Modification and Validation of the System Causability Scale Using AI-Based Therapeutic Recommendations for Urological Cancer Patients: A Basis for the Development of a Prospective Comparative Study

The integration of artificial intelligence, particularly Large Language Models (LLMs), has the potential to significantly enhance therapeutic decision-making in clinical oncology. Initial studies across various disciplines have demonstrated that LLM-based treatment recommendations can rival those of...

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Bibliografiske detaljer

Principais autores:	Emily Rinderknecht, Dominik von Winning, Anton Kravchuk, Christof Schäfer, Marco J. Schnabel, Stephan Siepmann, Roman Mayr, Jochen Grassinger, Christopher Goßler, Fabian Pohl, Peter J. Siska, Florian Zeman, Johannes Breyer, Anna Schmelzer, Christian Gilfrich, Sabine D. Brookman-May, Maximilian Burger, Maximilian Haas, Matthias May
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-11-01
Serier:	Current Oncology
Fag:	artificial intelligence integration large language models multidisciplinary tumor boards non-inferiority CONCORDIA Trial SCS urological cancer treatment
Online adgang:	https://www.mdpi.com/1718-7729/31/11/520
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