A tool for improving the longitudinal imaging characterization for neuro-oncology cases.
We describe the development of a prototype tool for the construction of longitudinal cases studies that can be used for teaching files, construction of clinical databases, and for patient education. The test domain is neuro-oncology. The features of the tool include: 1) natural language processing tools to assist structuring report information; 2) integration of imaging data; 3) integration of drug information; 4) target data model that includes the dimensions of space, time, existence, and causality; 5) user interface that provides three levels of information including overview, filtered summarization, and details on demand. The results of this preliminary work include a full prototype for neuro-oncology patients that allow users an efficient means for scanning a patients imaging and support data.
Taira
Ricky K
RK
Medical Imaging Informatics, UCLA, Los Angeles, CA, USA.
Taira
Ricky
R
Bui
Alex
A
Bui
Alex At
AA
Hsu
William
W
Bashyam
Vijayaraghavan
V
Dube
Shishir
S
Watt
Emily
E
Andrada
Lewellyn
L
El-Saden
Suzie
S
Cloughesy
Timothy
T
Kangarloo
Hooshang
H
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008137:Longitudinal Studies; D008487:Medical History Taking / Q000379:methods*; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D009423:Nervous System Neoplasms / Q000175:diagnosis* / Q000628:therapy*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012984:Software; D013358:Subject Headings; D014481:United States