聊天GPT和AI聊天机器人在优化抗生素治疗中的作用:全面的叙事审查
Ninel Iacobus Antonie1,2, Gina Gheorghe1,2, Vlad Alexandru Ionescu1,2
1Faculty of Medicine, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania.
Antibiotics (Basel, Switzerland)
|January 25, 2025
概括
人工智能 (AI) 聊天机器人有望通过帮助临床医生选择合适的治疗方法来改善抗生素管理. 需要进一步的研究和临床验证来克服局限性,并确保安全地将其纳入实践.
科学领域:
- 医疗信息学 医疗信息学
- 传染性疾病 传染性疾病
- 医疗保健中的人工智能
背景情况:
- 抗生素耐药性是一个关键的全球卫生挑战,需要加强抗生素管理.
- 人工智能 (AI) 聊天机器人为临床医生提供优化抗生素治疗的潜在支持,特别是对于非专业人士来说.
研究的目的:
- 审查人工智能聊天机器人的能力和局限性的现有证据,以改善抗生素选择.
- 探索人工智能聊天机器人的未来方向,以提高患者的治疗结果和抗生素管理.
主要方法:
- 对过去五年的研究进行了叙述性审查.
- 搜索的数据库包括PubMed,SCOPUS,科学网和谷歌学者.
- 研究重点是人工智能聊天机器人,抗生素管理和临床决策支持系统.
主要成果:
- 人工智能聊天机器人展示了基于指南的建议,医学教育和临床决策支持方面的潜力.
- 在诊断和处方任务的初步准确性是有希望的.
- 挑战包括处理临床细微差别,潜在的不安全建议,偏见,隐私问题和有限的验证.
结论:
- 人工智能聊天机器人可能会增强抗生素管理并改善患者的治疗结果.
- 安全有效的整合需要严格的临床试验,跨学科的合作,和监管的清晰度.
- 算法改进和人类监督对于临床实施至关重要.
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