This paper provides an overview of evolutionary computation as applied to problems in the medical domains. We then describe how evolutionary algorithms are applied to solve medical problems, including diagnosis, prognosis, imaging, signal processing, planning, and scheduling.
Some fuzzy models forgo interpretability in the interest of improved performance.
C. A. Pe na-Reyes and M. Sipper. Artificial Intelligence in Medicine, 2000. A generic genetic algorithm for generating beam weights - Langer, Brown et al. Vesin et al. Yoshida et al.