Concerns with OpenAI’s Sora in Medicine

Ethan Waisberg; Joshua Ong; Mouayad Masalkhi; Andrew G. Lee

doi:10.1007/s10439-024-03505-0

Concerns with OpenAI’s Sora in Medicine

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi, Andrew G. Lee

Research output: Contribution to journal › Letter › peer-review

2 Scopus citations

Abstract

Open AI’s Sora represents a ground-breaking innovation in AI that can generate lifelike and imaginative visual scenes based on text prompts. However, Sora has also produced some new concerns surrounding artificial video generation in medicine. While Sora is highly promising to enhance patient education, facilitate remote consultations and simulate surgical procedures, AI-generated videos also bring technical, legal, and ethical challenges. In this paper, we explore the clinical and ethical implications of Sora’s AI-generated videos in the field of medicine.

Original language	English (US)
Pages (from-to)	1932-1934
Number of pages	3
Journal	Annals of Biomedical Engineering
Volume	52
Issue number	8
DOIs	https://doi.org/10.1007/s10439-024-03505-0
State	Published - Aug 2024

Keywords

Artificial video generation
Generative AI
LLM
Large language models
NLP

ASJC Scopus subject areas

Biomedical Engineering

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10.1007/s10439-024-03505-0

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title = "Concerns with OpenAI{\textquoteright}s Sora in Medicine",

abstract = "Open AI{\textquoteright}s Sora represents a ground-breaking innovation in AI that can generate lifelike and imaginative visual scenes based on text prompts. However, Sora has also produced some new concerns surrounding artificial video generation in medicine. While Sora is highly promising to enhance patient education, facilitate remote consultations and simulate surgical procedures, AI-generated videos also bring technical, legal, and ethical challenges. In this paper, we explore the clinical and ethical implications of Sora{\textquoteright}s AI-generated videos in the field of medicine.",

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author = "Ethan Waisberg and Joshua Ong and Mouayad Masalkhi and Lee, {Andrew G.}",

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AU - Waisberg, Ethan

AU - Ong, Joshua

AU - Masalkhi, Mouayad

AU - Lee, Andrew G.

N1 - Publisher Copyright: © The Author(s) under exclusive licence to Biomedical Engineering Society 2024.

PY - 2024/8

Y1 - 2024/8

N2 - Open AI’s Sora represents a ground-breaking innovation in AI that can generate lifelike and imaginative visual scenes based on text prompts. However, Sora has also produced some new concerns surrounding artificial video generation in medicine. While Sora is highly promising to enhance patient education, facilitate remote consultations and simulate surgical procedures, AI-generated videos also bring technical, legal, and ethical challenges. In this paper, we explore the clinical and ethical implications of Sora’s AI-generated videos in the field of medicine.

AB - Open AI’s Sora represents a ground-breaking innovation in AI that can generate lifelike and imaginative visual scenes based on text prompts. However, Sora has also produced some new concerns surrounding artificial video generation in medicine. While Sora is highly promising to enhance patient education, facilitate remote consultations and simulate surgical procedures, AI-generated videos also bring technical, legal, and ethical challenges. In this paper, we explore the clinical and ethical implications of Sora’s AI-generated videos in the field of medicine.

KW - Artificial video generation

KW - Generative AI

KW - LLM

KW - Large language models

KW - NLP

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JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

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ER -

Concerns with OpenAI’s Sora in Medicine

Abstract

Keywords

ASJC Scopus subject areas

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