Artificial Intelligence in Radiology Hub

AIR-Hub

Clinical AI, built for real-world radiology.

 

AIR-Hub develops, integrates, evaluates, and monitors artificial intelligence across the radiology workflow at UT Southwestern.

Explore Clinical AI

Clinical AI at Scale

AIR-Hub evaluates AI not only by model performance, but by physician adoption, workflow integration, reliability, safety, and measurable clinical and operational impact.

20K+

Imaging protocols / month

AI-assisted protocol optimization integrated with Epic.

20K+

Reports supported / month

AI-assisted reporting integrated into clinical workflows.

150+

Radiologists

Using AIR-Hub technology in routine clinical practice.

>10%

Reduction in reporting time

Measured in outpatient CT and MRI reports.

From Clinical Problem to Clinical Impact

AIR-Hub works across the complete lifecycle of clinical AI—from identifying unmet needs to monitoring performance after deployment.

01

IDENTIFY

Start with a real clinical problem or workflow bottleneck.

04

EVALUATE

Measure performance, adoption, usability, efficiency, and impact.

02

BUILD

Develop AI models, software, and workflow solutions.

05

MONITOR

Assess reliability, failure modes, safety, and performance changes.

03

INTEGRATE

Connect to EHR, PACS, Reporting systems using FHIR, HL7, DICOM and APIs.

06

SCALE

Expand successful systems across users and workflows.