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