RadNet’s acquisition of See-Mode Technologies has introduced AI-powered ultrasound imaging to its DeepHealth population health offerings. See-Mode’s technology, which focuses on thyroid and breast ultrasound, has shown a significant 30% reduction in scan time due to enhanced workflow efficiency. This improvement was observed during the early deployment of See-Mode’s FDA-approved thyroid ultrasound AI across a portion of RadNet’s imaging centers. RadNet operates over 900 ultrasound units, and the increased capacity from See-Mode’s technology is expected to improve access and revenue. In 2024, See-Mode received 510(k) clearance from the FDA for its AI-powered thyroid ultrasound offering. A year earlier, See-Mode obtained regulatory approvals in Australia and New Zealand for its AI-powered breast and thyroid ultrasound technology. Additionally, RadNet has collaborated with GE HealthCare and Volpara Health Technologies to further advance AI in imaging across its 353 imaging centers in seven U.S. states.
Science Magazine
@ScienceMagazine
·
Apr 3 A new method reported in Science allows the generation of 3D ultrasound images of gene expression and 2D ultrasound images of capillary vessels. The approach enables fast, deep, and volumetric imaging of living opaque organs labeled with echogenic reporters.
Learn more in this
JaPrado.
@Dr_AustinOmondi
·
May 10 Our team of medics has come up with something that will revolutionize imaging especially in triage. In busy imaging centers, time is everything.
AI-powered triage instantly flags critical scans, prioritizes urgent cases, and streamlines radiologist workflows—cutting down delays,
Inside Precision Medicine
@Inside_PM
·
20h Generative AI Tool Improves Radiologist Productivity
A new generative AI system developed at
@NorthwesternU
was able to increase efficiency in report completion by up to 40% without compromising accuracy.
#ArtificialIntelligence #radiology
Don’t Fret
@BsMakaka
·
23h Huge leap in healthcare AI! Northwestern Medicine’s new generative AI is revolutionizing radiology, boosting efficiency and flagging critical conditions in milliseconds. This is the future of diagnosis!
UroToday.com
@urotoday
·
Jun 4 Multimodal AI test predicts #ProstateCancer metastasis and treatment response.
@TimShowalter1
@arteraAI
joins
@l_ballas
@CedarsSinai
discussing how ArteraAI analyzes H&E-stained biopsy slides using computer vision combined with clinical factors to generate personalized risk
Dr. Khulood Almani | د.خلود المانع
@Khulood_Almani
·
May 7 How Is #GenerativeAI Revolutionizing #Healthcare Behind the Scenes
𝐂𝐨𝐦𝐨𝐫𝐛𝐢𝐝𝐢𝐭𝐢𝐞𝐬 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧
Uncovers hidden, secondary health conditions by analyzing a patient’s full medical history—enabling earlier, more holistic interventions.
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