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Deep01 cuts ICH patients’ LOS in the emergency department by 3.67 hours, backed by a large-scale clinical trial and published in a renowned US medical journal

Deep01 cuts ICH patients' LOS in the emergency department by 3.67 hours_ backed by a large-scale clinical trial and published in a renowned US medical journal

The DeepCT is the world’s leading AI-driven system developed by Deep01 to identify abnormal CT scan images. Recently, Kaohsiung Veterans General Hospital (KVGH), the largest hospital in southern Taiwan, as the third-party medical center released clinical trial results of using the DeepCT system in its emergency department. The trial including a total of 2,999 patients shows that the use of DeepCT shortened the intracranial hemorrhage (ICH) patients’ length of stay (LOS) at the emergency department by 3 hours and 40 minutes on average. This means the DeepCT system will greatly reduce the ICH patients’ waiting time in the emergency department and accelerate the follow-up treatment procedure, which is immensely beneficial to both of the patients and the hospital management. The clinical trial results were accepted and published in June this year by the high-impact-factor Journal of Medical System in the US.

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The DeepCT is the world’s leading AI-driven system developed by Deep01 to identify abnormal CT scan images. Recently, Kaohsiung Veterans General Hospital (KVGH), the largest hospital in southern Taiwan, as the third-party medical center released clinical trial results of using the DeepCT system in its emergency department. The trial including a total of 2,999 patients shows that the use of DeepCT shortened the intracranial hemorrhage (ICH) patients’ length of stay (LOS) at the emergency department by 3 hours and 40 minutes on average. This means the DeepCT system will greatly reduce the ICH patients’ waiting time in the emergency department and accelerate the follow-up treatment procedure, which is immensely beneficial to both of the patients and the hospital management. The clinical trial results were accepted and published in June this year by the high-impact-factor Journal of Medical System in the US.