A new study has evaluated the clinical value of a domain-specific multimodal generative AI model for interpreting chest radiographs.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Clot-Busting Ultrasound Gives Carotid Endarterectomy a Step Up
(MedPage Today) — There were clinical benefits to putting patients under a steady ultrasound beam during carotid endarterectomy, the phase III sham-controlled SONOBIRDIE trial found.
Applied during the surgery for people averaging 80% internal… -
What Can A C-Arm Cost You In 2025?
We are a few months into 2025, making now the perfect time to discuss the current state of C-Arm pricing. When considering pre-owned and refurbished C-Arms, there are three different price brackets that we have placed all the available full-sized C-Arms into:
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Air pollution, coronary artery disease, and cardiovascular events: Insights from the PROMISE trial
Air pollution is associated with mortality and major adverse cardiovascular events (MACE) in the general population. However, little is known about the relationship between air pollution and coronary artery disease (CAD) and how this relates to MACE.
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Assessment of inter- and intrareader agreement among different stenosis quantification methods in coronary CT angiography
Coronary CT angiography (CCTA) has become a first-line diagnostic test in the assessment of coronary artery disease (CAD) and stable angina [1–3], especially in patients with low to intermediate pre-test probability, having been promoted in recent international guidelines and consensus papers [4]. A recent randomized-controlled trial (DISCHARGE) demonstrated similar major adverse cardiovascular events using CT when compared to invasive coronary angiography as a first-line imaging modality in pat…
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Carotid plaque CTA analysis in patients with initial and recurrent ischemic stroke
Ischemic stroke, also known as cerebral infarction, is an acute cerebrovascular disease caused by obstruction of blood flow in the brain’s blood vessels, resulting in ischemia and hypoxia in the brain tissue, eventually leading to brain cell damage or death [1]. Stroke is a common cause of death and disability worldwide [2]. Stroke includes ischemic stroke and hemorrhagic stroke, of which ischemic stroke accounts for approximately 85 % of strokes [3]. In recent years, its prevalence has continue…
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Scrapping NHS England: What It Means for Radiology
The government’s decision to abolish NHS England has sparked reactions across the healthcare sector, with the Society of Radiographers (SoR) weighing in on the potential implications for radiography professionals and patient care. NHS England, which has managed the health service’s operations since 2012, will be scrapped as part of a broader effort to cut bureaucracy […]
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ZAP Surgical Introduces New Radiosurgery Planning System
tim.hodson
Tue, 03/18/2025 – 09:11
March 11, 2025 — ZAP Surgical Systems, Inc. is introducing the ZAP-Axon Radiosurgery Planning System*, a new software platform dedicated to the company’s ZAP-X Gyroscopic Radiosurgery system. Designed to simplify, accelerate, and enhance treatment planning, Axon aims to set new benchmarks in radiosurgery brain tumor treatments. Axon is currently pending FDA 510(k) clearance and is expected to be available in Spring 2025.
Dedicated exclusively to … -
Research: Imaging Surveillance May be a Safe Alternative to Surgical Excision for ADs Detected by DBT
tim.hodson
Tue, 03/18/2025 – 08:40
March 13, 2025 — According to research published in the American Journal of Roentgenology (AJR), imaging surveillance may be a safe alternative to surgical excision for architectural distortions (ADs) detected by digital breast tomosynthesis (DBT) alone with no sonographic correlate showing benign pathology without atypia on core needle biopsy (CNB).
“The malignancy rate was 0% for ADs without atypia, versus 20% for ADs with atypia, on CNB,” expl… -
AI Distinguishes Parkinson's Disease From Mimics
(MedPage Today) — An artificial intelligence (AI)-based algorithm differentiated various forms of parkinsonian syndromes based on 3-T MRI.
Across two cohorts, the Automated Imaging Differentiation for Parkinsonism (AIDP) machine learning model…