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Updated: Jun 5, 2026

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机器学习和人工智能用于乳腺癌查的过去,现在和未来

Natalie Baughan¹, Lindsay Douglas¹, Maryellen L Giger¹

¹University of Chicago, Department of Radiology Committee on Medical Physics, Chicago, IL, USA.

Journal of breast imaging

|February 28, 2024

概括

通过提高图像分析和效率,人工智能 (AI) 正在改变乳腺癌查. 未来的AI系统旨在帮助甚至超过人类放射科医生,但广泛临床采用仍然面临挑战.

科学领域:

放射学放射学是一门学科.
医疗成像医学成像
人工智能的人工智能

背景情况:

由于新的成像技术和人工智能 (AI) 算法,乳腺癌查已经显著进步.
人工智能在乳腺癌查和诊断中的作用已经发展,提供了提高图像解释效率和客观性的潜力.

结论:

人工智能具有改善乳腺癌查结果的巨大潜力.
解决可解释性,可解释性,可重复性和可概括性等挑战对于自主AI阅读器实现至关重要.
确保AI在不同人群中的临床益处对于其成功融入乳腺癌查计划至关重要.

关键词:

人工智能的人工智能是人工智能.乳房成像检查乳房成像检查计算机辅助诊断是指计算机辅助的诊断.机器学习是机器学习.查检查查检查查检查查检查

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