Harnessing artificial intelligence for breakthroughs in lung cancer management: are we ready for the future?

Autor:	Bertolaccini, Luca, Guarize, Juliana, Diotti, Cristina, Donghi, Stefano Maria, Casiraghi, Monica, Mazzella, Antonio, Spaggiari, Lorenzo
Předmět:	ARTIFICIAL neural networks ARTIFICIAL intelligence GENERATIVE artificial intelligence MACHINE learning NATURAL language processing BRONCHOSCOPY THORACIC surgery PULMONARY nodules
Zdroj:	Frontiers in Oncology; 2024, p1-5, 5p
Abstrakt:	This article explores the potential uses of artificial intelligence (AI) in managing lung cancer. AI algorithms, such as machine learning and deep learning, have shown promise in detecting and characterizing lung nodules, improving screening and diagnosis. AI models can also predict treatment responses and guide therapy selection, optimize radiation therapy, and assist in bronchoscopy and thoracic surgery. However, the introduction of AI in healthcare raises ethical and legal concerns, such as patient autonomy, bias, and liability. More research is needed to evaluate the effectiveness of AI-assisted techniques and their impact on patient outcomes. Overall, integrating AI into clinical practice has the potential to improve patient outcomes and redefine modern medicine. [Extracted from the article]
Databáze:	Complementary Index
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