Oct. 31, 2025 — Echolight plans to demonstrate its bone density scanning technology at the Radiological Society of North America (RSNA) 2025 Congress in Chicago (Nov. 30 to Dec. 4).

Oct. 30, 2025 – In collaboration with OBIO, University Health Network (UHN), Canada’s leading hospital and the No. 1 publicly funded hospital in the world, is adding a new advanced mobile X-ray machine to its radiology department. The technology, called Reveal Mobi Pro, is developed and manufactured by KA Imaging. With its increased flexibility, Reveal Mobi Pro is designed to improve the clarity and speed of imaging for patients visiting the downtown Toronto hospital – right at the bedside.

Oct. 28, 2025 — Bronchopulmonary dysplasia (BPD) is the most common — and most serious — complication of extreme prematurity. Yet clinicians still lack a reliable way to measure the severity of the disease or predict which infants will need long-term respiratory support.

Now, researchers at Children’s Hospital Los Angeles (CHLA) are investigating low-field MRI to safely capture both lung structure and function in these babies — offering a new window into how their fragile lungs develop.

Oct. 30, 2025 — Sirona Medical has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its Sirona Advanced Imaging Suite, marking a significant regulatory milestone and the company's first Class II medical device designation.

This clearance expands Sirona's diagnostic imaging capabilities to include PET-CT support with quantitative SUV analysis, image fusion, maximum intensity projection (MIP) generation and multi-planar reconstruction (MPR). 

Medical Imaging on the Cloud: Testing for Trust

Almost two-thirds of health systems are already using (or plan to use) the cloud for storing and viewing medical images. CT scans, MRIs and X-rays are now routinely captured, stored, and shared online. The shift makes sense: the cloud makes it easier to scale, collaborate across locations, and apply AI models to large datasets. But as hospitals move more of their imaging to the cloud, they’re also discovering that it brings a new set of challenges along with those advantages.

Oct., 2025 — Elucid, an AI medical technology company focused on providing physicians with a more precise view of atherosclerosis, has introduced its PlaqueIQ image analysis software for the quantification and classification of plaque morphology in the carotid arteries. The first and only CT-based plaque analysis software indicated for the carotid vasculature, PlaqueIQ may help physicians diagnose carotid plaques at risk for rupture and develop patient-specific treatment pathways to prevent and monitor against ischemic stroke.

Oct. 28, 2025 — QT Imaging Holdings, Inc., a medical device company focused on radiation-free imaging technology, has announced a strategic collaboration with Intelerad Medical Systems. The agreement establishes the deployment of InteleShare Research picture archiving and communication systems (PACS) and Cloud PACS across QT Imaging’s clinical research and commercial networks.

Oct. 27, 2025 — A new study from the Harvey L. Neiman Health Policy Institute found that radiologists who experienced closure of their practice were 10% more likely to subsequently practice as a subspecialist (i.e., majority practice in one area — abdomen, breast, cardiothoracic, musculoskeletal, neuroradiology, nuclear medicine or vascular and interventional radiology). The study, published in the Journal of the American College of Radiology (JACR), was based on nearly 240,000 radiologist-years between 2014 and 2021.

Oct. 24, 2025 —YorLabs, Inc., a medical technology company developing next-generation intracardiac imaging solutions for electrophysiology (EP) and interventional cardiology (IC) procedures, recently announced that the U.S. Food and Drug Administration (FDA) has granted 510(k) clearance for the company's YorLabs Intracardiac Imaging System — a zero-capex ultrasound platform designed to simplify workflow, reduce cost, and enhance procedural efficiency inside the cath lab.

Revealing the Hidden Threat: How AI is Changing the Story of Interval Breast Cancers

Despite decades of progress in breast imaging, one challenge continues to test even the most skilled radiologists: interval cancers — breast cancers that appear between regular screening rounds after an initial “negative” mammogram. Often fast-growing and aggressive, these cancers can account for a significant proportion of clinically relevant misses, even in the era of digital breast tomosynthesis (DBT).
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