{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Colonoscopy+With+Computer-Aided+Detection",
    "query": {
      "intervention": "Colonoscopy With Computer-Aided Detection"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 12,
    "total_pages": 2,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Colonoscopy+With+Computer-Aided+Detection&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-02T09:22:52.967Z",
  "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": "NCT00997802",
      "title": "Japanese National Computed Tomographic (CT) Colonography Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colonic Polyps",
        "Colonic Neoplasms"
      ],
      "interventions": [
        {
          "name": "CT colonography and optical colonoscopy",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Japanese CT Colonography Society",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "20 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "20 Years and older"
      },
      "enrollment_count": 1257,
      "start_date": "2009-10",
      "completion_date": "2017-01",
      "has_results": false,
      "last_update_posted_date": "2017-03-17",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT00997802"
    },
    {
      "nct_id": "NCT06676930",
      "title": "Impact of Artificial Intelligence on Trainee Polyp Miss Rates",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colon Polyps",
        "Colonoscopy",
        "Artificial Intelligence (AI)"
      ],
      "interventions": [
        {
          "name": "Colonoscopy With Computer-Aided Detection",
          "type": "DEVICE"
        },
        {
          "name": "Colonoscopy without Computer-Aided Detection",
          "type": "PROCEDURE"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "PROCEDURE"
      ],
      "sponsor": "Northwestern University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 180,
      "start_date": "2024-09-10",
      "completion_date": "2026-09",
      "has_results": false,
      "last_update_posted_date": "2024-11-06",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06676930"
    },
    {
      "nct_id": "NCT05611151",
      "title": "Real-time Computer-Aided Detection of Colonic Adenomas With NEC WISE VISION® Endoscopy",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colorectal Cancer",
        "Adenoma Colon",
        "Polyp of Colon"
      ],
      "interventions": [
        {
          "name": "Computer Aided Detection (CADe)",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "NEC Corporation",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "45 Years to 75 Years"
      },
      "enrollment_count": 830,
      "start_date": "2023-04-30",
      "completion_date": "2024-09-10",
      "has_results": false,
      "last_update_posted_date": "2024-09-19",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 1,
      "location_summary": "Kansas City, Missouri",
      "locations": [
        {
          "city": "Kansas City",
          "state": "Missouri"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05611151"
    },
    {
      "nct_id": "NCT06621225",
      "title": "Artificial Intelligence in Colonoscopy",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colorectal Carcinoma"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence",
          "type": "DEVICE"
        },
        {
          "name": "Mucosal Exposure Device",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Pankaj Patel",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "75 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "75 Years and older"
      },
      "enrollment_count": 264,
      "start_date": "2022-11-22",
      "completion_date": "2023-06-30",
      "has_results": false,
      "last_update_posted_date": "2024-10-01",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 1,
      "location_summary": "Sebring, Florida",
      "locations": [
        {
          "city": "Sebring",
          "state": "Florida"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06621225"
    },
    {
      "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": "2026-09-02T09:22:52.967Z",
      "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": "NCT01200303",
      "title": "Evaluation of Computer-assisted, Non-cathartic CT Colonography",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE2",
        "PHASE3"
      ],
      "conditions": [
        "Colonic Polyps"
      ],
      "interventions": [
        {
          "name": "non-cathartic CTC",
          "type": "PROCEDURE"
        }
      ],
      "intervention_types": [
        "PROCEDURE"
      ],
      "sponsor": "Massachusetts General Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "50 Years",
        "maximum_age": "80 Years",
        "sex": "ALL",
        "summary": "50 Years to 80 Years"
      },
      "enrollment_count": 605,
      "start_date": "2005-06",
      "completion_date": "2011-01",
      "has_results": false,
      "last_update_posted_date": "2015-08-05",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 3,
      "location_summary": "San Francisco, California • Boston, Massachusetts",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT01200303"
    },
    {
      "nct_id": "NCT04754347",
      "title": "Computer Aided Detection of Polyps in Colonoscopy",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colorectal Polyp"
      ],
      "interventions": [
        {
          "name": "Computer Aided Detection device",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Iterative Scopes, Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "40 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "40 Years and older"
      },
      "enrollment_count": 1472,
      "start_date": "2021-01-22",
      "completion_date": "2021-10-31",
      "has_results": false,
      "last_update_posted_date": "2021-12-01",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 5,
      "location_summary": "Boston, Massachusetts • Cambridge, Massachusetts • Plymouth, Minnesota + 1 more",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Cambridge",
          "state": "Massachusetts"
        },
        {
          "city": "Plymouth",
          "state": "Minnesota"
        },
        {
          "city": "Concord",
          "state": "New Hampshire"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04754347"
    },
    {
      "nct_id": "NCT03954548",
      "title": "CB-17-08 Augmented Endoscopy System for Mucosal Lesion Detection During Colonoscopy for Colon Rectal Cancer.",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colorectal Cancer"
      ],
      "interventions": [
        {
          "name": "CB-17-08 CADe",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Cosmo Artificial Intelligence-AI Ltd",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "45 Years and older"
      },
      "enrollment_count": 249,
      "start_date": "2020-02-17",
      "completion_date": "2021-05-07",
      "has_results": false,
      "last_update_posted_date": "2021-05-12",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 7,
      "location_summary": "Scottsdale, Arizona • Danville, California • Jacksonville, Florida + 4 more",
      "locations": [
        {
          "city": "Scottsdale",
          "state": "Arizona"
        },
        {
          "city": "Danville",
          "state": "California"
        },
        {
          "city": "Jacksonville",
          "state": "Florida"
        },
        {
          "city": "Kansas City",
          "state": "Kansas"
        },
        {
          "city": "Detroit",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03954548"
    },
    {
      "nct_id": "NCT04074577",
      "title": "Computer Aided Detection, Tandem Colonoscopy Study",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colonic Diseases"
      ],
      "interventions": [
        {
          "name": "Standard technique First",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "combination technique First",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "NYU Langone Health",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "22 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "22 Years and older"
      },
      "enrollment_count": 32,
      "start_date": "2020-09-17",
      "completion_date": "2020-10-14",
      "has_results": false,
      "last_update_posted_date": "2021-06-29",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04074577"
    },
    {
      "nct_id": "NCT04555135",
      "title": "A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures",
      "overall_status": "TERMINATED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colon Polyp",
        "Colon Neoplasm",
        "Colon Adenoma"
      ],
      "interventions": [
        {
          "name": "EndoVigilant Software",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "EndoVigilant Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "45 Years and older"
      },
      "enrollment_count": 769,
      "start_date": "2020-09-28",
      "completion_date": "2021-11-30",
      "has_results": false,
      "last_update_posted_date": "2022-04-01",
      "last_synced_at": "2026-09-02T09:22:52.967Z",
      "location_count": 4,
      "location_summary": "Mission Viejo, California • Waterbury, Connecticut • Greenbelt, Maryland + 1 more",
      "locations": [
        {
          "city": "Mission Viejo",
          "state": "California"
        },
        {
          "city": "Waterbury",
          "state": "Connecticut"
        },
        {
          "city": "Greenbelt",
          "state": "Maryland"
        },
        {
          "city": "North Brunswick",
          "state": "New Jersey"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04555135"
    }
  ]
}