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Updated: Jan 31, 2026

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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人工智能与古典评分系统相比:对皮肤穿透性神经质切除术后无石头预测的比较分析

Burak Elmaağaç1, Ali Yasin Özercan2, Abdullah Gölbaşı3

  • 1Kayseri Faculty of Medicine, Department of Urology, Health Sciences University, Kayseri, Türkiye. burak.elmaagac@sbu.edu.tr.

Urolithiasis
|January 30, 2026
PubMed
概括

传统的石头评分系统准确地预测了穿皮瘤切除术后的结果,而ChatGPT在本研究中显示了无石头率的有限预测性能.

关键词:
人工智能的人工智能是人工智能.聊天GPT 聊天 在GPT 聊天这个家伙的石头得分.机器学习 机器学习通过皮肤进行神经质切除术.这就是S.T.O.N.E.E.的意思.没有石头的利率.乌罗石质病是一种质病.

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