{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+intelligence&page=2",
    "query": {
      "intervention": "Artificial intelligence",
      "page": 2
    },
    "page_size": 10
  },
  "pagination": {
    "page": 2,
    "page_size": 10,
    "total_count": 10,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+intelligence&page=1&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-09-12T14:49:20.129Z",
  "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": "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": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "Kansas City, Missouri",
      "locations": [
        {
          "city": "Kansas City",
          "state": "Missouri"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05611151"
    },
    {
      "nct_id": "NCT07316153",
      "title": "Deep Sleep in Older Adults",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE2"
      ],
      "conditions": [
        "Insomnia",
        "Insomnia Chronic"
      ],
      "interventions": [
        {
          "name": "CBT-I-IoT-AI",
          "type": "BEHAVIORAL"
        },
        {
          "name": "SleepEZ CBTi",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Sleep Hygiene IoT",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Proactive Life Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 180,
      "start_date": "2026-03-01",
      "completion_date": "2026-12-30",
      "has_results": false,
      "last_update_posted_date": "2026-01-05",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07316153"
    },
    {
      "nct_id": "NCT07560631",
      "title": "SeeMe: Using Automated Facial Tracking to Detect Voluntary Behavior in Brain Injury",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Traumatic Brain Injury (TBI) Patients",
        "Severe Traumatic Brain Injury"
      ],
      "interventions": [
        {
          "name": "SeeMe Multimodal Auditory Command Protocol",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Stony Brook University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "22 Years",
        "maximum_age": "85 Years",
        "sex": "ALL",
        "summary": "22 Years to 85 Years"
      },
      "enrollment_count": 80,
      "start_date": "2026-03-30",
      "completion_date": "2029-12",
      "has_results": false,
      "last_update_posted_date": "2026-05-05",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "Stony Brook, New York",
      "locations": [
        {
          "city": "Stony Brook",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07560631"
    },
    {
      "nct_id": "NCT07425236",
      "title": "Argus 2.0 Adoption Study",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Diabetes",
        "Diabetes Mellitus, Type 1 Diabetes",
        "Diabetes Mellitus, Type 2",
        "Prediabetes"
      ],
      "interventions": [
        {
          "name": "KOS Argus Continuous Glucose Monitoring System",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "KOS Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "18 Years to 75 Years"
      },
      "enrollment_count": 100,
      "start_date": "2026-04-19",
      "completion_date": "2027-08-19",
      "has_results": false,
      "last_update_posted_date": "2026-02-20",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "San Mateo, California",
      "locations": [
        {
          "city": "San Mateo",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07425236"
    },
    {
      "nct_id": "NCT07336537",
      "title": "Evaluating the Acceptability, Feasibility and Usability of Various Conversational Data Collection Software",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Chronic Pain",
        "Mental Health Disorders",
        "Behavioral Health Challenges",
        "Ecological Momentary Assessment Best Practices"
      ],
      "interventions": [
        {
          "name": "Digital Biopsychosocial Conversational Data Collection Software",
          "type": "OTHER"
        },
        {
          "name": "Standard Digital Questionnaire Data Collection",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "AugMend Health Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 100,
      "start_date": "2025-10-03",
      "completion_date": "2026-07-31",
      "has_results": false,
      "last_update_posted_date": "2026-01-13",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "Cambridge, Massachusetts",
      "locations": [
        {
          "city": "Cambridge",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07336537"
    },
    {
      "nct_id": "NCT05459545",
      "title": "Real-World Evaluation of Eko Algorithms in a Point of Care Setting",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Murmur, Heart",
        "Innocent Murmurs",
        "Heart Murmurs",
        "Pathologic Murmur",
        "Atrial Fibrillation"
      ],
      "interventions": [
        {
          "name": "Use of Eko CORE and Eko CORE 500 electronic stethoscope",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Eko Devices, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 371,
      "start_date": "2022-04-15",
      "completion_date": "2023-06-30",
      "has_results": false,
      "last_update_posted_date": "2024-11-25",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 5,
      "location_summary": "Haverhill, Massachusetts • Lawrence, Massachusetts • Dunn, North Carolina + 1 more",
      "locations": [
        {
          "city": "Haverhill",
          "state": "Massachusetts"
        },
        {
          "city": "Lawrence",
          "state": "Massachusetts"
        },
        {
          "city": "Dunn",
          "state": "North Carolina"
        },
        {
          "city": "Lillington",
          "state": "North Carolina"
        },
        {
          "city": "Lillington",
          "state": "North Carolina"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05459545"
    },
    {
      "nct_id": "NCT07304050",
      "title": "Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Clinical Deterioration"
      ],
      "interventions": [
        {
          "name": "PICTURE-Pediatric scores and alerts",
          "type": "DEVICE"
        },
        {
          "name": "Control Arm - Scores and alerts hidden",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "University of Michigan",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "30 Days",
        "maximum_age": "25 Years",
        "sex": "ALL",
        "summary": "30 Days to 25 Years"
      },
      "enrollment_count": 375,
      "start_date": "2026-02-09",
      "completion_date": "2027-01",
      "has_results": false,
      "last_update_posted_date": "2026-03-05",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "Ann Arbor, Michigan",
      "locations": [
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07304050"
    },
    {
      "nct_id": "NCT04967352",
      "title": "Predicting Chronic Pain Following Breast Surgery",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Chronic Pain",
        "Opioid Use",
        "Breast Pain",
        "Breast Cancer"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "University of California, San Diego",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 500,
      "start_date": "2021-07-19",
      "completion_date": "2023-12-31",
      "has_results": false,
      "last_update_posted_date": "2023-07-27",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "La Jolla, California",
      "locations": [
        {
          "city": "La Jolla",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04967352"
    },
    {
      "nct_id": "NCT07225426",
      "title": "Personalizing Financial Incentives",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Obesity & Overweight"
      ],
      "interventions": [
        {
          "name": "personalized financial incentives",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Utah",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 94,
      "start_date": "2026-02-04",
      "completion_date": "2027-02-28",
      "has_results": false,
      "last_update_posted_date": "2026-08-13",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 1,
      "location_summary": "Salt Lake City, Utah",
      "locations": [
        {
          "city": "Salt Lake City",
          "state": "Utah"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07225426"
    },
    {
      "nct_id": "NCT07216859",
      "title": "Screening Cardiometabolic Opportunities Using Transformative Echocardiography Artificial Intelligence (SCOUT Echo-AI)",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "MASLD - Metabolic Dysfunction-Associated Steatotic Liver Disease",
        "Cirrhosis"
      ],
      "interventions": [
        {
          "name": "AI-Enabled Identification (EchoNet-Liver)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Kaiser Permanente",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 2000,
      "start_date": "2028-01-01",
      "completion_date": "2028-11-01",
      "has_results": false,
      "last_update_posted_date": "2026-08-13",
      "last_synced_at": "2026-09-12T14:49:20.129Z",
      "location_count": 6,
      "location_summary": "Los Angeles, California • Palo Alto, California • Pleasanton, California + 2 more",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        },
        {
          "city": "Los Angeles",
          "state": "California"
        },
        {
          "city": "Palo Alto",
          "state": "California"
        },
        {
          "city": "Pleasanton",
          "state": "California"
        },
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07216859"
    }
  ]
}