Per-Study and Bundled Deals Dominate as Imaging AI Remains a Discretionary Spend CHICAGO, ILLINOIS / ACCESS Newswire / ...

Rad AI CEO said the company build technology "so that radiologists can return focus to diagnosis, not documentation." ...

This report, published by Towards Healthcare a sister firm of Precedence Research provides a concise and data-driven overview ...

AI diagnostic tools are being used by healthcare providers yet demand for skilled human specialists is growing ...

By training vision-language models on large numbers of radiological images and their written radiology reports, the hope is ...

By integrating workflow analytics, Rad AI's reporting engine goes beyond speech recognition, where radiologists spend unnecessary time dictating redundant information, such as "pertinent negatives" or ...

IntelePeer's agentic AI is engineered to close these operational gaps by automating patient interactions end-to-end -- from inbound calls and scheduling to reminders, insurance verification, payment ...

Most RSNA 2025 - affiliated radiologists report unapproved AI tools in daily use; fewer than one in five say their organizations strongly enforce a policy on public LLMs.

Companies in November announced new efforts to fine-tune foundational models to advance radiology intelligence and implement ...

The a2z-Unified-Triage device is designed to simultaneously flag and prioritise seven urgent findings on abdomen-pelvis CT ...

As artificial intelligence evolves and advances the ways in which clinicians care for patients, there will be new impacts on outpatient radiology technology. Already, AI in outpatient radiology ...

Adoption of artificial intelligence tools in health care lags other industries; within health care, nursing and residential care is even further behind.