Cinematic Clinical Narratives: Utilizing A Multimodal AI Approach in Medical Education (Preprint)

Author:

Bland TylerORCID

Abstract

BACKGROUND

Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.

OBJECTIVE

To enhance the teaching of clinical pharmacology in medical school by employing a multimodal generative artificial intelligence (AI) approach to create compelling cinematic clinical narratives (CCNs).

METHODS

We transformed a standard clinical case into an engaging, interactive multimedia experience called "Shattered Slippers." This CCN utilized various AI tools for content creation: GPT-4 for developing the storyline, Leonardo.ai and Stable Diffusion for generating images, Eleven Labs for creating audio narrations, and Suno for composing a theme song. The CCN integrated narrative styles and pop culture references to enhance student engagement. It was applied in teaching first-year medical students about immune system pharmacology. Student responses were assessed through the Situational Interest Survey for Multimedia (SIS-M) and examination performance. The target audience comprised 40 first-year medical students, with 18 responding to the SIS-M survey (n=18).

RESULTS

The study revealed a marked preference for the AI-enhanced CCNs over traditional teaching methods. Key findings include a high percentage of surveyed students preferring the CCN over traditional clinical cases, as well as high average scores for triggered situational interest, maintained interest, maintained-feeling interest, and maintained-value interest. Students achieved an average score of 88% on exam questions related to the CCN material, indicating successful learning and retention. Qualitative feedback highlighted increased engagement, improved recall, and appreciation for the narrative style and pop culture references.

CONCLUSIONS

This study demonstrates the potential of utilizing a multimodal AI-driven approach to create CCNs in medical education. The "Shattered Slippers" case effectively enhanced student engagement and promoted knowledge retention in complex pharmacological topics. This innovative method suggests a novel direction for curriculum development that could improve learning outcomes and student satisfaction in medical education. Future research should explore the long-term retention of knowledge and the applicability of learned material in clinical settings, as well as the potential for broader implementation of this approach across various medical education contexts.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3