NEW

InkSpace Imaging Makes Advanced MRI Coils Available to Siemens Healthineers Magnetom Scanners

InkSpace Imaging has revealed the successful certification of its Snuggle and Silhouette MRI body arrays for compatibility with all Siemens Healthineers TIM 4G 3T Magnetom MRI scanners in the United States. This achievement encompasses a wide range of models,...

Health Care Leaders Form Trustworthy & Responsible AI Network (TRAIN)

Monday, at the HIMSS 2024 Global Health Conference, a new consortium of healthcare leaders announced the creation of the Trustworthy & Responsible AI Network (TRAIN), which aims to operationalize responsible AI principles to improve the quality, safety and...

DirectMed Imaging Acquires Titanium Medical Imaging

DirectMed Imaging –a supplier of aftermarket medical imaging parts, systems, and training – recently announced the acquisition of Houston-based Titanium Medical Imaging, a company with vast expertise in Canon/Toshiba medical parts and systems. With the addition of...

ECRI Releases Annual List Of 10 Patient Safety Threats

Challenges transitioning new clinicians from academic training to professional practice tops ECRI’s 2024 list of 10 patient safety concerns

Algomedica PixelShine

Algomedica PixelShine

PixelShine by Algomedica was developed using machine learning. It can improve the quality of any CT exam by reducing the inherent image noise during the image reconstruction process. This is particularly applicable to ultra-low dose CT scanning applications such as lung screening. Pixelshine empowers health care providers to acquire high-quality CT scans using substantially lower radiation dose. PixelShine is vendor agnostic and can enhance the quality of noisy CT scans acquired by all types of CT scanners, including older and refurbished models. PixelShine is fast, requires no user interaction and can be remotely installed. For more information, visit algomedica.com.

Previous

Next

Submit a Comment

Your email address will not be published. Required fields are marked *

Open