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Updated: Jun 3, 2025

Ex Vivo Corneal Organ Culture Model for Wound Healing Studies
Published on: February 15, 2019
生成型人工智能:在科学写作和数据分析中在伤口治疗研究中的应用
Adrian Chen1, Aleksandra Qilleri, Timothy Foster
1At the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, United States, Adrian Chen, BS, Aleksandra Qilleri, BS, and Timothy Foster, BS, are Medical Students. Amit S. Rao, MD, is Project Manager, Department of Surgery, Wound Care Division, Northwell Wound Healing Center and Hyperbarics, Northwell Health, Hempstead. Sandeep Gopalakrishnan, PhD, MAPWCA, is Associate Professor and Director, Wound Healing and Tissue Repair Analytics Laboratory, School of Nursing, College of Health Professions, University of Wisconsin-Milwaukee. Jeffrey Niezgoda, MD, MAPWCA, is Founder and President Emeritus, AZH Wound Care and Hyperbaric Oxygen Therapy Center, Milwaukee, and President and Chief Medical Officer, WebCME, Greendale, Wisconsin. Alisha Oropallo, MD, is Professor of Surgery, Donald and Barbara Zucker School of Medicine and The Feinstein Institutes for Medical Research, Manhasset New York; Director, Comprehensive Wound Healing Center, Northwell Health; and Program Director, Wound and Burn Fellowship program, Northwell Health.
生成型人工智能 (AI) 在伤口护理中为个性化支持,文献审查和全球合作提供了巨大的潜力. 然而,仔细实施和验证对于克服局限性和确保患者安全至关重要.
科学领域:
- 医学研究 医学研究
- 人工智能的人工智能
- 伤口护理管理管理
背景情况:
- 生成型人工智能 (AI) 模型,包括大型语言模型,代表了重要的技术进步.
- 这些人工智能工具在包括伤口护理在内的医疗子专业领域有着多样化的应用.
研究的目的:
- 探索生成AI在伤口护理研究和管理中的潜在应用.
- 确定在这个领域使用人工智能 (如ChatGPT) 的好处和局限性.
主要方法:
- 对与医学研究和临床实践相关的生成人工智能能力的审查.
- 分析AI在文学导航,科学写作,患者支持和治疗优化方面的作用.
- 考虑人工智能对非英语母语从业者和全球知识传播的影响.
主要成果:
- 生成型人工智能可以个性化患者支持,优化治疗计划,改善伤口护理中的科学写作.
- 人工智能有助于文献审查,文章总结,并可以帮助医疗专业人员消除语言障碍.
- 由人工智能驱动的聊天机器人可以持续监测伤口愈合和远程跟踪患者.
结论:
- 生成型人工智能有望促进伤口护理,为研究和管理提供工具.
- 仔细考虑局限性,伦理含义和验证的必要性对于安全有效的AI实施至关重要.
- 应该避免过度依赖人工智能;适当的监督对于利用其潜力至关重要,同时确保患者的安全和治疗疗效.
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