Koninklijke Philips Corporation N.v.

Jurgen Jan Rusch

Jochen Kruecker

Mauro Barbieri

Karen Irene Trovato

Johannes Henricus Maria Korst

Sandeep M Dalal

Eugene Alekseyevich Ivanov

Qi Gao

Marc André Peters

Milosh Stolikj

Bart Albertus Gerardus Van Der Velden

A method () of automated identification of one or more malfunction areas of a set (S) of malfunction areas for a service case in which a medical device () is serviced includes: generating an output probability vector () of probabilities for the set of malfunction areas of the medical device by operations including applying at least one classifier () to at least one of () text descriptions of parts ordered for the service case and/or () a text description of the service case; and displaying a list () of one or more most probable malfunction areas for the service case wherein the one or more most probable malfunction areas are the one or more most malfunction areas of the set of malfunction areas having highest probability in the output probability vector.

System and method for automated or semi-automated identification of malfunction area(s) for maintenance cases

In planning an ablation procedure, a planned target volume (PTV) is imported, which is typically selected by a doctor but may be computer-identified. An ablation solution comprising a plurality of ablation volumes is generated or selected using a lookup table. Ablations sharing a common axis along a line of insertion are grouped into blocks. Alternatively, the PTV is enveloped in a sphere, and a pre-computed ablation solution (e.g., a 6- or 14-sphere solution) is identified to cover the PTV sphere. Optionally, a mathematical algorithm is executed to increase an axis through the ablation spheres to generate ellipsoidal ablation volumes that envelop the PTV.

Advanced ablation planning

Growing community of inventors

Eindhoven, Netherlands

Jurgen Jan Rusch