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Severity of Antipsychotic-Induced Cervical Dystonia Assessed by the Algorithm-Based Rating System. | LitMetric

AI Article Synopsis

  • A study on antipsychotic-induced cervical dystonia evaluated severity levels through machine learning instead of traditional visual assessment.
  • Psychiatrists rated 101 videoclips from patients into four severity levels, and the Face Mesh tool was used to calculate tilt angles for various types of cervical dystonia.
  • The study identified specific tilt angle ranges for severity levels of different types of dystonia, suggesting potential for future AI applications in assessing cervical dystonia, pending further validation.

Article Abstract

The severity of antipsychotic-induced cervical dystonia has traditionally been evaluated visually. However, recent advances in information technology made quantification possible in this field through the introduction of engineering methodologies like machine learning. This study was conducted from June 2021 to March 2023. Psychiatrists rated the severity of cervical dystonia into 4 levels (0: none, 1: minimal, 2: mild, and 3: moderate) for 101 videoclips, recorded from 87 psychiatric patients receiving antipsychotics. The Face Mesh function of the open-source framework MediaPipe was employed to calculate the tilt angles of anterocollis or retrocollis, laterocollis, and torticollis. These were calculated to examine the range of tilt angles for the 4 levels of severity of the different types of cervical dystonia. The tilt angles calculated using Face Mesh for each level of dystonia were 0° ≤ θ < 6° for none, 6° ≤ θ < 11° for minimal, 11° ≤ θ < 25° for mild, and 25° ≤ θ for moderate laterocollis; 0° ≤ θ < 11° for none, 11° ≤ θ < 18° for minimal, 18° ≤ θ <25° for mild, and 25° ≤ θ for moderate anterocollis or retrocollis; and 0° ≤ θ < 9° for none, 9° ≤ θ < 17° for minimal, 17° ≤ θ < 32° for mild, and 32° ≤ θ for moderate torticollis. While further validation with new cases is needed, the range of tilt angles in this study could provide a standard for future artificial intelligence devices for cervical dystonia.

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Source
http://dx.doi.org/10.4088/JCP.23m14929DOI Listing

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