A computerized medical image analysis method, using a hardware processor and a hardware memory, comprising: training, at the processor, a prediction model for predicting metadata of an input medical image based on a plurality of training medical images and metadata matching with each of the plurality of training medical images; generating, at the processor, predicted metadata of the input medical image by applying the trained prediction model to the input medical image, wherein the predicted metadata comprises information related to a display method of the input medical image, and wherein the information related to the display method comprises window center information according to digital imaging and communications and medicine, DICOM, and window width information according to the DICOM, for the input medical image; adjusting, at the processor, the input medical image based on the predicted metadata, wherein the adjusting the input medical image comprises: adjusting brightness of the input medical image based on the window center information and window width information included in the predicted metadata, wherein the adjusting brightness of the input medical image comprises: adjusting a first threshold value and a second threshold value based on the window center information and window width information, wherein pixels of the input medical image having values less than the first threshold are indicated as the minimum pixel value, and pixels of the input medical image having values greater than the second threshold value are indicated as the maximum pixel value; and detecting an anomaly from the adjusted input medical image based on the predicted metadata. training, at the processor, a prediction model for predicting metadata of an input medical image based on a plurality of training medical images and metadata matching with each of the plurality of training medical images; generating, at the processor, predicted metadata of the input medical image by applying the trained prediction model to the input medical image, wherein the predicted metadata comprises information related to a display method of the input medical image, and wherein the information related to the display method comprises window center information according to digital imaging and communications and medicine, DICOM, and window width information according to the DICOM, for the input medical image; adjusting, at the processor, the input medical image based on the predicted metadata, wherein the adjusting the input medical image comprises: adjusting brightness of the input medical image based on the window center information and window width information included in the predicted metadata, wherein the adjusting brightness of the input medical image comprises: adjusting a first threshold value and a second threshold value based on the window center information and window width information, wherein pixels of the input medical image having values less than the first threshold are indicated as the minimum pixel value, and pixels of the input medical image having values greater than the second threshold value are indicated as the maximum pixel value; and detecting an anomaly from the adjusted input medical image based on the predicted metadata. <EOS>