Publications by authors named "Mindi Ruan"
Can micro-expressions be used as a biomarker for autism spectrum disorder?
Front Neuroinform
October 2024
Introduction: Early and accurate diagnosis of autism spectrum disorder (ASD) is crucial for effective intervention, yet it remains a significant challenge due to its complexity and variability. Micro-expressions are rapid, involuntary facial movements indicative of underlying emotional states. It is unknown whether micro-expression can serve as a valid bio-marker for ASD diagnosis.
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- Diagnosing language disorders in autism is complicated due to the subjective and variable nature of traditional assessment methods, which often delay timely interventions.
- This study investigates using ChatGPT, a powerful language model, to improve diagnostic accuracy and identify specific linguistic features related to autism, outperforming conventional models like BERT by over 13% in accuracy.
- The research highlights ten distinct language disorder features associated with autism that vary in different contexts, suggesting that AI tools like ChatGPT could significantly enhance diagnostic precision and support personalized treatment plans in clinical environments.
Article Synopsis
- This study investigates how individuals with autism spectrum disorder (ASD) perceive their environment through photos they take, focusing on their visual attention compared to peers without ASD.
- The research employed machine learning to analyze photographs from different categories, achieving high accuracy in classifying images taken by individuals with ASD, particularly those of people.
- Additionally, the findings suggested that these individuals tend to capture less prominent objects, highlighting distinct visual attention patterns that could offer objective insights for assessing ASD.