人工智能生成多媒体的出现:放射学领域的有远见的物理学家重生
Ramin Javan1, Navid Mostaghni2
1Department of Radiology, George Washington University School of Medicine and Health Sciences, Washington, USA.
Cureus
|October 18, 2024
概括
人工智能 (AI) 多媒体生成,包括视频合成,对放射学教育和可视化充满希望. 虽然现实主义有所不同,但人工智能工具为医学成像和通信提供了创新的应用.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医学教育 医学教育
- 医学可视化 医学可视化
背景情况:
- 人工智能驱动的多媒体生成,特别是使用稳定扩散和变压器进行视频合成,为放射学带来了巨大的潜力.
- 目前的AI工具,如Midjourney,RunwayML Gen2,D-ID和ElevenLabs,可以实现图像,视频和语音生成.
研究的目的:
- 探索人工智能生成的多媒体,专注于视频合成及其在放射学中的应用.
- 展示AI在放射学教育和沟通目的上产生现实的内容的能力.
主要方法:
- 利用人工智能工具 (Midjourney,RunwayML Gen2,D-ID,ElevenLabs) 来进行图像对图像,图像对视频以及语音克隆.
- 创建了440张图像和24张视频,探索了文字对语音和语音克隆技术.
主要成果:
- 人工智能产生的内容的现实性从图像到图像到图像到视频和语音到视频的世代下降.
- 语音对视频生成需要手动调整唇部和头部运动,缺乏面部表情和眼睛/手动.
结论:
- 人工智能生成的多媒体在放射学中为3D可视化,教育,患者互动和远程咨询提供了潜在的应用.
- 负责任的使用,跨学科的合作和进一步的发展对于推动放射学人工智能的发展至关重要.
关键词:
人工智能产生了AI.由人工智能生成的图像.聊天机器人聊天机器人聊天机器人达尔 - 埃尔 - 达尔 - 埃尔在gpt-4中,gpt-4是什么?大型语言模型.多媒体多媒体多媒体.放射学 放射学是指放射学视频 视频 视频 视频 视频更多相关视频
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