{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence",
    "query": {
      "intervention": "Artificial Intelligence"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 514,
    "total_pages": 52,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-03T12:47:19.323Z",
  "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": "NCT02464449",
      "title": "Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Back Pain"
      ],
      "interventions": [
        {
          "name": "Behavioral: AI-CBT",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Behavioral: Standard Telephone CBT",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "VA Office of Research and Development",
      "sponsor_class": "FED",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 278,
      "start_date": "2017-07-24",
      "completion_date": "2020-04-30",
      "has_results": true,
      "last_update_posted_date": "2023-07-27",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 2,
      "location_summary": "West Haven, Connecticut • Ann Arbor, Michigan",
      "locations": [
        {
          "city": "West Haven",
          "state": "Connecticut"
        },
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT02464449"
    },
    {
      "nct_id": "NCT07217808",
      "title": "Precision-Medicine Diagnostic Support in Hospitalized Veterans With Acute Kidney Injury",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Acute Kidney Injury (AKI)"
      ],
      "interventions": [
        {
          "name": "PRECISE-AKI Clinical Decision Support Tool",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "VA Office of Research and Development",
      "sponsor_class": "FED",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 60,
      "start_date": "2028-01-01",
      "completion_date": "2029-06-30",
      "has_results": false,
      "last_update_posted_date": "2025-10-16",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "Nashville, Tennessee",
      "locations": [
        {
          "city": "Nashville",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07217808"
    },
    {
      "nct_id": "NCT06013917",
      "title": "Artificial Intelligence (AI) Enabled, Cloud-based ECG Diagnostic Solution (ZBPro) Feasibility Testing",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Arrhythmias, Cardiac"
      ],
      "interventions": [
        {
          "name": "Cardiac Monitoring",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "ZBeats INC",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 75,
      "start_date": "2023-08-30",
      "completion_date": "2024-05",
      "has_results": false,
      "last_update_posted_date": "2023-09-26",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "Stony Brook, New York",
      "locations": [
        {
          "city": "Stony Brook",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06013917"
    },
    {
      "nct_id": "NCT02454660",
      "title": "Improving Adherence and Outcomes by Artificial Intelligence-Adapted Text Messages",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Medication Non-adherence"
      ],
      "interventions": [
        {
          "name": "SMS (Text messages)",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Michigan",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "21 Years and older"
      },
      "enrollment_count": 49,
      "start_date": "2015-05",
      "completion_date": "2016-11-04",
      "has_results": false,
      "last_update_posted_date": "2017-04-11",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 2,
      "location_summary": "Ann Arbor, Michigan • Grand Rapids, Michigan",
      "locations": [
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        },
        {
          "city": "Grand Rapids",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT02454660"
    },
    {
      "nct_id": "NCT05139797",
      "title": "Artificial Intelligence Guided Echocardiographic Screening of Rare Diseases (EchoNet-Screening)",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cardiac Amyloidosis"
      ],
      "interventions": [
        {
          "name": "EchoNet-LVH screening for cardiac amyloidosis",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Cedars-Sinai Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 300,
      "start_date": "2021-11-18",
      "completion_date": "2027-06-01",
      "has_results": false,
      "last_update_posted_date": "2026-07-22",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05139797"
    },
    {
      "nct_id": "NCT06298474",
      "title": "The BRAIN App (Phase 2 SBIR)",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Dementia",
        "Alzheimer Disease",
        "Vascular Dementia"
      ],
      "interventions": [
        {
          "name": "The BRAIN App",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Hopeful Aging",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 120,
      "start_date": "2025-05-15",
      "completion_date": "2026-07-30",
      "has_results": false,
      "last_update_posted_date": "2025-06-19",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "Winchester, Massachusetts",
      "locations": [
        {
          "city": "Winchester",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06298474"
    },
    {
      "nct_id": "NCT06934239",
      "title": "A Trial Comparing Screening Mammography With and Without Assistance From Artificial Intelligence for Breast Cancer Detection and Recall Rates in Adult Patients",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE4"
      ],
      "conditions": [
        "Breast Cancer Screening",
        "Artificial Intelligence (AI)"
      ],
      "interventions": [
        {
          "name": "Artificial intelligence (AI) decision-support tool",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Jonsson Comprehensive Cancer Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 400000,
      "start_date": "2025-10-15",
      "completion_date": "2030-03-01",
      "has_results": false,
      "last_update_posted_date": "2025-11-26",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 6,
      "location_summary": "Los Angeles, California • San Diego, California • Miami, Florida + 3 more",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        },
        {
          "city": "San Diego",
          "state": "California"
        },
        {
          "city": "Miami",
          "state": "Florida"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Seattle",
          "state": "Washington"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06934239"
    },
    {
      "nct_id": "NCT06337734",
      "title": "An Artificial Intelligence-Assisted Digital Health Lifestyle Intervention for Adults With Hypertension",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Hypertension"
      ],
      "interventions": [
        {
          "name": "AI-Driven Lifestyle Coaching Program",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, San Diego",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 141,
      "start_date": "2021-11-01",
      "completion_date": "2023-08-01",
      "has_results": false,
      "last_update_posted_date": "2024-04-01",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "La Jolla, California",
      "locations": [
        {
          "city": "La Jolla",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06337734"
    },
    {
      "nct_id": "NCT07151001",
      "title": "Pivotal Trial of Automated Artificial Intelligence (AI) Based System for Early Diagnosis of Diabetic Retinopathy",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Diabetes",
        "Diabetic Retinopathy"
      ],
      "interventions": [
        {
          "name": "No intervention",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "iHealthScreen Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "22 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "22 Years and older"
      },
      "enrollment_count": 922,
      "start_date": "2025-01-01",
      "completion_date": "2027-07-31",
      "has_results": false,
      "last_update_posted_date": "2025-09-02",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "Richmond Hill, New York",
      "locations": [
        {
          "city": "Richmond Hill",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07151001"
    },
    {
      "nct_id": "NCT07746648",
      "title": "AI SNF Discharge Quality Improvement Project",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Skilled Nursing Facility Patients"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "NYU Langone Health",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 30,
      "start_date": "2026-09",
      "completion_date": "2027-03",
      "has_results": false,
      "last_update_posted_date": "2026-08-05",
      "last_synced_at": "2026-09-03T12:47:19.323Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07746648"
    }
  ]
}