Opportunities and Challenges of Large Model Language in Medical Records
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- Category: Vol. 91, December 2023
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Opportunities and Challenges of Large Model Language in Medical Records
Abstract
The integration of large language models (LLMs) into medical practice promises significant advancements in health- care delivery and patient outcomes. This article aims to explore the potential benefits, challenges, and ethical considerations of implementing LLMs in medicine. Methods include a com-prehensive review of existing literature on LLM applications in healthcare, focusing on areas such as diagnostic accuracy, disease progression prediction, and clinical decision support. Results indicate that LLMs can enhance medical practice by processing vast amounts of medical data, providing valuable insights, and supporting various medical disciplines through specialized knowledge development. However, the success-ful implementation of LLMs requires addressing several key challenges, including the risk of over-reliance on AI, poten-tial biases in AI-generated outputs, and significant cost and resource implications. Ensuring fairness and equity through fairness-aware machine learning and counterfactual fairness, maintaining transparency, and adhering to data privacy regula-tions are critical. The conclusion underscores the importance of robust evaluation metrics, interdisciplinary collaboration, con-tinuous professional training, and the development of a com-prehensive regulatory framework. These measures are essential to ensure that LLMs are integrated into medical practice safely, ethically, and effectively, ultimately enhancing patient care and advancing medical knowledge responsibly