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@ShahidNShah
What LLMs can do for Radiologists, and for the Radiologist Shortage
Large language models are fast becoming a key building block in new information systems for administrative staff and clinicians at hospitals and health systems. This form of artificial intelligence can accomplish tasks no human being can imagine doing.Harrison.ai develops artificial intelligence technology to speed clinical diagnosis and offers a suite of AI radiology and pathology tools. They're designed to improve efficiencies for physicians to help address burnout.Healthcare IT News spoke with Dr. Aengus Tran, cofounder and CEO of Harrison.ai, to talk about LLMs and radiology: why they're a good fit, what genAI models can do for a radiologists, how a radiologist can be assured of their quality and accuracy – and how adoption of LLMs for radiology can help address the radiologist shortage.
Medigy Insights
Large language models have the potential to address some of radiology's most pressing challenges. While many of the AI models that have made inroads in healthcare are only capable of predefined tasks, advancements in machine learning are enhancing new models' ability to undergo continuous learning and generalize to areas in which the model has not been trained.This is a transformative next step for AI in healthcare – an industry where drawing conclusions based on previous experience and knowledge in the face of new and unknown conditions is critical to providing the right care for patients.
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