Application neural network to define optimal parameters of laserotherapy in patients after tonsillectomy: pilot study

After tonsillectomy many patients are required to continue therapy for reaching more effective and quick results. One of the more efficient methods is laserotherapy. It is non-painful, non-invasive and well-tuned with particular patients. But there are no universal algorithms to prescribe parameters for this kind of therapy. Often doctors define these parameters based on their own experience, and they may not be always optimal. To improve the method, the authors decided to use artificial neural network accumulated experience and learning based on actual data