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NCT04277650: SHIELD-RT
System for High-Intensity Evaluation During Radiotherapy
NA trial testing Machine learning algorithm in Radiation Therapy Complication in 311 participants. Completed in 30 June 2019.
30 June 2019
Quick facts
| Lead sponsor | Duke University |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | supportive care |
| Enrollment | 311 |
| Start date | 7 September 2018 |
| Primary completion | 30 June 2019 |
| Estimated completion | 30 June 2019 |
| Sites | 1 location across United States |
Drugs / interventions tested
- Machine learning algorithm
Conditions studied
- Radiation Therapy Complication — all drugs for Radiation Therapy Complication →
- Chemotherapeutic Toxicity — all drugs for Chemotherapeutic Toxicity →
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):
-
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 -
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 -
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 -
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:
- PubMed search for NCT04277650
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other trials of Machine learning algorithm
Trials testing the same drug.
- NCT06029452 — A Retrospective Validation Study To Identify Chart-Based Clinical Diagnosis Of Wild-Type Transthyretin Amyloid Cardiomyo · completed
- NCT05122247 — Machine Learning to Predict Acute Care During Cancer Therapy · completed
Other recruiting trials for Radiation Therapy Complication
Currently open trials in the same condition.
- NCT05907681 — Prospective Observational Study on Outcome of High-precision Hypo-fractionated Radiotherapy in Metastatic Breast Cancer · recruiting
- NCT05218824 — Collection of Head Images During Radiotherapy · active not recruiting
Other Duke University trials
Trials by the same sponsor.
- NCT07216456 — Vaginal Dilator Therapy After Pelvic Radiation · NA · not yet recruiting
- NCT07519317 — Dosing and Deployment Trial: A Home-based Optokinetic Treatment · NA · not yet recruiting
- NCT07275359 — Investigating Senolytic Properties in Pulmonary Rehabilitation and Metformin in COPD Exacerbations · Phase 1 · not yet recruiting
- NCT07216963 — The Community Paramedic Response and Overdose Outreach With Supportive Medical-Legal Services Study · NA · not yet recruiting
- NCT07459218 — IDEAS for Hope to Reduce Suicide Risk and Improve HIV Care Engagement in Tanzania · NA · not yet recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04277650 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 9 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Duke University
- Last refreshed: 19 May 2021
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04277650.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing