Abstract: There is provided, a method of selecting patients for treatment, comprising: feeding anatomical image(s) of a patient depicting a target tissue, and non-imaging clinical parameters of the patient into neural network component(s) of a model, outputting by the neural network component(s), an intermediate vector storing a plurality of embedding values computed for the anatomical image(s), a plurality of values outputted by a dense layer of the neural network component(s) in response to an input of at least some of the non-imaging clinical parameters, and an intermediate value indicative of likelihood of malignancy for the target tissue, feeding into a classifier component of the model, a feature vector created from the intermediate vector and the plurality of non-imaging clinical parameters, and selecting patients for treatment according to an indication of likelihood of malignancy in the target tissue outputted by the model.