The goal of ISADS is to enable doctors to make more informed decisions about a given case by providing a selection of similar annotated cases from a large data repository. The fundamental challenge in developing ISADS systems is the efficient identification of similar cases, not simply in terms of superficial image characteristics, but in a medically-relevant sense. ISADS is a collaborative research effort with Intel, Carnegie Mellon University, Georgia Institute of Technology, University of Pittsburgh and the University of Pittsburgh Medical Center.
We are collaborating closely with physicians from the University of Pittsburgh Medical School.
ISADS for Dermatology Video