{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence+%28AI%29+Activity&page=2",
    "query": {
      "intervention": "Artificial Intelligence (AI) Activity",
      "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+%28AI%29+Activity&page=1&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-09-28T06:49:22.320Z",
  "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": "NCT07768670",
      "title": "AI-Based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Feasibility Studies",
        "Physical Activity",
        "Mental Health (Depression)",
        "Anxiety",
        "Quality of Life"
      ],
      "interventions": [
        {
          "name": "Fitness app powered by AI and wearable device",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "The University of Tennessee, Knoxville",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 20,
      "start_date": "2026-10-01",
      "completion_date": "2026-12-31",
      "has_results": false,
      "last_update_posted_date": "2026-08-20",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "Knoxville, Tennessee",
      "locations": [
        {
          "city": "Knoxville",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07768670"
    },
    {
      "nct_id": "NCT06474754",
      "title": "Submaximal Cardiopulmonary Exercise Testing for Detection of Myocardial Injury After Noncardiac Surgery",
      "overall_status": "TERMINATED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Myocardial Injury After Non-cardiac Surgery",
        "Submaximal Exercise Performance",
        "Preoperative Period"
      ],
      "interventions": [
        {
          "name": "High-sensitivity troponin, serum",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Submaximal Cardiopulmonary Exercise Testing",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Duke Activity Status Index",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Yale University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "45 Years and older"
      },
      "enrollment_count": 10,
      "start_date": "2025-03-30",
      "completion_date": "2026-04-30",
      "has_results": false,
      "last_update_posted_date": "2026-05-22",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "New Haven, Connecticut",
      "locations": [
        {
          "city": "New Haven",
          "state": "Connecticut"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06474754"
    },
    {
      "nct_id": "NCT07116902",
      "title": "Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 2 Diabetes"
      ],
      "interventions": [
        {
          "name": "phone application",
          "type": "DEVICE"
        },
        {
          "name": "Standard of Care (SOC)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "University of California, San Francisco",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "10 Years",
        "maximum_age": "21 Years",
        "sex": "ALL",
        "summary": "10 Years to 21 Years"
      },
      "enrollment_count": 50,
      "start_date": "2026-04",
      "completion_date": "2026-09",
      "has_results": false,
      "last_update_posted_date": "2025-12-04",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 2,
      "location_summary": "Oakland, California • San Francisco, California",
      "locations": [
        {
          "city": "Oakland",
          "state": "California"
        },
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07116902"
    },
    {
      "nct_id": "NCT07599852",
      "title": "MEDBRIDGE-Guided NCM/CHW Post-Discharge Support for High-Risk T2D Patients",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 2 Diabetes",
        "Medication Adherence",
        "Care Transition",
        "Medication Discrepancy"
      ],
      "interventions": [
        {
          "name": "MEDBRIDGE-Guided NCM/CHW Post-Discharge Support Intervention",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Alabama at Birmingham",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 45,
      "start_date": "2029-05-01",
      "completion_date": "2031-04-30",
      "has_results": false,
      "last_update_posted_date": "2026-05-20",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 2,
      "location_summary": "Birmingham, Alabama",
      "locations": [
        {
          "city": "Birmingham",
          "state": "Alabama"
        },
        {
          "city": "Birmingham",
          "state": "Alabama"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07599852"
    },
    {
      "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": "2026-11-30",
      "has_results": false,
      "last_update_posted_date": "2026-09-15",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "Winchester, Massachusetts",
      "locations": [
        {
          "city": "Winchester",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06298474"
    },
    {
      "nct_id": "NCT05077722",
      "title": "Monitoring of Sleep and Behavior of Children 3-7 Years Old Receiving Parent-Child Interaction Therapy With the Help of Artificial Intelligence",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Disruptive Behavior",
        "Attention-deficit Hyperactivity",
        "Oppositional Defiant Disorder"
      ],
      "interventions": [
        {
          "name": "Garmin",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Mayo Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "3 Years",
        "maximum_age": "99 Years",
        "sex": "ALL",
        "summary": "3 Years to 99 Years"
      },
      "enrollment_count": 100,
      "start_date": "2022-03-24",
      "completion_date": "2023-12-01",
      "has_results": false,
      "last_update_posted_date": "2024-03-22",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "Rochester, Minnesota",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05077722"
    },
    {
      "nct_id": "NCT03969056",
      "title": "AI Activity Study in Patients With Elevated Blood Pressure",
      "overall_status": "TERMINATED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Hypertension"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence (AI) Activity",
          "type": "BEHAVIORAL"
        },
        {
          "name": "10,000 steps",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, San Francisco",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 7,
      "start_date": "2020-02-06",
      "completion_date": "2020-04-30",
      "has_results": false,
      "last_update_posted_date": "2023-12-20",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03969056"
    },
    {
      "nct_id": "NCT07452016",
      "title": "AI-guided Prediction and Treatment of Cardiac Arrest",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Sudden Cardiac Arrest"
      ],
      "interventions": [
        {
          "name": "Machine learning-guided cardiac arrest prediction device",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "MetroHealth Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 68,
      "start_date": "2026-08",
      "completion_date": "2029-06",
      "has_results": false,
      "last_update_posted_date": "2026-03-16",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "Cleveland, Ohio",
      "locations": [
        {
          "city": "Cleveland",
          "state": "Ohio"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07452016"
    },
    {
      "nct_id": "NCT07463833",
      "title": "Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Cancer",
        "Prostate Cancer"
      ],
      "interventions": [
        {
          "name": "The Artificial Intelligence (AI)/ Machine Learning (ML) contribution to treatment planning",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "UNC Lineberger 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": 207,
      "start_date": "2026-06-22",
      "completion_date": "2027-07",
      "has_results": false,
      "last_update_posted_date": "2026-06-23",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "Chapel Hill, North Carolina",
      "locations": [
        {
          "city": "Chapel Hill",
          "state": "North Carolina"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07463833"
    },
    {
      "nct_id": "NCT07598721",
      "title": "Ambient AI Clinical Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Artificial Intelligence (AI)",
        "Physician Burnout",
        "Physician Work Environment"
      ],
      "interventions": [
        {
          "name": "Use of Ambient AI scribe tool on participant's mobile device",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Washington",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 139,
      "start_date": "2024-12-19",
      "completion_date": "2025-07-04",
      "has_results": false,
      "last_update_posted_date": "2026-05-28",
      "last_synced_at": "2026-09-28T06:49:22.320Z",
      "location_count": 1,
      "location_summary": "Seattle, Washington",
      "locations": [
        {
          "city": "Seattle",
          "state": "Washington"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07598721"
    }
  ]
}