{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=AI+model+classification",
    "query": {
      "intervention": "AI model classification"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 3,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-01T23:47:04.300Z",
  "attribution": "Data derived from public ClinicalTrials.gov records. The official record at https://clinicaltrials.gov/ remains the source of truth for current availability, contacts, and full study details.",
  "notes": [
    "This endpoint exposes only public summary fields — no participant contact emails, phone numbers, or scraped investigator contact details.",
    "For contact information and full protocol detail, follow each trial's `official_url` to the ClinicalTrials.gov record.",
    "This API is a navigational aid. It does not provide medical advice, eligibility determinations, or compensation guarantees."
  ],
  "trials": [
    {
      "nct_id": "NCT05147389",
      "title": "Artificial Intelligence for Digital Cholangioscopy Neoplasia Diagnosis",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Common Bile Duct Neoplasms",
        "Non-Neoplastic Bile Duct Disorder"
      ],
      "interventions": [
        {
          "name": "AI model classification",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "DSOC endoscopist experts' classification",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Instituto Ecuatoriano de Enfermedades Digestivas",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "79 Years",
        "sex": "ALL",
        "summary": "18 Years to 79 Years"
      },
      "enrollment_count": 170,
      "start_date": "2020-10-01",
      "completion_date": "2022-05-01",
      "has_results": false,
      "last_update_posted_date": "2022-11-17",
      "last_synced_at": "2026-09-01T23:47:04.300Z",
      "location_count": 3,
      "location_summary": "New Brunswick, New Jersey • Houston, Texas",
      "locations": [
        {
          "city": "New Brunswick",
          "state": "New Jersey"
        },
        {
          "city": "Houston",
          "state": "Texas"
        },
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05147389"
    },
    {
      "nct_id": "NCT06568523",
      "title": "Study to Evaluate the Diagnostic Performance of of MAGENTIQ-COLO During Colonoscopy.",
      "overall_status": "UNKNOWN",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Screening Colonoscopy",
        "Surveillance Colonoscopy"
      ],
      "interventions": [
        {
          "name": "MAGENTIQ-COLO.",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Magentiq Eye LTD",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": "80 Years",
        "sex": "ALL",
        "summary": "45 Years to 80 Years"
      },
      "enrollment_count": 330,
      "start_date": "2024-09-15",
      "completion_date": "2025-08-31",
      "has_results": false,
      "last_update_posted_date": "2024-08-23",
      "last_synced_at": "2026-09-01T23:47:04.300Z",
      "location_count": 2,
      "location_summary": "Baltimore, Maryland • Chattanooga, Tennessee",
      "locations": [
        {
          "city": "Baltimore",
          "state": "Maryland"
        },
        {
          "city": "Chattanooga",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06568523"
    },
    {
      "nct_id": "NCT07231627",
      "title": "AI Algorithm-Informed Biopsy for Prostate Cancer Detection With Indeterminate and Low-Risk Prostate MRI Lesions",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Prostate Cancer"
      ],
      "interventions": [
        {
          "name": "Bi-parametric MRI-based cascaded deep-learning AI algorithm",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "University of Arkansas",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "40 Years",
        "maximum_age": null,
        "sex": "MALE",
        "summary": "40 Years and older · Male only"
      },
      "enrollment_count": 50,
      "start_date": "2026-06-19",
      "completion_date": "2029-01",
      "has_results": false,
      "last_update_posted_date": "2026-08-19",
      "last_synced_at": "2026-09-01T23:47:04.300Z",
      "location_count": 1,
      "location_summary": "Little Rock, Arkansas",
      "locations": [
        {
          "city": "Little Rock",
          "state": "Arkansas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07231627"
    }
  ]
}