Automated AI based identification of autism spectrum disorder from home videos - Summary - MDSpire

Automated AI based identification of autism spectrum disorder from home videos

  • By

  • Dong Yeong Kim

  • Ryemi Do

  • Youmin Shin

  • Hewoen Sim

  • Hanna Kim

  • Sungchul Cho

  • Geonhee Lee

  • Seyeon Park

  • Boa Jang

  • Hyojeong Lim

  • Sungji Ha

  • Jaeeun Yu

  • Hangnyoung Choi

  • Junghan Lee

  • Min-Hyeon Park

  • Ayeong Cho

  • Chan-Mo Yang

  • Dongho Lee

  • Heejeong Yoo

  • Yoojeong Lee

  • Guiyoung Bong

  • Johanna Inhyang Kim

  • Haneul Sung

  • Hyo-Won Kim

  • Eunji Jung

  • Seungwon Chung

  • Jung-Woo Son

  • Jae Hyun Yoo

  • Sekye Jeon

  • Jinseong Jang

  • You Bin Lim

  • Jeeyoung Chun

  • Wooseok Choi

  • Sooyeon Lee

  • Sohyun Park

  • Jisung Ahn

  • Chae Rim Lee

  • Keun-Ah Cheon

  • Young-Gon Kim

  • Bung-Nyun Kim

  • October 10, 2025

  • 0 min

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Objective:

To develop an AI-based screening system that utilizes home-recorded videos for early detection of Autism Spectrum Disorder (ASD), emphasizing the significance of timely identification.

Key Findings:
  • The AI-based system can complement clinical evaluations and improve early ASD detection, with implications for clinical practice.
  • Short home-video protocols effectively elicit children's natural behaviors.
  • The automated approach may aid in prioritizing referrals and enabling earlier intervention.
Interpretation:

The study demonstrates the potential of AI-driven analysis of home videos to enhance early ASD detection, particularly in resource-limited settings, highlighting its impact.

Limitations:
  • The study may have limitations in generalizability due to the specific population and setting.
  • Potential biases in video selection and the representativeness of behaviors captured, along with ethical concerns regarding video data.
Conclusion:

The AI-based screening system represents a promising advancement in the early detection of ASD, addressing barriers associated with traditional diagnostic methods and emphasizing the need for scalable solutions.

Original Source(s)

Automated AI based identification of autism spectrum disorder from home videos

  • by Dong Yeong Kim, Ryemi Do, Youmin Shin, Hewoen Sim, Hanna Kim, Sungchul Cho, Geonhee Lee, Seyeon Park, Boa Jang, Hyojeong Lim, Sungji Ha, Jaeeun Yu, Hangnyoung Choi, Junghan Lee, Min-Hyeon Park, Ayeong Cho, Chan-Mo Yang, Dongho Lee, Heejeong Yoo, Yoojeong Lee, Guiyoung Bong, Johanna Inhyang Kim, Haneul Sung, Hyo-Won Kim, Eunji Jung, Seungwon Chung, Jung-Woo Son, Jae Hyun Yoo, Sekye Jeon, Jinseong Jang, You Bin Lim, Jeeyoung Chun, Wooseok Choi, Sooyeon Lee, Sohyun Park, Jisung Ahn, Chae Rim Lee, Keun-Ah Cheon, Young-Gon Kim, Bung-Nyun Kim

  • October 10, 2025

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