Abstract：
OBJECTIVE: To investigate the capacity of chat-generative pre-trained transformer (Chat-GPT) to understand the S2k guideline of the German Society for Gynecology and Obstetrics on intrauterine growth restriction.
METHODS: The German-language free Chat-GPT version was used to test the ability of Chat-GPT to understand the definition of small for gestational age and intrauterine growth restriction, to indicate the correct time and place of delivery and to evaluate ist ability to recommend a spontaneous delivery versus a primary caesarean section in accordance with the guideline recommendations. In order to objectively evaluate the suggestions a simple three-color \'traffic light\' evaluation system was employed.
RESULTS: Almost all Chat-GPT\'s suggestions in the context of definition of small for gestational age/intrauterine growth restriction as well as correct time of delivery were adequate, whereas more than half of the suggestions made in terms of correct delivery mode needed reformulation or even correction.
CONCLUSIONS: Chat-GPT appears to be a valuable form of artificial intelligence that could be integrated into everyday clinical practice.
METHODS: The German-language free Chat-GPT version was used to test the ability of Chat-GPT to understand the definition of small for gestational age and intrauterine growth restriction, to indicate the correct time and place of delivery and to evaluate ist ability to recommend a spontaneous delivery versus a primary caesarean section in accordance with the guideline recommendations. In order to objectively evaluate the suggestions a simple three-color \'traffic light\' evaluation system was employed.
RESULTS: Almost all Chat-GPT\'s suggestions in the context of definition of small for gestational age/intrauterine growth restriction as well as correct time of delivery were adequate, whereas more than half of the suggestions made in terms of correct delivery mode needed reformulation or even correction.
CONCLUSIONS: Chat-GPT appears to be a valuable form of artificial intelligence that could be integrated into everyday clinical practice.
摘要：
目的：研究聊天生成预训练变压器（Chat-GPT）的能力，以了解德国妇产科学会关于宫内生长受限的S2k指南。
方法：使用德语免费的Chat-GPT版本来测试Chat-GPT理解胎龄小和宫内生长受限定义的能力，指示正确的分娩时间和地点，并根据指南建议评估推荐自然分娩与初次剖宫产的能力。为了客观地评估建议，采用了简单的三色“交通信号灯”评估系统。
结果：在定义小于胎龄/宫内生长受限以及正确的分娩时间方面，几乎所有Chat-GPT的建议都是足够的，而在正确的交付模式方面，超过一半的建议需要重新制定甚至纠正。
结论：Chat-GPT似乎是一种有价值的人工智能形式，可以融入日常临床实践。
方法：使用德语免费的Chat-GPT版本来测试Chat-GPT理解胎龄小和宫内生长受限定义的能力，指示正确的分娩时间和地点，并根据指南建议评估推荐自然分娩与初次剖宫产的能力。为了客观地评估建议，采用了简单的三色“交通信号灯”评估系统。
结果：在定义小于胎龄/宫内生长受限以及正确的分娩时间方面，几乎所有Chat-GPT的建议都是足够的，而在正确的交付模式方面，超过一半的建议需要重新制定甚至纠正。
结论：Chat-GPT似乎是一种有价值的人工智能形式，可以融入日常临床实践。
