HIGHLIGHTS
- What: Next, subgroups analysis was conducted to compare patients accurately diagnosed (Accurate) by the developed DL-based model with those inaccurately diagnosed (Inaccurate) . With an overall accuracy of 72% compared to the doctors` 52%, the model shows significant promise as a diagnostic tool, though the specificity gap underscores the importance of integrating the model with clinical assessment to avoid unnecessary interventions.
- Who: Junichi Kushioka et al. from the Editor:, University of Illinois University Graduate School of Medicine, Suita, Japan have published the article: Deep learning-based screening for locomotive syndrome using single-camera walking video . . .
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