非洲临床毒理学的人工智能:新兴应用和障碍
Mikiyas G Teferi1, Biruk T Mengistie1, Helina K Teklehaimanot1
1School of Medicine, College of Health Sciences, Addis Ababa University, Zambia St., Addis Ababa 1000, Ethiopia.
概括
人工智能 (AI) 通过改善诊断和治疗,增强了非洲的临床毒理学. 克服数据短缺和基础设施缺口等挑战是实现人工智能在公共卫生方面的潜力的关键.
科学领域:
- 临床毒理学 临床毒理学
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 非洲在临床毒理学方面面临重大挑战,包括诊断延迟,专业知识有限和医疗保健基础设施不足.
- 人工智能 (AI) 为这些问题提供了潜在的解决方案,旨在改善患者的治疗结果和推进研究.
- 人工智能在临床毒理学中的整合对于解决非洲医疗保健系统独特需求至关重要.
研究的目的:
- 在非洲背景下,审查人工智能在临床毒理学中的新兴应用.
- 突出AI在提高诊断准确性,优化治疗和加速研究方面的潜在好处.
- 确定阻碍人工智能应用的挑战,并提出有效实施的战略.
主要方法:
- 这篇叙事综述综合了非洲临床毒理学AI应用现有文献.
- 它检查了人工智能驱动工具的作用,例如机器学习算法和决策支持系统.
- 该审查还考虑了人工智能在远程医疗中的整合及其对研究的影响.
主要成果:
- 人工智能在改善对有毒物质暴露的早期检测,风险评估和精准医学方面显示出潜力.
- 在远程医疗中整合人工智能可以扩大在资源有限的环境中获得专门的毒理学专业知识的机会.
- 人工智能通过分析大型数据集来加速研究,以确定趋势和预测毒理风险.
结论:
- 人工智能在推动非洲临床毒理学方面发挥着重要补充作用,提供了改进的诊断和治疗策略.
- 通过政策改革和能力建设,应对数据贫困,道德问题和基础设施限制等挑战至关重要.
- 合作努力对于在非洲临床毒理学中公平有效地实施AI至关重要,以最大限度地提高其公共卫生效益.
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