Response to 'Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis

We truly appreciate readers' concerns1 about our article ‘Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis’.2 While our objective differed from what readers might have expected, we have taken their feedback into account. The authors are aware of the differences between segmentation and detection accuracies, but in this study, we pooled the sensitivity and specificity of the models to highlight the effectiveness of artificial intelligence (AI) models in detecting subdural hematomas (SDH) in order to primarily explore the use of such models both in screening and detection. The main goal of the article was not to evaluate the performance of various AI models individually but to increase awareness about how they can assist physicians as a relatively new concept introduced. The authors emphasize that considering the accuracy rates of these AI tools, they might have the potential to...
Source: Journal of NeuroInterventional Surgery - Category: Neurosurgery Authors: Tags: Letter Source Type: research