癌症诊断和治疗中的人工智能:现状和未来的前景
Muhammad Sufyan1, Zeeshan Shokat1, Usman Ali Ashfaq1
1Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan.
Computers in biology and medicine
|September 9, 2023
概括
人工智能 (AI) 和机器学习 (ML) 为早期癌症检测和个性化治疗提供了强大的工具. 这些技术有助于识别遗传变异和药物标,改善患者的治疗结果,尽管目前的实施挑战.
科学领域:
- 瘤学和医疗信息学
- 计算生物学和生物信息学
背景情况:
- 癌症是一种复杂的多因素疾病,由于众多的遗传和表观遗传因素,经常被晚诊.
- 人工智能 (AI) 和机器学习 (ML) 提供先进的计算方法来应对复杂的医疗保健挑战.
研究的目的:
- 探索AI和ML在癌症研究中的潜力,从诊断到个性化治疗.
- 突出人工智能在支持医疗专业人员和改善瘤学患者治疗结果方面的作用.
主要方法:
- 审查AI和ML在分析癌症研究大型数据集中的应用.
- 检查AI用于药物标识和理解药物与生物体相互作用的协同方法.
- 评估多目标药物发现的计算算法.
主要成果:
- 人工智能和机器学习可以识别基因变异和其他关键因素,用于早期癌症诊断.
- 这些技术促进了药物向采矿,作用机制分析和药物与生物体相互作用研究.
- 人工智能集成在支持瘤学家临床决策方面表现有前途.
结论:
- 人工智能和机器学习具有巨大的潜力,可以彻底改变癌症的诊断,治疗和评估.
- 克服人工智能实施当前的挑战对于其广泛的临床采用至关重要.
- 未来的方向指向增强人工智能驱动的癌症干预和改善患者护理.
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