人工智能在医学和成像应用中的应用
1Department of Pharmaceutics, Babulal Tarabai Institute of Pharmaceutical Science, Sagar, M.P., 470228, India.
Current pharmaceutical design
|May 12, 2025
概括
人工智能 (AI) 通过提高速度和准确性来改变药物开发. 关键的挑战包括数据质量,道德考虑,以及理解人工智能的局限性,以成功实施.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算机科学 计算机科学
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 为药物开发提供了变革性的潜力,提供更快,更准确和更有效的结果.
- 人工智能在药物发现中的应用越来越受欢迎,为传统复杂和耗时的方法提供了替代方案.
- 机器学习 (ML) 和自然语言处理 (NLP) 可以通过大规模数据分析显著提高生产力和准确性.
研究的目的:
- 综合审查人工智能在药物发现和开发中的承诺.
- 探索AI在医学中的应用的社会影响,包括立法,伦理,隐私和公平性.
- 检查AI在药物输送系统,临床采用,医学成像和监管批准中的作用.
主要方法:
- 在制药研究和开发中对AI应用的文献综述.
- 对人工智能驱动的药物发现当前趋势和挑战的分析.
- 讨论AI在医学中的伦理,社会和监管方面.
主要成果:
- 人工智能,机器学习和NLP可以通过分析庞大的数据集来加速药物发现,提高效率和准确性.
- 为了有效地整合人工智能,必须解决重要的社会问题,包括道德困境,数据隐私和可解释性.
- 人工智能有望提高药物输送系统,临床决策和医学成像分析.
结论:
- 人工智能在药物开发中带来了范式的转变,提供了巨大的好处,但需要仔细考虑其局限性和社会影响.
- 解决与数据质量,道德框架和监管途径相关的挑战对于实现AI在医学中的全部潜力至关重要.
- 将人工智能集成到临床实践和医疗器械批准中,需要对其能力和风险有充分的了解.
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