预测全厚黄斑孔修复手术的术后结果:聊天GPT与临床决定
Aya Wattad1, Razan Saadi1, Maxim Bez1
1Ophthalmology Division, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Retina (Philadelphia, Pa.)
|January 22, 2026
概括
聊天GPT-5在预测全厚黄斑孔手术结果方面显示出高准确度,但这受乐观偏差的影响. 在临床应用之前需要进一步的研究.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能在医学中的应用
- 外科手术的结果
背景情况:
- 全厚黄斑孔 (FTMH) 手术的目的是通过关闭孔来恢复视力.
- 准确预测手术结果对于患者管理和预期至关重要.
- 人工智能 (AI) 在预测眼科手术结果中的作用是一个新兴领域.
研究的目的:
- 评估ChatGPT-5在FTMH手术后预测长期解剖和功能结果的能力.
- 将ChatGPT-5的预测性能与高级视网膜专家进行比较.
- 评估人工智能预测与实际患者结果的真实准确性.
主要方法:
- 对50只眼睛进行了为FTMH进行帕斯普拉纳视切除术的回顾性分析.
- 将非识别的临床数据和OCT图像输入到ChatGPT-5以预测结果.
- 将AI预测与实际的12个月结果和专家评估进行比较.
主要成果:
- 解剖学预测准确度:ChatGPT-5的90%与专家的72-86%相比.
- 功能性结果预测准确度:ChatGPT-5的66%,专家的42-44%.
- 聊天GPT-5显示出乐观偏见,高估了关闭和视觉恢复,特别是在非关闭的情况下.
结论:
- 聊天GPT-5在预测FTMH手术结果方面表现出很高的明显准确性.
- 人工智能模型的预测受到乐观偏见的影响,高估了积极的结果.
- 缺乏临床判断;在潜在的临床使用之前,需要进行更大的前性研究.
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