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NCT04277650: SHIELD-RT

System for High-Intensity Evaluation During Radiotherapy

Completed NA Last updated 19 May 2021
What this trial tests

NA trial testing Machine learning algorithm in Radiation Therapy Complication in 311 participants. Completed in 30 June 2019.

Timeline
7 September 2018
Primary endpoint
30 June 2019
30 June 2019

Quick facts

Lead sponsorDuke University
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingnone
Primary purposesupportive care
Enrollment311
Start date7 September 2018
Primary completion30 June 2019
Estimated completion30 June 2019
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Duke University

Who can join

18 and older, any sex, with Radiation Therapy Complication or Chemotherapeutic Toxicity. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This quality improvement project will evaluate the implementation of a previously described intervention (twice per week on-treatment clinical evaluations) in a feasible fashion using a previously described machine learning algorithm identifying patients identified at high risk for an emergency visit or hospitalization during radiation therapy.

Publications & conference data

4 peer-reviewed publications reference this trial (live from Europe PMC):

  1. System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation.
    Hong JC, Eclov NCW, Dalal NH, Thomas SM, et al · · 2020 · cited 70× · PMID 32886536 · DOI 10.1200/jco.20.01688
  2. Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study.
    Hong JC, Eclov NCW, Stephens SJ, Mowery YM, et al · · 2022 · cited 7× · PMID 36180836 · DOI 10.1186/s12859-022-04940-3
  3. Health Care Cost Reductions with Machine Learning-Directed Evaluations during Radiation Therapy - An Economic Analysis of a Randomized Controlled Study.
    Natesan D, Eisenstein EL, Thomas SM, Eclov NCW, et al · · 2024 · cited 5× · PMID 38586278 · DOI 10.1056/aioa2300118
  4. Artificial Intelligence in Oncology: A 10-Year ClinicalTrials.gov-Based Analysis Across the Cancer Control Continuum.
    Verma H, Mistry S, Jayam KV, Shrestha P, et al · · 2025 · PMID 41228330 · DOI 10.3390/cancers17213537

Verify or expand the search:

Other trials of Machine learning algorithm

Trials testing the same drug.

Other recruiting trials for Radiation Therapy Complication

Currently open trials in the same condition.

Other Duke University trials

Trials by the same sponsor.

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Data sources for this page

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