Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

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.

April 21, 2023
Tablet projecting metaphorical medical hologram

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.

April 19, 2023
pulmonary embolism on CT pulmonary angiography

AI work list prioritization tool significantly decreases PE turnaround times

The FDA-approved tool works by reprioritizing CTPA exams to the top of a radiologist’s work list when the scan is positive for PE.

April 5, 2023
Chest X-ray. Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiograph X-rays.. 

Radiologists develop point-of-care AI for chest X-rays

Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming. 

April 3, 2023
Consult

Structured reports with a 'forcing function' for recommendations improve follow-up adherence

In a study that included hundreds of radiologist recommendations for additional imaging, there was a threefold increase in follow-up adherence when radiologists utilized a voluntary closed-loop communication tool that required structured recommendations. 

March 31, 2023
Example of natural language processing converting the radiologist's dictation into text. This system from M-Model highlighted key words the artificial intelligence will use text in the report and for labeling the report file for later key word searches or data mining. 

How NLP can 'revolutionize' structured reporting

The continued emergence of natural language processing has caught the eye of experts in the field, with some suggesting its use could streamline the process of integrating structured reporting across the specialty. 

March 20, 2023
Hip skeleton

Traditional methods continue to outperform AI in some orthopedic scenarios

A new meta-analysis suggests that when it comes to hip fractures, AI algorithms do not always live up to their hype. 

March 17, 2023
Ransomware

Russian-speaking ransomware group leaks breast cancer patients' sensitive data

"We have been in your network a long time and have had time to study your business. We have stolen your confidential information and are ready to publish it," the ransomware group threatened.

March 13, 2023

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

Trimed Popup
Trimed Popup