Rad AI has introduced its next-generation speech recognition technology, designed to improve the speed and accuracy of diagnostic reporting of its Rad AI Reporting system.
The company noted that its next-generation radiology report dictation system understands clinical context, recognizes uniqueness, and adapts to individual radiologists.
The system's multimodal architecture is designed to deal accurately with diverse accents, overlapping speech, and the complexity of medical terminology. Fine-tuned language models handle radiology-specific terminology, measurements, modifiers, and content-based interpretation cues such as laterality and sequence timing.
New key features include a proprietary algorithm which dynamically compares multiple transcriptions simultaneously to select the most accurate output, custom fine-tuned language models, real-time analytics, and sub-second latency-free transcription within the existing Rad AI Reporting interface.
