MedTrace Logo

Multi-center Database Registry to Study Thalamus Changes Using AI in MS

NCT03920995 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-03-06

No results posted yet for this study

Summary

In this study the Investigator's propose to validate a newly developed approach, DeepGRAI (Deep Gray Rating via Artificial Intelligence), to simplify the calculation of thalamic atrophy in a clinical routine and allow academic and community neurologists to plan, perform, and publish novel and influential clinical research using data from clinical routine, by employing deep machine learning (DML) pattern recognition (PR) information through use of artificial intelligence (AI).

Conditions

Sponsors & Collaborators

  • Celgene

    collaborator INDUSTRY

  • University at Buffalo

    lead OTHER

Principal Investigators

  • Robert Zivadinov · University at Buffalo

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-04-01
Primary Completion
2023-10-31
Completion
2023-10-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03920995 on ClinicalTrials.gov