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NCT06950996
A Clinical Evaluation of AI Solutions Developed in the CHAIMELEON Project for Cancer: Prostate, Lung, Breast, Colon and Rectum
trial testing Risk in prostate cancer in Breast Cancer in 300 participants. Completed in 1 November 2024.
30 October 2024
Quick facts
| Lead sponsor | Instituto de Investigacion Sanitaria La Fe |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 300 |
| Start date | 1 September 2024 |
| Primary completion | 30 October 2024 |
| Estimated completion | 1 November 2024 |
| Sites | 1 location across Spain |
Drugs / interventions tested
- Risk in prostate cancer
- Life expectancy in lung cancer
- Histological subtype
- Staging of colon cancer
- invasion in rectum cancer
Conditions studied
- Breast Cancer — all drugs for Breast Cancer →
- Lung Cancer, Non-Small Cell — all drugs for Lung Cancer, Non-Small Cell →
- Colon Cancer — all drugs for Colon Cancer →
- Rectum Cancer — all drugs for Rectum Cancer →
Sponsor
Instituto de Investigacion Sanitaria La Fe — full company profile →
Who can join
Adults 18 to 85, any sex, with Breast Cancer or Lung Cancer, Non-Small Cell. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this observational study is to see how useful an experimental viewer and AI solutions are for clinicians in their daily work. The investigators want to find out if the AI helps clinicians interpret medical images for different types of cancer. The AI solutions aim to: * Classify whether prostate cancer is low or high risk * Classify the histological subtype in breast cancer * Estimate the life expectancy of patients with lung cancer * Determine the size of colon cancer, lymph node involvement and the possibility of metastasis.. * Assess the invasion of sorrounding tissues in the case of rectum cancer. The study will involve clinicians from various centres who will review a set of cases not previously analysed by the AI. Clinicians will do this in two phases: first using only their own expertise and then with the help of the AI solutions. The technical team want to see if the AI solutions assist clinicians and could become useful in the everyday clinical practice. Clinicians will complete a survey to share their feedback on the usability of the platform and how helpful the AI solutions are.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT06950996
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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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 NCT06950996 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Instituto de Investigacion Sanitaria La Fe
- Last refreshed: 30 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/NCT06950996.
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