Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

AI-based prostate cancer management technology makes official debut in clinical settings

The recently FDA-cleared program merges patient-specific information from prostate imaging, biopsies and pathology, resulting in a deep learning algorithm that creates an AI-generated 3D map of cancer.

ChatGPT to be utilized in new medical imaging app for patients

AI chatbot ChatGPT is making its official debut in medical imaging by way of a new app that can be utilized by anyone with a smartphone. 

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Large study reiterates the necessity of 'prudent use' of CT scans in children

Those who undergo repeated exams before the age of 6 face almost double the risk of later developing intracranial tumors, leukemia or lymphoma, according to new data.

Sectra to implement enterprise imaging SaaS in the cloud with Parkview Health in the US

International medical imaging IT and cybersecurity company Sectra (STO: SECT B) will implement its enterprise imaging cloud subscription service, Sectra One Cloud, at Parkview Health in the US. This will allow the Indiana-based health system future scalability as imaging volumes grow and will ensure data security in a fully managed cloud environment.

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'Fictitious references' and 'significant inaccuracies' could hinder ChatGPT's medical writing career

Despite being widely praised by many of its users, ChatGPT recently left much to be desired by experts who compared the chatbot’s medical writing alongside that of seasoned professionals.

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AI model identifies radiologist-recommended follow-up imaging in reports, has potential for widespread use

New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.

Decreasing energy consumption in radiology: How one hospital reduced use and saved big

Energy consumption reduction tactics could decrease greenhouse gas emissions owed to radiology while also saving departments tens of thousands of dollars every year. 

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Experts developed a deep learning model that can estimate breast density

When tested, the model achieved a performance comparable to that of human experts.

Around the web

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.