Javan Ramin, Cole Jamie, Hsiao Sabrina, Cronquist Brennan, Monfared Ashkan
Department of Radiology, George Washington University School of Medicine and Health Sciences, Washington, USA.
Department of Otolaryngology - Head and Neck Surgery, George Washington University School of Medicine and Health Sciences, Washington, USA.
Cureus. 2024 Aug 31;16(8):e68313. doi: 10.7759/cureus.68313. eCollection 2024 Aug.
Recent advances in generative artificial intelligence (AI) have enabled remarkable capabilities in generating images, audio, and videos from textual descriptions. Tools like and can produce striking visualizations from simple prompts, while services like and can generate short video clips. These technologies offer intriguing possibilities for clinical and educational applications in otolaryngology. Visualizing symptoms like vertigo or tinnitus could bolster patient-provider understanding, especially for those with communication challenges. One can envision patients selecting images to complement chief complaints, with AI-generated differential diagnoses. However, inaccuracies and biases necessitate caution. Images must serve to enrich, not replace, clinical judgment. While not a substitute for healthcare professionals, text-to-image and text-to-video generation could become valuable complementary diagnostic tools. Harnessed judiciously, generative AI offers new ways to enhance clinical dialogues. However, education on proper, equitable usage is paramount as these rapidly evolving technologies make their way into medicine.
生成式人工智能（AI）的最新进展使其在根据文本描述生成图像、音频和视频方面具备了卓越的能力。诸如[具体工具1]和[具体工具2]之类的工具可以根据简单提示生成引人注目的可视化效果，而诸如[具体服务1]和[具体服务2]之类的服务可以生成短视频片段。这些技术为耳鼻喉科的临床和教育应用提供了有趣的可能性。可视化眩晕或耳鸣等症状可以增强患者与医疗服务提供者之间的理解，尤其是对于那些存在沟通障碍的患者。可以设想患者选择图像来补充主要症状，并由人工智能生成鉴别诊断。然而，不准确和存在偏差的情况需要谨慎对待。图像必须用于丰富临床判断，而不是取代临床判断。虽然文本到图像和文本到视频生成不能替代医疗保健专业人员，但它们可能成为有价值的辅助诊断工具。如果合理利用，生成式人工智能提供了增强临床对话的新方法。然而，随着这些快速发展的技术进入医学领域，关于正确、公平使用的教育至关重要。
