人工智能在核医学中的演变
Leonor Lopes1, Alejandro Lopez-Montes2, Yizhou Chen1
1Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
Seminars in nuclear medicine
|February 11, 2025
概括
人工智能 (AI) 正在彻底改变核医学,改善诊断,治疗和成像. 解决数据和伦理挑战将加速人工智能采用,以改善患者护理.
科学领域:
- 核医学是一种核医学.
- 人工智能的人工智能是人工智能.
- 医学成像医学成像
背景情况:
- 核医学不断发展,改善疾病的诊断和治疗.
- 人工智能 (AI) 的整合标志着该领域的重大进展.
- 人工智能有望在诊断,预后,细分,图像增强和异能学方面取得突破.
研究的目的:
- 审查人工智能在核医学方面的进展和影响.
- 要突出从机器学习到深度学习和生成AI的演变.
- 讨论AI在临床实践中的挑战和未来方向.
主要方法:
- 核医学中人工智能应用的审查,包括机器学习和深度学习.
- 分析诊断准确性,图像细分,低剂量成像和剂量测量方面的进展.
- 探索用于医学语言和图像处理的生成AI.
主要成果:
- 人工智能通过机器学习提高了诊断准确度和结果预测.
- 深度学习模型 (CNN,变压器) 增强了细分,低剂量成像和个性化剂量测量.
- 生成型人工智能促进复杂的医学语言和图像生成和解释.
结论:
- 人工智能集成为增强核医学诊断和治疗提供了巨大的潜力.
- 克服数据稀缺性,异质性和道德问题等挑战对于临床翻译至关重要.
- 跨学科的合作是实现更广泛的人工智能采用和改善患者治疗结果的关键.
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