Large language models (LLMs) show promise for analyzing radiology reports of bone fractures imaged on CT.
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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AuntMinnie.com CT Insider
In our featured article for this edition of our CT Insider, we’re covering a study conducted by a team of German researchers that…
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A novel segmentation-based deep learning model for enhanced scaphoid fracture detection
The scaphoid is a biomechanically significant and the most frequently fractured carpal bone [1–3]. Up to 20 % of scaphoid fractures do not appear on initial plain radiographs and are considered occult [4–6]. When a scaphoid fracture is clinically suspected but not evident on initial radiographs, further imaging studies with computed tomography (CT), cone-beam computed tomography (CBCT) or magnetic resonance imaging (MRI) or immobilization followed by repeat radiographs after two weeks are necess…
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Central and peripheral artery stiffness: Key players in cardiovascular disease risk
The large arteries were once considered inert conduits, delivering oxygenated blood to peripheral tissues. However, large arteries have an important physiological role in buffering the cyclical changes in blood pressure (BP) resulting from intermittent ventricular ejection. With ageing and exposure to cardiovascular disease (CVD) risk factors, the large arteries stiffen, with adverse consequences for the major organs. Indeed, central (elastic) arterial stiffness is now recognized as key, indepen…
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New PET Study Links Higher Education Level to Speed of Tau Accumulation with Alzheimer’s Disease
For patients with amyloid β (Aβ)-positive findings on positron emission tomography, higher educational attainment was associated with accelerated accumulation and spread of tau, according to new research.
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Mammography Study: AI Facilitates Greater Accuracy and Longer Fixation Time on Suspicious Areas
While noting no differences in sensitivity, specificity or reading time with adjunctive AI for mammography screening, the authors of a new study noted a 4 percent higher AUC and increased fixation time on lesion regions.
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Lunit, Microsoft Collaborate to Advance AI-Driven Cancer Diagnosis
tim.hodson
Tue, 07/08/2025 – 12:22
July 2, 2025 — Lunit, a provider of AI for cancer diagnostics and therapeutics, has announced a collaboration with Microsoft to accelerate the delivery of AI-powered healthcare solutions. In conjunction with their recent acquisition of Volpara, a Microsoft Industry Health Certified Partner, this collaboration will give health professionals globally access to tools that will assist in the detection of cancer.
This underscores Lunit’s long-term visi… -
SimonMed Imaging Launches Advanced AI Mammogram Services for Breast and Heart Health
tim.hodson
Tue, 07/08/2025 – 12:00
July 7, 2025 — SimonMed Imaging, one of the largest outpatient medical imaging providers in the United States, has launched Mammogram+ and Mammogram+ Heart, two new AI-enhanced mammogram services aimed at improving early detection and advancing preventative care.
Mammogram+ is SimonMed’s most advanced breast cancer screening to date. By combining two AI technologies with expert breast radiologist review, Mammogram+ is designed to spot cancer earli… -
Mendaera Handheld Robotic System Receives FDA Clearance
tim.hodson
Tue, 07/08/2025 – 10:46
July 8, 2025 — Mendaera, Inc., a healthcare technology company focused on developing robotics that can be deployed universally in medicine, recently announced it has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its handheld robotic system, Focalist. The novel system is designed to simplify and enhance the precision of ultrasound-guided needle placement — a technically demanding procedure performed across many specialties …
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AI helps radiologists focus on lesions more than entire breast on mammo
AI improves breast cancer detection accuracy among radiologists when reading breast cancer screening exams.