The federal insurance program for seniors will pay a maximum of $137.53 per case for Aidoc's CARE (Clinical AI Reasoning Engine) Multi-Triage CT Body tool. 
 

Rather than moving quickly to adopt new tools, the Tucson, Arizona-based doc-certification organization is studying developments, engaging experts and establishing guardrails before introducing any change.  

Experts believe AI's performance on a diverse dataset gives it an edge over other prediction models in real world settings. 

New survey data suggest that although AI tools have improved certain aspects of breast cancer screening processes, the benefits have not yet translated into improved outcomes. 

Rather than focusing solely on individual algorithm performance, the initiative will examine whether AI-enabled workflows actually improve clinical outcomes.

 The two-page explainer explores AI’s role in the specialty, the purpose of these summaries and now they can guide discussions with caregivers. 

The inclusion of clinical indication is standard for imaging requisitions, but the information provided is often vague and leaves out useful context that could help radiologists. 

The model has the potential to improve upon the one-size-fits-all dosing approach used for most RPT prostate cancer treatments. 

The society said this is its first AI challenge that will use medical images, along with radiology reports, to train models. 

A new paper in Radiology: Artificial Intelligence details how an AI-driven CT queue prioritization system can improve patients’ time to diagnosis without requiring additional imaging equipment or staffing.