Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome.

使用 AI 文本到图像生成为医学教育创建新的插图 ： 甲状腺功能减退和霍纳综合征所说明的当前局限性。

• 发表时间: 2024 Feb 22
• 来源期刊: JMIR Med Educ
• DOI: 10.2196/52155
• PMID: 38386400
• 文章类型: Journal Article
• 作者列表: Kumar A,Burr P,Young TM

关键词: AI; Bernard syndrome; Bernard's syndrome; Horner syndrome; Horner's syndrome; artificial intelligence; autonomic; eye; eyes; face; facial; illustration; illustrations; image; images; medical education; medical illustration; medical images; miosis; nervous system; neurologic; neurological; oculosympathetic; ophthalmoplegia; paralysis; photo; photograph; photographs; photography; photos; ptosis; pupil; pupils

Mesh: Humans; Horner Syndrome / diagnosis; Education, Medical; Hypothyroidism / complications

Abstract

Our research letter investigates the potential, as well as the current limitations, of widely available text-to-image tools in generating images for medical education. We focused on illustrations of important physical signs in the face (for which confidentiality issues in conventional patient photograph use may be a particular concern) that medics should know about, and we used facial images of hypothyroidism and Horner syndrome as examples.

摘要

我们的研究信调查了潜在的，以及目前的限制，在为医学教育生成图像方面广泛可用的文本到图像工具。我们专注于医生应该知道的面部重要体征的插图（常规患者照片使用中的保密问题可能是一个特别关注的问题），我们以甲状腺功能减退和霍纳综合征的面部图像为例。