant positioning or immobilization. CM stands for the Clinical Modification of the classification system.
The Society of Diagnostic Medical Sonography (SDMS) has released a revised version of its " Code of Ethics for the Profession of Diagnostic Medical Sonography."
ChatGPT has been effective in 84% of radiology research studies, yet it is still too soon to confirm its complete proficiency for clinical applications, according to a team at the University of California, Los Angeles. Summary of ChatGPT's topics in five different clinical areas of radiology (n = 44).
Oxford Brain Diagnostics' CDM Insights software has been granted 510(k) clearance by the U.S. Powered by the Oxford, England-based company's cortical disarray measurement technology, CDM Insights allows for clinical assessment of the brain's microstructures via MRI scans. It processes clinical MRI scan data from both 1.5-tesla
It's better to take Prostate Imaging-Reporting and Data System (PI-RADS) upgrading rules into account when it comes to deciding whether a patient with clinically significant prostate cancer needs a biopsy, researchers have reported. "[Our] The study results were published February 14 in the American Journal of Roentgenology.
BOSTON -- ChatGPT shows early promise in classifying clinically significant breast pain, according to research presented at the Conference on Machine Intelligence in Medical Imaging (CMIMI). ChatGPT also correctly identified most clinically significant breast symptoms. of clinically significant symptoms. of breast pain symptoms.
“Ultrasound contrast agent use can be ubiquitous in interventional practice and can solve many logistical or clinicaldiagnostic problems,” he said. In ultrasound, contrast use has been shown to improve differentiation of liver lesions and the diagnostic performance of O-RADS in assessing ovarian lesions among other examples.
The pause will last until Akumin can restore its systems in a “safe and secure manner,” leaving the company unable to see patients at its fixed-site locations.
The impending diagnostic radiology oral exam should be welcomed for aspiring radiologists, according to an article published January 5 in Academic Radiology. These include the diagnostic radiology qualifying exam and the diagnostic radiology certifying exam. The latter can be taken as early as 12 months after residency.
Automated breast ultrasound (ABUS) is useful as an adjunct to digital breast tomosynthesis (DBT) in opportunistic screening and diagnostic imaging, suggest findings published October 14 in Ultrasound in Medicine & Biology. The team included 1,089 ABUS exams, with 909 being screening exams and 180 being diagnostic exams.
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 study was published March 29 in Chest Pulmonary.
Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik H. Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL. He earned his medical degree at the University of Alabama School of Medicine and completed a residency in diagnostic radiology at the University of Florida. Middlebrooks, MD.
Deuterium metabolic imaging (DMI) was highly aligned with F-18 FDG-PET -- a cornerstone of dementia diagnostics -- in patients with Alzheimer's disease in a study published April 8 in Radiology. They compared the DMI results to clinical FDG-PET data from patient records. A graphical abstract of the study. Image courtesy of RSNA.
With strong demand for medical imaging in many differing clinical contexts, hospitals are managing growing routine imaging demands while balancing teaching practices, ambulatory services, primary care, and subspecialty services. billion healthcare facility. Another, a new hospital complex is underway at University of Utah Health.
Implementing a clinical decision support system (CDSS) had little effect on reducing inappropriate imaging orders by doctors in university hospitals, according to a study published February 10 in JAMA. percentage points, which was not statistically significant, the researchers reported.
AI-guided point-of-care ultrasound (POCUS) can accurately detect tuberculosis (TB), according to research presented April 14 at the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) conference in Vienna, Austria. The technology may have applications in clinically underserved areas, Suttels said.
Available in two versions -- SE and UE -- the new scanner features a 70 cm design and integrated AI-enabled MR Smart Workflow software, the latter of which increases patient throughput without compromising diagnostic quality, the company said. Whats more, Philips announced an AI research collaboration with the Mayo Clinic for cardiac MRI.
This is a testament to how research has shifted from standalone studies on the accuracy of algorithms to how they may actually impact clinical workflows – and thereby perhaps move a step closer to broader clinical implementation. Chest x-ray AI evaluated in clinical routine at a Norwegian hospital Monday, December 2 | 1:30 p.m.-1:40
Medical imaging is the economic artery of modern diagnostics, with AI-driven advancements prompting clinicians to rethink how they interpret scans. It signifies the sectors accelerating adoption of AI-driven diagnostics, shifting what was once a supplementary tool into a linchpin of modern radiology. Ravinder Singh.
