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Navigating the Future of Pediatric Cardiovascular Surgery: Insights and Innovation Powered by Chat Generative Pre-Trained Transformer (ChatGPT)

Submitted by: Mujtaba MubashirGold Contributor

Source: The Journal of Thoracic and Cardiovascular Surgery

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Author(s): Rittal Mehta, Justus G. Reitz, Alyssia Venna, Arif Selcuk, Bishakha Dhamala, Jennifer Klein, Christine Sawda, Mitchell Haverty, Can Yerebakan, Aybala Tongut, Manan Desai, Yves d’Udekem

This article summarizes the use of artificial intelligence (AI) using ChatGPT to correlate decision-making in a pediatric surgery cardiovascular surgery conference by comparing expert consensus with results from ChatGPT. A total of 37 cases of varying complexity were submitted to ChatGPT, and the software was asked to summarize the case, provide a diagnosis, and suggest a treatment plan, including possible surgical options. Interestingly, there was a consensus on treatment plan approximately 94 percent of the time for simple cases; however, this dropped to only 25 percent for complex cases. This study further highlights the role of AI in medical decision-making, emphasizing its potential as a tool that can aid the medical community and the public in some ways while also cautioning against its pitfalls, which could lead to misinformation and inaccuracies. 

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