用人工智能和增强现实检测和管理转移性癌症 (评论)
Hanisha Reddy Kukunoor1, Adithya Andanappa2, Kaushalendra Mani Tripathi3
1Department of Internal Medicine, Maheshwara Medical College and Hospital, Hyderabad, Telangana 502307, India.
Medicine international
|February 2, 2026
概括
人工智能 (AI) 和增强现实 (AR) 正在彻底改变转移性癌症的检测和治疗. 这些技术改善了早期诊断,个性化治疗,并提高了外科手术的精度,尽管在广泛的临床采用方面仍然存在挑战.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 转移性癌症是癌症死亡的主要原因,通常是由于晚期检测和治疗阻力.
- 目前的管理面临疾病复杂性和治疗局限性的挑战.
研究的目的:
- 探索人工智能 (AI) 和增强现实 (AR) 对转移性癌症检测和管理的变革性影响.
- 突出AI和AR在改善诊断准确性,治疗个性化和手术干预方面的潜力.
主要方法:
- 审查人工智能驱动的工具,如放射学,深度学习和预测分析,用于早期转移性病变的识别.
- 在图像引导手术,实时瘤可视化和患者教育中分析AR应用.
- 整合多模式数据 (临床,成像,分子) 以支持个性化治疗策略.
主要成果:
- 人工智能通过整合各种数据来增强早期检测,诊断准确度和个性化治疗计划.
- 增强视觉增强可以提高手术精度,实时可视化和临床决策.
- 结合AI和AR促进协作和全面的治疗计划,可能改善患者的治疗结果.
结论:
- 人工智能和AR在转移性癌症护理方面取得了重大进展,改善了早期检测,治疗个性化和手术结果.
- 挑战包括算法偏见,数据质量,隐私问题和监管障碍.
- 未来的工作必须专注于透明的AI模型,数据安全和增强的AR可用性,以公平有效地整合到临床实践中.
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