In recent years, computer-assisted diagnostic systems have gained increasing interest through the use of deep learning techniques. In this work we show how it is possible to classify X-ray images through a multi-input convolutional neural network. The use of clinical information together with the images allowed to obtain better results than those present in the literature on the same data.
In recent years, computer-assisted diagnostic systems increasingly gained
interest through the use of deep learning techniques. Surely, the medical field could
be one of the best environments in which the power of the AI algorithms can be
tangible for everyone. Deep learning models can be useful to help radiologists elaborate
fast and even more accurate diagnosis or accelerate the triage systems in hospitals.
However, differently from other fields of works, the collaboration and co-work
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