人工智能在美容和功能性妇科中的作用:迈入第三个千年

Giovanni Buzzaccarini , Rebecca Susanna Degliuomini , Andrea Etrusco , Andrea Giannini , Antonio D’Amato , Katerina Gkouvi , Nicolas Berreni , Navneet Magon , Massimo Candiani , Stefano Salvatore
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引用次数: 0

摘要

美容和功能性妇科受到患者的欢迎,但这一领域的科学文献,尤其是有关美容方面的文献却很缺乏。循证医学的使用对于验证诊断工具和治疗方案至关重要。然而,人工智能(AI)的出现为解决这一问题提供了一个前景广阔的解决方案。ChatGPT 是一种复杂的语言模型,它能彻底改变人工智能在医学中的应用,实现准确诊断、个性化治疗方案和加速研究分析。美容和功能性妇科可以利用人工智能来发展这一领域并改进证据收集。人工智能可以帮助进行精确和个性化的诊断,实施标准化的评估工具,模拟治疗结果,并通过虚拟现实技术评估皮肤下的解剖结构。人工智能工具可以帮助临床医生诊断和比较疑难病例,计算治疗风险,并通过收集全球证据和生成指南来促进标准化。人工智能在美容和功能性妇科领域的应用具有推动该领域发展和改善患者预后的巨大潜力。人工智能与妇科的新颖结合代表了医学领域的突破性发展,强调了适当和正确使用人工智能的重要性。
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The role of artificial intelligence in cosmetic and functional gynecology: Stepping into the third millennium

Cosmetic and functional gynecology have gained popularity among patients, but the scientific literature in this field, particularly regarding the cosmetic aspect, is lacking. The use of evidence-based medicine is crucial to validate diagnostic tools and treatment protocols. However, the advent of artificial intelligence (AI) offers a promising solution to address this issue. ChatGPT, a sophisticated language model, can revolutionize AI in medicine, enabling accurate diagnosis, personalized treatment plans, and expedited research analysis. Cosmetic and functional gynecology can leverage AI to develop the field and improve evidence gathering. AI can aid in precise and personalized diagnosis, implement standardized assessment tools, simulate treatment outcomes, and assess under-skin anatomy through virtual reality. AI tools can assist clinicians in diagnosing and comparing difficult cases, calculate treatment risks, and contribute to standardization by collecting global evidence and generating guidelines. The use of AI in cosmetic and functional gynecology holds significant potential to advance the field and improve patient outcomes. This novel combination of AI and gynecology represents a groundbreaking development in medicine, emphasizing the importance of appropriate and correct AI usage.

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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
31
审稿时长
58 days
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