Canadian x-ray manufacturer KA Imaging plans to highlight clinical results regarding the use of its Reveal 35C detector in the intensive care unit (ICU) at the American Society of Emergency Radiology (ASER) meeting to be held in Washington, D.C.
In fact, radiology often forms the foundation of diagnostics and treatment for hundreds of other departments including cardiology, neurology, orthopedics, oncology, and even dermatology. Without access to a given EMR, it becomes impossible for different doctors to view diagnostic scans and other data relating to the patient’s condition.
Thus, the researchers aimed to determine prospectively whether 18F-FES PET improves staging for patients with clinical stage II/III or local-regional recurrent, grade 1 or 2, ER-positive breast cancer compared with standard F-18 FDG-PET. The full study is available here.
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. Specificity 50% 91% Diagnostic accuracy 80.1%
The Choi team compared the diagnostic performance of LI-RADS v2024 with that of LI-RADS v2017 for detecting HCC in at-risk patients. Diagnostic performance of radiologists using LI-RADS Measure Radiologist 1 Radiologist 2 LI-RADS v2024 Sensitivity 64.3% It also identified predictors of VIS-C scoring on follow-up surveillance exams.
These findings advocate for the potential of machine learning in revolutionizing cardiac tumor diagnostics, offering pathways to more accurate, noninvasive, and patient-centric diagnostic processes," the Sadegh-Zadeh team wrote. The researchers highlighted that machine learning techniques could lead to improved diagnostic performance.
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. He served in the U.S. He earned his medical degree from Washington University in St.
Siemens Healthineers and Tower Health have formed a 10-year Value Partnership that will focus on equipment enhancement, technology modernization, and improving clinical experience for patients. This includes devices and scanners related to CT, MRI, interventional radiology, and Varian radiation oncology therapies.
In a statement, Stamford, CT-based company Caristo Diagnostics noted that the approval of the two new CPT codes is a critical milestone for its CaRi-Heart AI-powered technology for detecting coronary inflammation in routine coronary CT angiography (CCTA) scans. clinical adoption and payer reimbursement for CaRi-Heart once U.S.
Radiology practices can create a more welcoming environment for radiologists returning from parental leave who breastfeed, according to a paper published November 26 in Current Problems in Diagnostic Radiology.
A new analysis in Clinical Radiology is intended to help guide interventional radiologists in their decision-making processes regarding PCNB to reduce the likelihood of diagnostic failure.
The finding is from a study that validated a fast protocol in 121 clinical patients, with seven independent readers giving the algorithm high scores for reducing image noise and improving image sharpness, noted lead author Jan Vosshenrich, MD, of New York University in New York City, and colleagues.
RadNet subsidiary DeepHealth is introducing new AI-powered informatics, workflow, and integration software designed to improve operational efficiency, reduce complexities, and improve clinical confidence in imaging workflows. SmartMammo and SmartSonography are new SmartTechnology modules. It received U.S.
The American College of Radiology (ACR) will offer Belgium-based icometrixs brain MRI AI software through its Alzheimers Network for Treatment and Diagnostics (ALZ-NET).
In his talk, Niccol Finardi from the University of Milan in Italy presented his teams research, demonstrating CEUS high diagnostic accuracy at different time points after spleen trauma occurs, ranging from within 48 hours to 60 days follow-up.
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 company has entered into asset purchase and exclusive worldwide in-license agreements for a suite of clinically validated FAP-targeting therapeutic and precision medicine radiopharmaceutical candidates.
The new horizons of advanced imaging, especially in oncology, must increasingly consider not only diagnostic efficacy but also sustainability for patients, prize-winning researchers told ECR 2025 delegates. To mitigate these effects, low-energy imaging techniques should be prioritized without compromising diagnostic accuracy.
and European experts have proposed a joint practice guideline for use in nuclear medicine on diagnostics and therapy (theranostics) of meningiomas, as published June 20 in the European Journal of Nuclear Medicine and Molecular Imaging. the group wrote. or European medical agencies, they added.
Medalitys case-based microlearning and clinical simulations are developed in partnership with academic radiologists and are designed to help enable radiologists to upskill efficiently in high-growth imaging areas, improve diagnostic accuracy, reduce turnaround times, and expand practice breadth, the company noted.
With the funding, the Springfield, NJ-based company plans to advance commercialization of its Ga-68 DOTATOC diagnostic kit, and further its theranostic pair, EVG-321, into clinical trials. Evergreen Theragnostics has raised $26 million in capital through its existing shareholders and new backers Petrichor and LIFTT.
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