General Electric Company

Axel Crasemann

Serge Muller

Razvan Iordache

Sylvain Bernard

Joseph Carroll

Marco Blumenthal

John Yan

Mandeep Nanda

Felix Nayman

Jeffery Suddeth

Apparatus, systems, and methods for computer-aided detection are disclosed and described. An example apparatus includes at least one processor and a memory. The example memory includes instructions which, when executed, cause the at least one processor to at least: associate first patient data and first outcome data according to a set of association rules; train a processing model using machine learning and the associated first patient data and first outcome data; generate a computer-aided decision processing algorithm using the processing model; update the computer-aided decision processing algorithm based on at least one of second patient data or second outcome data received from a cloud infrastructure; and deploy the updated computer-aided decision processing algorithm to be applied to third patient data.

Methods and apparatus for self-learning clinical decision support

Display screen or portion thereof with graphical user interface

Growing community of inventors

Munich, Germany

Axel Crasemann