<p>The objective of this paper is to respond to the comment regarding “Text-to-Video Models and Sora in Plastic Surgery: Pearls, Pitfalls, and Prospectives” and to provide further explanation on the opinions discussed therein. The emergence of text-to-video models, like Sora, allows us to see more vivid examples of artificial intelligence applied to life. The development of new technologies, like text-to-video models, needs to be recognized, questioned, regulated, and upgraded. We believe that the current problems of text-to-video models can be solved in the orderly development of the future, and the professional version of text-to-video models for practitioners in different industries will be more convenient for the liberation of productivity and the dissemination of corresponding professional knowledge.</p><p><i>Level of Evidence V</i> This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors <a href="http://www.springer.com/00266">www.springer.com/00266</a>.</p>

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Response to the Comment on “Text-to-Video Models and Sora in Plastic Surgery: Pearls, Pitfalls, and Prospectives”

  • Yuanbo Kang,
  • Sifan Wang,
  • Lin Zhu

摘要

The objective of this paper is to respond to the comment regarding “Text-to-Video Models and Sora in Plastic Surgery: Pearls, Pitfalls, and Prospectives” and to provide further explanation on the opinions discussed therein. The emergence of text-to-video models, like Sora, allows us to see more vivid examples of artificial intelligence applied to life. The development of new technologies, like text-to-video models, needs to be recognized, questioned, regulated, and upgraded. We believe that the current problems of text-to-video models can be solved in the orderly development of the future, and the professional version of text-to-video models for practitioners in different industries will be more convenient for the liberation of productivity and the dissemination of corresponding professional knowledge.

Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.