The perils and promises of generative artificial intelligence in neurointerventional surgery

被引：13

作者：

Ray, Tyler R. ^{[1
]}

Kellogg, Ryan T. ^{[2
]}

Fargen, Kyle M. ^{[3
]}

Hui, Ferdinand ^{[4
]}

Vargas, Jan ^{[5
,6
]}

机构：

[1] Univ Hawaii Manoa, Coll Engn, Dept Mech Engn, Honolulu, HI USA

[2] Univ Virginia, Dept Neurosurg, Charlottesville, VA USA

[3] Wake Forest Univ, Dept Neurol Surg & Radiol, Winston Salem, NC USA

[4] Queens Med Ctr Neurosci Inst, Neurointervent Surg, Honolulu, HI USA

[5] Prisma Hlth Upstate, Div Neurosurg, Greenville, SC USA

[6] Prisma Hlth Upstate, Surg, Greenville, SC 29605 USA

来源：

JOURNAL OF NEUROINTERVENTIONAL SURGERY | 2024年 / 16卷 / 01期

关键词：

Economics; Political; Standards; Technology; FRAUD;

D O I：

10.1136/jnis-2023-020353

中图分类号：

R445 [影像诊断学];

学科分类号：

100207 ;

摘要：

Generative artificial intelligence (AI) holds great promise in neurointerventional surgery by providing clinicians with powerful tools for improving surgical precision, accuracy of diagnoses, and treatment planning. However, potential perils include biases or inaccuracies in the data used to train the algorithms, over-reliance on generative AI without human oversight, patient privacy concerns, and ethical implications of using AI in medical decision-making. Careful regulation and oversight are needed to ensure that the promises of generative AI in neurointerventional surgery are realized while minimizing its potential perils. [ChatGPT authored summary using the prompt "In one paragraph summarize the promises and perils of generative AI in neurointerventional surgery".]

引用

页码：4 / 7

页数：5

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