管理和治疗喉喉逆流性疾病的未来方向,以改善患者护理
1Division of Laryngology and Broncho-esophagology, Department of Otolaryngology-Head Neck Surgery, EpiCURA Hospital, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; International Federation of Otorhinolaryngological Societies (IFOS), Paris, France; Department of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Department of Otorhinolaryngology and Head and Neck Surgery, Foch Hospital, Paris Saclay University, Phonetics and Phonology Laboratory (UMR 7018 CNRS, Université Sorbonne Nouvelle/Paris 3), Paris, France.
了解喉回流病 (LPRD) 的原因需要进一步研究饮食,神经功能和肠道健康. 人工智能可以个性化治疗,但医疗意识是推动LPRD护理的关键.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 胃肠病学 胃肠病学
- 医疗技术 医疗技术 医学技术
背景情况:
- 喉回流病 (LPRD) 和喉回流事件的确切原因尚未完全理解.
- 目前的知识差距阻碍了开发有效的LPRD诊断和治疗策略.
- 慢性肺炎影响耳朵,鼻子和喉,影响患者的生活质量.
研究的目的:
- 突出需要一种全面的,多维的方法来理解LPRD病因学.
- 强调人工智能 (AI) 在个性化LPRD治疗方面的潜力.
- 要强调缺乏医疗意识在推动LPRD研究和患者护理方面所构成的关键障碍.
主要方法:
- 提出一个横向和多维的研究方法.
- 建议评估包括饮食,自主神经功能障碍和胃食道运动性在内的因素.
- 建议分析在ENT粘膜中的微生物组变化和胃肠酶度.
主要成果:
- 该研究确定了需要研究的关键领域,以更深入地了解LPRD.
- 它突出了人工智能改进治疗选择和临床评估过程的潜力.
- 发现的主要局限性是医疗和外科界对LPRD的认识不足.
结论:
- 为了阐明LPRD的潜在机制,一个多方面的研究策略至关重要.
- 人工智能有望优化个性化的LPRD管理和结果评估.
- 提高对LPRD的医疗意识对于改善患者的治疗结果和推进该领域至关重要.
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