在瘤学决策中整合人工智能驱动的可穿戴技术:叙述性审查
Meghna Birla1, Rajan2, Prabhat Gautam Roy1
1Department of Medical Oncology, DR. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Oncology
|July 29, 2024
概括
人工智能 (AI) 和可穿戴设备正在通过实现持续的患者监测和个性化治疗计划来彻底改变瘤学. 这种整合提高了癌症护理质量和患者的坚持,为先进的精准医学应用铺平了道路.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 瘤学中的临床决策是复杂的,涉及疾病因素,患者人口统计和物流.
- 人工智能 (AI) 正在推动精准医学向个性化护理迈进.
- 可穿戴设备提供持续的患者监测,早期干预和改善治疗坚持.
研究的目的:
- 审查可穿戴设备和人工智能在瘤学中的整合.
- 探索它们在患者监测,治疗优化和研究中的作用.
- 总结已完成的临床试验,并讨论实施挑战和未来的前景.
主要方法:
- 对AI和瘤学中可穿戴设备的现有文献和临床试验的审查.
- 分析患者监测,治疗计划和生物标志物检测中的应用.
- 讨论实施挑战,监管考虑和未来前景.
主要成果:
- 人工智能增强了精准医学的诊断,预后和治疗规划工具.
- 可穿戴技术通过持续监控来改善患者的参与和坚持.
- 结合人工智能和可穿戴设备有助于活动监测,脆弱性评估,化疗耐受性预测,生物标志物检测和坚持管理.
结论:
- 人工智能和可穿戴设备显著推进了个性化瘤护理.
- 挑战包括数据安全,隐私和设备标准化.
- 这些技术在未来可能彻底改变癌症护理的潜力是巨大的.
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