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Transformative Trends: Generative AI's Impact on Biochemistry and Clinical Chemistry.

Authors :
Salami, Siamak
Source :
Acta Biochimica Iranica; 2024, Vol. 2 Issue 1, p1-3, 3p
Publication Year :
2024

Abstract

This article discusses the impact of generative artificial intelligence (AI) on biochemistry and clinical chemistry. It explains that AI technologies, such as generative AI, natural language processing (NLP), and large language models (LLMs), have revolutionized research, analysis, and diagnosis in laboratory medicine. These technologies enhance efficiency, accuracy, and the overall quality of research and diagnostic processes. Practical applications include using generative AI models to assist in drafting research articles, employing NLP algorithms for literature reviews, and utilizing LLMs for data analysis and content generation. However, the integration of AI in laboratory medicine also raises ethical concerns, such as potential bias in training data and the need for transparency and interpretability. It is important for biochemists and clinical chemists to navigate these challenges and leverage AI technologies responsibly to advance scientific inquiry. [Extracted from the article]

Details

Language :
English
ISSN :
00015261
Volume :
2
Issue :
1
Database :
Complementary Index
Journal :
Acta Biochimica Iranica
Publication Type :
Academic Journal
Accession number :
177986721