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                            [content] => *! The study aimed to evaluate how machine learning software improves the ability of physicians to read ASPECTS scoring in CT scans for large vessel occlusion in stroke patients within 6 hours of symptom onset. *! Three expert neuroradiologists established a reference standard by reading 50 CT scans, and additional readers analyzed the scans both with and without assistance from the software to assess their performance. *! Results showed that when typical readers used the software, their accuracy improved significantly, achieving agreement rates similar to those of expert neuroradiologists, which underscores the potential of automated tools in medical imaging. *!
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