Invivo

Kate Madden Yee

Oct 25, 2007

2007 10 25 13 30 04 706

(Booth 2565) Visitors to the RSNA booth of Orlando, FL-based Invivo will see a new release of the company's DynaCAD software, version 2.0.

Invivo will offer an Enterprise Solution of DynaCAD that features a hybrid client architecture for shared processing of patient studies on both the DynaCAD server and clients within the network.

2025 04 23 Ajr Vosshenrich Thumbnail

Deep-learning technique boosts diagnostic ability of fast knee MRI

April 24, 2025

Data Protection Nijat

Health data restrictions plague medtech AI developers

April 23, 2025

2025 04 22 Radiology Mrisegmenter Thumbnail

MRI tool segments over 60 abdominal organs, structures

April 22, 2025

Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.

AI produces synthetic 3T MR images from portable scans

April 22, 2025

Deep-learning technique boosts diagnostic ability of fast knee MRI

By Kate Madden Yee

A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.

April 24, 2025

2025 04 23 Ajr Vosshenrich Thumbnail

Health data restrictions plague medtech AI developers

Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.

April 23, 2025

Data Protection Nijat

MRI tool segments over 60 abdominal organs, structures

By Amerigo Allegretto

An automated multiorgan tool can accurately segment T1-weighted abdominal MR images.

April 22, 2025

2025 04 22 Radiology Mrisegmenter Thumbnail

AI produces synthetic 3T MR images from portable scans

By Erik L. Ridley

Findings show that AI could potentially expand the utility of neuroimaging on portable MRI systems.

April 22, 2025

Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.

Cortechs.ai software gets Health Canada approval

By AuntMinnie.com staff writers

AI developer Cortechs.ai has received approval from Health Canada for its medical imaging analysis software suite.

April 22, 2025

Artificial Intelligence Ai Brain 400

More women welcome AI assistance for mammography exams

By Amerigo Allegretto

More women are willing to have AI assistance for their breast cancer screening exams.

April 18, 2025

Mammo Reading 400

How can AI best help in LDCT lung cancer screening?

A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.

April 16, 2025

Can LLMs help track interval changes on radiology reports?

By Erik L. Ridley

Large-language models (LLMs) show potential for tracking interval changes on longitudinal radiology reports.

April 14, 2025

Artificial Intelligence Ai Global Communication Network

AI-guided POCUS bests experts in detecting TB in underserved areas

By Amerigo Allegretto

AI-guided POCUS can accurately detect tuberculosis (TB), according to research presented at the ESCMID conference in Vienna, Austria.

April 13, 2025

Véronique Suttels, PhD, performs an ultrasound scan on a patient in Benin, West Africa, using a POCUS scanner connected to a smartphone. Her team studied how an AI-guided POCUS system can help diagnose tuberculosis in patients with respiratory symptoms. Image courtesy of Véronique Suttels, PhD.

Mimicking human vision: The new standard for medical image fidelity

By Ravinder Singh and Vaibhavi Sonetha, PhD

Ravinder Singh and Vaibhavi Sonetha, PhD, of Citius Healthcare Consulting, discuss a new method for assessing medical image fidelity.

April 11, 2025

Senators introduce medical AI reimbursement bill

By Amerigo Allegretto

A bill introduced in the U.S. Congress aims to establish a reimbursement pathway for FDA-authorized medical devices that rely on AI.

April 10, 2025

Business Computer Partners Handshake Techno 400

AI bests rads in finding breast cancer in women with personal history

By Amerigo Allegretto

AI may have a role in finding contralateral disease in women with a personal history of breast cancer.

April 8, 2025

Images depict a 65-year-old patient with contralateral second breast cancer 6.3 years after right mastectomy. (A) Left craniocaudal and (B) mediolateral oblique mammograms assessed as benign. (C) The AI algorithm outlined a lesion with a score of 31 on the craniocaudal view. (D) A supplemental axial ultrasound scan, which was obtained on the same day as the mammogram, shows an irregular hypoechoic mass (arrows) in the left upper central breast. (E) Preoperative sagittal contrast-enhanced T1-weighted MRI scan shows the corresponding enhancing mass (arrow) in the left upper center. The mass was proven to be ductal carcinoma in situ.

Page 1 of 376