Simulated annealing s no doubt one of the most popular optimisation methods.Like similar methods (.e.genetic algorithms)t s based on the natural phenomena.In this paper two examples of how to use this method in the medical applications are presented.In the first example the successfulness of the simulated annealing s compared to the genetic algorithm on the problem of the optimal coefficients determ nation for cellular neural networks,when used for segmentation of ovarian ultrasound images.In this field the later method produced better results.The second example discusses the usage of simulated annealing for optimisation of signal classification.