生成式预训练变压器人工智能 (Chat-GPT) 是指导方针合成的可靠工具吗? 对生物CRSwNP疗法的初步评估
Antonino Maniaci1,2, Alberto Maria Saibene3,4, Christian Calvo-Henriquez3,5
1Faculty of Medicine and Surgery, "Kore" University of Enna, Enna, Italy. antonino.maniaci@phd.unict.it.
概括
人工智能 (AI) 可以优化慢性鼻炎与鼻息肉 (CRSwNP) 的生物治疗选择. 一个AI算法分析了指导方针,以创建生物制剂的决策工具,改进治疗方案.
科学领域:
- 医学研究 医学研究
- 人工智能在医学中的应用
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
背景情况:
- 生物疗法为患有鼻多 (CRSwNP) 的慢性鼻炎提供了新的希望.
- 目前面临的挑战包括未定义的最佳患者群体,剂量和生物药物治疗持续时间.
- 高昂的成本和对生物疗法的有限获取需要优化治疗策略.
研究的目的:
- 开发一种人工智能 (AI) 算法,以优化CRSwNP中的生物疗法选择.
- 为生物药物选择创建决策算法和流程图.
- 为了解决对CRSwNP生物治疗中明确规定的方案的需求.
主要方法:
- 人工智能算法对CRSwNP生物治疗指南进行了系统的文献审查.
- 包括12项研究:6项系统审查,4项专家共识指南,2项调查.
- 人工智能批判性地分析了研究,确定了强项和弱项,以建立决策框架.
主要成果:
- 评估了针对CRSwNP的IL-5,IL-4,IL-13和IgE的生物药物,包括那些患有并发性喘的人.
- 杜皮卢马布,梅波利祖马布和复利祖马布在改善症状和减少多负担方面表现出有效性.
- 需要进一步的研究来确认CRSwNP中的生物药物的长期疗效和安全性.
结论:
- 生物药物对严重或耐火性CRSwNP有希望,但最佳使用仍在研究中.
- 人工智能驱动的决策协议和治疗算法为CRSwNP管理提供了未来的方向.
- 人工智能可以增强对CRSwNP的生物疗法的选择和应用.
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