The recommendation received:

Do not postpone a visit to the doctor to get a diagnosis. We recommend that you consult an oncologist.

What's next?

The recommendation is not the diagnosis.

For an accurate diagnosis, you need to consult an oncologist.

The neural network concluded that the sent image and other data with a high degree of probability indicate the presence of malignant disease.

It should be taken into account, that in addition to the probabilistic nature of the neural network conclusion and the possibility of incorrect recommendation, the incorrect results might be received due to noncompliance with the recommendations for photographing "moles", especially when there are sharp shadows in the photo from improper lighting, as well as foreign objects: eyes, nails, watches, buttons ... The presence of such items can mislead the neural network and affect results.

If the recommendations for photographing "moles" have not been met, then simply try again, following all the specified rules.

Otherwise, please visit a doctor as soon as possible.

The recommendation's source

The sent materials were processed by the specially built and trained neural network. Based on the results of the analysis, the recommendation was provided.

The neural network of the "Prorodinki" project was built and trained on 5000+ images with a verified and confirmed diagnosis.

During the trials of the "Prorodinki" project, conducted on 500+ participants, the following quality  metrics of the neural network were obtained:

  1. Sensitivity - the probability of correct conclusion of the neural network upon presentation of a malignant disease (basal cell carcinoma or melanoma) was 90%. Accordingly, the probability of a false negative error is 10%.

  2. Specificity - the probability of correct conclusion of the neural network in the absence of a malignant disease (basal cell carcinoma or melanoma) was 85%. Accordingly, the probability of a false positive error is 15%.