Next-Generation Intelligent Radiology Reporting Software to Save Time and Reduce Burnout

A next-generation intelligent radiology reporting software featuring generative AI capabilities aims to move radiology reporting from stagnation to innovation.

Rad AI (San Francisco, CA, USA) has introduced Rad AI Omni Reporting, a next-generation intelligent radiology reporting solution adopted by leading radiology practices across the United States. In 2020, Rad AI introduced Omni Impressions, which automatically generates personalized radiology report impressions from radiologist-recorded findings and clinical indications, powered by advanced neural networks. This dynamic system adapts to individual radiologists' exact language preferences by learning from their past reports to create an impression for simple review and finalization.

Rad AI Continuity completes the cycle for follow-up recommendations pertaining to significant incidental findings in radiology reports. Through AI-driven automation, Continuity guarantees the communication and completion of appropriate patient follow-up. This advancement enhances patient outcomes, reduces health system liabilities, and generates new financial value for healthcare systems and radiology practices. Rad AI Nexus is an AI-enabled dynamic worklist designed from scratch by radiologists. Prioritizing performance, minimal workflow disruption, and AI-guided optimal case assignments, Nexus guarantees each radiologist access to the right study at the right time. Radiology practices embracing Nexus report a productivity surge of 15%, viewing it as the superior, faster, and more intelligent worklist. Rad AI plans to make Omni Reporting accessible for commercial use throughout the United States at this year's Radiological Society of North America (RSNA) Annual Meeting.

"We are thrilled to announce our Launch Day event for Omni Reporting, our transformative reporting software. On September 27, 2023, we'll showcase how our pioneering work in generative AI led us to create a reporting solution that radiologists will love," said Dr. Jeff Chang, ER radiologist and co-founder of Rad AI. "Being a radiologist-led and radiologist-focused company, we understand the importance of AI solutions that save radiologists time, reduce fatigue and burnout, and radically improve our daily experience."

"Rad AI is uniquely positioned to transform the radiology reporting landscape," said CEO Doktor Gurson. "Having been the pioneer in introducing large language models (LLMs) to radiology in 2018 with our Rad AI Omni Impression solution, we're now expanding the use of our technology across various facets of the radiology reporting workflow and are harnessing the power of generative AI in truly novel and transformative ways to empower radiologists. By ushering in the next generation of radiology reporting and taking radiology reporting from stagnation to innovation, we will improve the lives of radiologists and patients across the globe."

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