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NCT06182332
An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care
NA trial testing Electronic Health Record Review in Advanced Malignant Female Reproductive System Neoplasm in 221 participants. Completed in 26 July 2024.
26 June 2024
Quick facts
| Lead sponsor | Mayo Clinic |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | screening |
| Enrollment | 221 |
| Start date | 11 December 2023 |
| Primary completion | 26 June 2024 |
| Estimated completion | 26 July 2024 |
| Sites | 1 location across United States |
Drugs / interventions tested
- Electronic Health Record Review
- Internet-Based Intervention
Conditions studied
- Advanced Malignant Female Reproductive System Neoplasm — all drugs for Advanced Malignant Female Reproductive System Neoplasm →
Sponsor
Mayo Clinic
Who can join
18 and older, any sex, with Advanced Malignant Female Reproductive System Neoplasm. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This clinical trial tests an artificial intelligence (AI) algorithm for its ability to identify patients who may benefit from a palliative care consult for gynecologic cancer that has spread from where it first started to nearby tissue, lymph nodes, or distant parts of the body (advanced). A significant delay in referral to palliative care often occurs among patients with cancer. This delay can lead to poorer symptom management, decreased quality of life, and care that does not align with patient goals or values. AI algorithms are computer programs that use step-by-step procedures to solve a problem. In this trial, an AI algorithm is applied to patients' medical records in order to identify patients with a high burden of disease. Information gathered from this study may help researchers learn whether this AI algorithm is useful for identifying patients who could benefit from outpatient palliative care consultation.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
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 -
Application of ultrasound in combination with other methods in gynecological disease: artificial intelligence, surgery, and drugs.
Shi S, Dai C, Liu D, Liu X. · · 2025 · PMID 40958876 · DOI 10.3389/fonc.2025.1567024
Verify or expand the search:
- PubMed search for NCT06182332
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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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 NCT06182332 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 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 Mayo Clinic
- Last refreshed: 4 April 2025
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/NCT06182332.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing