METHOD OF PREDICTING CARCINOMIC METASTASES

Patent №

US 5,437,279

Granted

1995-08-01

Filed 1992

Owner

BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07908239

A method of predicting the locations of the lymph nodes most at risk of metastasis from a primary tumor of, e.g., the neck or head. The method utilizes data on the location of the primary tumor and the identity of lymph nodes to which the cancer has already spread. The data are transformated by a weighted multidimensional scaling (WMDS) process; points representing clusters of lymph nodes are placed in an imaginary mathematical space such that distances between points in that space are proportional to differences in the occurrence frequency of metastases.

AI classification

Vision0.96
Machine learning0.41
Knowledge representation0.30
AI hardware0.04
Planning0.04
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

assignment · 62560570

Assignors

GRAY, LINCOLN C.

On an employer assignment, the assignors are typically the inventors.

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