人类和计算机的注意力在评估遗传条件时
Dat Duong1, Anna Rose Johny2, Suzanna Ledgister Hanchard1
1Medical Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland, United States of Americav.
medRxiv : the preprint server for health sciences
|August 14, 2023
概括
人工智能 (AI) 和遗传学中的深度学习 (DL) 与人类专家相比显示出不同的图像评估模式. 眼睛跟踪揭示了临床医生和人工智能如何关注遗传诊断的视觉数据的差异.
科学领域:
- 生物医学成像学 生物医学成像学
- 医学遗传学 医学遗传学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 和深度学习 (DL) 越来越多地应用于生物医学领域,特别是用于诊断图像评估的遗传学.
- 了解AI图像评估如何与人类视觉感知相比,对于将AI整合到临床实践中至关重要.
结论:
- 在医学遗传学图像分析中,人工智能和人类视觉感知并不一致.
- 需要进一步的研究来弥合人工智能和人类专业知识之间的差距,以获得可靠的诊断工具.
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