Micro-expression detection in ASD movies: a YOLOv8-SMART approach
The study highlights the potential of combining cinematic analysis with cutting-edge AI technology to address critical challenges in ASD diagnosis. Early identification of ASD is crucial for timely intervention, yet traditional diagnostic methods often rely on subjective assessments, leading to delays. This innovative approach provides clinicians with an objective, data-driven tool to detect subtle emotional cues, enabling earlier and more accurate diagnoses.
This breakthrough not only advances the field of ASD research but also demonstrates the transformative potential of AI in healthcare. The integration paves the way for more effective diagnostic tools and therapeutic strategies, offering hope for individuals with ASD and their families.
This paper was published in Biomedical Informatics (ISSN: 3005-3854), a journal led by Editor-in-Chief, Prof. Wing Kin Sung from Chinese University of Hong Kong. It aims to provide a platform for publishing interdisciplinary research that applies software or computational methods to understand living systems at a molecular level through to the cell level, and other content which would be online immediately upon acceptance after peer review.
The Article Processing Charges (APCs) are entirely waived for papers submitted before the end of 2025.
Citation: Gu Y, Li H, Liu J, Liu C, Li Y, et al. Micro-expression detection in ASD movies: a YOLOv8-SMART approach. Biomed. Inform. 2025(1):0002, https://doi.org/10.55092/bi20250002
DOI: 10.55092/bi20250002
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