Rad AI Omni: The RANT Experience

A firsthand look at how one of the nation’s largest private radiology practices adopted AI across its organization. Dr. Nicholas Galante shares his experience with the deployment of Rad AI Omni at Radiology Associates of North Texas (RANT), including how initial skepticism gave way to trust and the impact AI has had on reporting efficiency, fatigue, accuracy and time spent interpreting images.

Objectives:

• Explore how a large radiology practice approached the adoption and deployment of AI across more than 225 radiologists.
• Understand what drives radiologist trust and adoption of AI in everyday reporting workflows.
• Hear firsthand how AI can reduce repetitive work, mental and voice fatigue, and reporting burden.
• Examine how AI-assisted reporting can improve efficiency and help radiologists focus more of their time and attention on image interpretation and patient care.

Speakers:

• Nicholas Galante, MD, Medical Director of Informatics, Radiology Associates of North Texas (RANT)
• Sonia Gupta, MD, Abdominal radiologist and AI thought leader
• ‍Jeff Chang, MD, Radiologist, co-founder and president, Rad AI