人工智能:的基本原理和突破性应用
Wesley Kerr1,2, Sandra Acosta3,4, Patrick Kwan5
1Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Epilepsy currents
|November 18, 2024
概括
人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 正在彻底改变研究和护理. 这些先进的计算方法为查药物,预测治疗反应和分析EEG数据提供了新的方法,改变了发病学.
科学领域:
- 神经科学是一个神经科学.
- 计算医学是一种计算医学.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 越来越多地融入医疗领域.
- 由于这些计算方法,病学在研究和临床环境中都取得了重大进展.
研究的目的:
- 在研究和临床护理中传播AI,ML和DL方面的知识.
- 介绍这些技术的最新应用,优势和局限性.
- 关于人工智能在瘤学中的当前和未来应用的结论.
主要方法:
- 解释AI,ML和DL的基本原则.
- 对神经器官和的药物查中尖端应用的审查.
- 分析AI在预测治疗临床反应中的作用.
- 探索人工智能在EEG信号检测和分析中的应用.
主要成果:
- 在研究的各个方面,AI,ML和DL正在展示显著的潜力.
- 应用包括药物查,治疗反应预测和先进的脑电图分析.
- 这些技术正在提高瘤学中的诊断和治疗能力.
结论:
- AI,ML和DL准备在未来十年改变研究和患者护理.
- 这些工具将补充,而不是取代人类临床医生和研究人员的努力.
- 人工智能的持续发展和整合将对瘤学未来的进步至关重要.
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