核医学的新兴趋势:放射性药品的突破,Geant4模拟和AI集成
Milan Singh1, D P Singh1, Kailash Pandey1
1Department of Physics, UPES, Dehradun, India.
Isotopes in environmental and health studies
|November 14, 2025
概括
核医学在放射性药物方面取得了进展,人工智能增强了癌症和疾病治疗. 研究审查了射线追踪器,计算建模和人工智能,突出了它们在诊断和治疗中的作用.
科学领域:
- 核医学就是核医学.
- 医疗成像医学成像
- 放射性药物疗法是一种放射性药物疗法.
背景情况:
- 由于放射性药物,计算建模和人工智能 (AI),核医学已经取得了重大进展.
- 这些创新已经扩大了癌症以外的应用范围,包括心血管,神经和传染病.
- 该审查侧重于无线电追踪器,其生产,市场趋势以及印度的基础设施举措.
研究的目的:
- 提供放射性追踪物及其不断发展的临床应用的深入审查.
- 讨论计算建模,特别是Geant4在辐射剂量计中的作用.
- 探索人工智能在核医学中的影响和挑战.
主要方法:
- 关于放射性药物,计算建模和核医学中的AI的综合文献综述.
- 对关键同位素 (131I,99mTc,18F,11C) 和它们不断变化的临床实用性的分析.
- 讨论医疗成像和治疗规划中的Geant4模拟,人类幽灵和AI方法.
主要成果:
- 放射性药物,包括有机基分子,提高药物输送特异性,降低毒性.
- Geant4模拟与人类幻影相结合,提高了辐射剂量计的准确性.
- 人工智能为自动化,诊断准确性和个性化治疗提供了新的可能性,尽管存在数据偏差和解释性等挑战.
结论:
- 核医学的跨学科进步正在重新定义诊断,并提高治疗成功.
- 未来的研究应该解决计算建模和AI实施的局限性.
- 新兴技术有望提供更多个性化,精简和可访问的医疗保健解决方案.
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