在医疗保健中整合人工智能:应用,挑战和未来方向
Peng Lean Chong1, Vikneswaran Vaigeshwari1, Basir Khan Mohammed Reyasudin2
1School of Engineering and Computing, MILA University, Nilai, Negeri Sembilan, Malaysia.
Future science OA
|July 5, 2025
概括
人工智能 (AI) 增强了医疗诊断,改善了癌症检测,牙科护理和个性化治疗规划. 解决人工智能挑战,如数据隐私和偏见,对于推进精准医学至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 人工智能 (AI) 在彻底改变医学诊断方面显示出显著的前景.
- 人工智能应用涵盖了各种各样的医疗保健领域,包括瘤学,牙科和个性化医学.
研究的目的:
- 探索AI在癌症检测,牙科,脑瘤数据库管理和个性化治疗计划中的应用.
- 突出AI如何提高诊断准确性,数据管理和治疗策略.
主要方法:
- 审查人工智能技术,如机器学习和医学诊断中的深度学习.
- 分析AI在癌症检测图像分析中的作用.
- 检查AI在牙科保健工作流程和口腔疾病检测中的应用.
- 评估人工智能用于脑瘤数据库管理和个性化治疗规划.
主要成果:
- 人工智能显著提高了癌症检测和牙科护理的诊断准确性和效率.
- 由人工智能驱动的数据库增强了脑瘤数据管理和研究.
- 人工智能算法通过分析全面的患者数据来促进个性化治疗计划.
- 人工智能集成带来了诸多挑战,包括数据隐私,算法偏见和监管障碍.
结论:
- 在医疗保健中采用人工智能为患者的治疗结果和临床决策提供了巨大的好处.
- 克服挑战需要强大的数据治理,道德准则和跨学科合作.
- 标准化的协议和验证对于在精准医学中成功实施人工智能至关重要.
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