Rad AI, the leader in AI-powered radiology workflow solutions, announced the launch of next-generation speech recognition technology (patent pending) that dramatically improves the speed and accuracy of diagnostic reporting. Integrated into Rad AI Reporting, the new capabilities deliver unprecedented speed and accuracy, setting a new standard for dictation in radiology.

This innovation reflects Rad AI's continued commitment to solving radiology's biggest bottlenecks – time, accuracy and documentation quality – by embedding intelligence directly into the workflow. The new system doesn't just transcribe words; it understands clinical context, recognizes uniqueness and adapts to how each radiologist works.

"The foundation of great radiology care is a fast, accurate report," said Doktor Gurson, CEO of Rad AI. "Today, radiologists are limited by reporting tools that simply transcribe words but don't understand the user behind them – still missing subtleties, struggling with clinical terminology, and forcing radiologists to spend valuable time correcting basic errors. We built this technology to understand context so that radiologists can return focus to diagnosis, not documentation."

Traditional speech recognition systems rely on a single application that often struggles with diverse accents, overlapping speech and the complexity of medical terminology. Rad AI's new multi-model architecture overcomes those limitations by combining multiple speech engines powered by Rad AI's proprietary modeling and unique "voting" algorithm that determines the most accurate understanding in real time.

This approach ensures consistent, high-fidelity results across all reading environments, from quiet reading rooms to challenging acoustic conditions, such as emergency department workstations. Fine-tuned language models handle radiology-specific terminology, measurements, modifiers and even context-based interpretation cues such as laterality and sequence timing.

In early evaluations of Rad AI's speech model, radiologists reported markedly fewer dictation errors, more natural transcription flow and a smoother experience overall.

"Every innovation we build starts from the same question: what slows radiologists down?" added Gurson. "From AI-driven impression generation to now speech intelligence, we're removing friction from the reporting process so radiologists can spend more time on what matters most – their patients."