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.

New teleradiology solution promises to streamline enterprise imaging operations
Konica Minolta and NewVue announced their collaboration on cloud-based Exa Teleradiology earlier this week.
Fine-tuned LLMs show great promise for spotting radiology report errors
Report errors can result in incorrect or delayed diagnoses and significantly impact disease management.
Predictive model cuts back on unnecessary imaging requests for headaches in the ED
Headaches are a common complaint among patients presenting to the emergency department, with millions of cases documented annually in the United States.
First-of-its-kind framework monitors real-time performance of radiology AI tools
The program provides detailed assessments of how algorithms implemented into workflows are impacting efficiency and outcomes.
Philips announces strategic partnership aimed at advancing AI in MRI
The collaboration with Nvidia—a leader in AI solutions—was unveiled Monday during the International Society for Magnetic Resonance in Medicine's annual meeting.

Enterprise-wide Advanced Visualization: Maximizing Clinical & Business Benefits

New teleradiology solution promises to streamline enterprise imaging operations

Konica Minolta and NewVue announced their collaboration on cloud-based Exa Teleradiology earlier this week.

Fine-tuned LLMs show great promise for spotting radiology report errors

Report errors can result in incorrect or delayed diagnoses and significantly impact disease management.

Predictive model cuts back on unnecessary imaging requests for headaches in the ED

Headaches are a common complaint among patients presenting to the emergency department, with millions of cases documented annually in the United States.

AI healthcare doctor surgery procedure artificial intelligence

First-of-its-kind framework monitors real-time performance of radiology AI tools

The program provides detailed assessments of how algorithms implemented into workflows are impacting efficiency and outcomes.

Philips announces strategic partnership aimed at advancing AI in MRI

The collaboration with Nvidia—a leader in AI solutions—was unveiled Monday during the International Society for Magnetic Resonance in Medicine's annual meeting.

'ThyGPT' slashes rates of thyroid nodule biopsies

Use of the model could reduce unnecessary thyroid nodule biopsies by 40% or more, researchers suggest.

radiology report bubbles translate informatics imaging

AI-enabled platform that simplifies MRI reports expands into other modalities

This expansion comes alongside a growing trend of patients being given near immediate access to their imaging and radiology reports.

American-made GPT-4 knows no borders, translates radiology reports into different languages

New research highlights the potential of GPT-4 to enhance radiologists’ communication of findings in clinical environments across the pond.