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Francesco Chiumento

Project Title

Specialized LLMs for Medical Imaging Diagnostics

Project Description

The integration of Large Language Models (LLMs) in healthcare has revolutionized various aspects of patient care and medical research. Notably, general-purpose LLMs have demonstrated potential in natural language processing tasks within healthcare settings. However, their application in medical imaging remains underexploited. Current LLMs are not adept at processing and interpreting complex visual data, leading to a significant gap in their utility for diagnostic accuracy in medical imaging. This research aims to bridge this gap by developing and evaluating a specialized LLM tailored for medical imaging diagnostics. This is crucial for enhancing diagnostic precision and reliability, which are pivotal in improving patient outcomes and supporting clinical decision-making processes. By focusing on this specialization, the proposed research seeks to establish a foundation for future innovations in AI-driven diagnostic technologies, ensuring they meet the high standards required in medical practices