![]() ![]() Based on US numbers, one in 10 people of age 65 and older lives with Alzheimer’s dementia and the total number of cases are projected to more than double by 2050 from 5.8 million to 13.8 million 2. According to the World Health Organization, around 50 million people currently have dementia and 10 million new cases are diagnosed each year 1. Due to the digital format, the paper-based test can be simply scanned by using a mobile device and then be evaluated also in areas where there is a staff shortage or where no clinical experts are available.ĭementia is one of the most common neurological syndromes in the world, in which the memory and the ability to perform daily life activities deteriorates and gets worse. ![]() We achieved accuracies of 96.65% for screening and up to 98.54% for scoring, overcoming the reported state-of-the-art as well as human accuracies. The outcome of our work is a standardized and digital estimation of the dementia screening result and severity level for an individual. To deal with the limited amount of data, which also included several dementia types, we used optimization strategies for training the neural network. The dataset consisted of 1315 individuals. Our study includes a comparison of three modern architectures: VGG16, ResNet-152, and DenseNet-121. To overcome these issues, we present an automatic assessment of the widely used paper-based clock-drawing test by means of deep neural networks. This technique can introduce errors and has high inter-rater variability. Usually, diagnoses are made based on paper-and-pencil tests and scored depending on personal judgments of experts. Dementia is one of the most common neurological syndromes in the world. ![]()
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