机器学习和人工智能在癌症诊断,预测和治疗选择方面:一种关键的方法
Bo Zhang1, Huiping Shi1, Hongtao Wang2
1Jinling Institute of Science and Technology, Nanjing City, Jiangsu Province, People's Republic of China.
Journal of multidisciplinary healthcare
|July 3, 2023
概括
人工智能 (AI) 和机器学习 (ML) 在提高癌症预测准确度方面表现有前途. 这些技术可以提高早期诊断,预后和治疗选择,以获得更好的患者结果.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
背景情况:
- 癌症仍然是一个重大的全球健康挑战,需要更加精确和个性化的患者护理.
- 当前的诊断和治疗策略虽然取得了进展,但在实现最佳患者结果方面仍然存在局限性.
- 人工智能 (AI) 为提高癌症管理的准确性和效率提供了潜在的解决方案.
研究的目的:
- 检查AI和机器学习 (ML) 算法在癌症预测中的应用.
- 审查AI和ML在瘤学中的当前用途,挑战和未来方向.
- 突出AI和ML在改善癌症诊断,预后和治疗选择方面的潜力.
主要方法:
- 对用于癌症预测的AI和ML算法的审查.
- 分析AI在风险评估,早期诊断,预后估计和治疗选择中的作用.
- 评估AI和ML在预测各种癌症类型方面的表现.
主要成果:
- 人工智能和ML在预测各种癌症方面表现出高效,包括乳腺癌,脑癌,肺癌,肝癌和前列腺癌.
- 研究表明,与人类临床医生相比,AI和ML可以在癌症预测中实现更高的准确性.
- 这些技术显示出超越癌症的潜力,改善了各种疾病的诊断和预后.
结论:
- 人工智能和机器学习是促进癌症预测和患者护理的强大工具.
- 人工智能和机器学习技术的持续开发和改进对于实现它们在医学中的全部潜力至关重要.
- 人工智能和ML的整合有望个性化和优化癌症治疗策略,改善患者的治疗结果.
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