{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence+based+Intervention&page=5",
    "query": {
      "intervention": "Artificial Intelligence based Intervention",
      "page": 5
    },
    "page_size": 10
  },
  "pagination": {
    "page": 5,
    "page_size": 10,
    "total_count": 104,
    "total_pages": 11,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence+based+Intervention&page=6&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence+based+Intervention&page=4&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-22T09:47:21.558Z",
  "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": "NCT07701668",
      "title": "AI-CONECT: A Conversational AI for Early Dementia Prevention in Socially-Isolated Older Adults",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Mild Cognitive Impairment (MCI)",
        "Social Isolation"
      ],
      "interventions": [
        {
          "name": "AI-based conversational intervention",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Massachusetts General Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "75 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "75 Years and older"
      },
      "enrollment_count": 80,
      "start_date": "2026-10-01",
      "completion_date": "2028-09-30",
      "has_results": false,
      "last_update_posted_date": "2026-08-25",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07701668"
    },
    {
      "nct_id": "NCT06246045",
      "title": "Artificial Intelligence to StrategiCally Enhance Pulmonary Embolism Response Team Activation",
      "overall_status": "WITHDRAWN",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Pulmonary Embolism Subacute Massive"
      ],
      "interventions": [
        {
          "name": "Walking test",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "University Hospitals Cleveland Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "99 Years",
        "sex": "ALL",
        "summary": "18 Years to 99 Years"
      },
      "enrollment_count": 0,
      "start_date": "2025-01-01",
      "completion_date": "2026-01-01",
      "has_results": false,
      "last_update_posted_date": "2025-01-23",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Cleveland, Ohio",
      "locations": [
        {
          "city": "Cleveland",
          "state": "Ohio"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06246045"
    },
    {
      "nct_id": "NCT05275556",
      "title": "Gastroenterology Artificial INtelligence System for Detecting Colorectal Polyps (The GAIN Study)",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colon Adenoma",
        "Colon Polyp",
        "Colon Lesion"
      ],
      "interventions": [
        {
          "name": "Computer-Assisted Detection (CADe) Device",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Verily Life Sciences LLC",
      "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": 1410,
      "start_date": "2022-03-01",
      "completion_date": "2022-10-28",
      "has_results": true,
      "last_update_posted_date": "2025-01-14",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 5,
      "location_summary": "Rochester, Minnesota • Durham, North Carolina • Mentor, Ohio + 2 more",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        },
        {
          "city": "Durham",
          "state": "North Carolina"
        },
        {
          "city": "Mentor",
          "state": "Ohio"
        },
        {
          "city": "Camp Hill",
          "state": "Pennsylvania"
        },
        {
          "city": "El Paso",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05275556"
    },
    {
      "nct_id": "NCT06959901",
      "title": "PATHS-UP Health Behavior Self-monitoring Mobile App for Adolescents",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Obesity and Diabetes Mellitus, Type 2",
        "Diabetes Prevention"
      ],
      "interventions": [
        {
          "name": "PATHS-UP Mobile Phone Application",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Baylor College of Medicine",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "12 Years",
        "maximum_age": "18 Years",
        "sex": "ALL",
        "summary": "12 Years to 18 Years"
      },
      "enrollment_count": 30,
      "start_date": "2025-04-30",
      "completion_date": "2026-08-01",
      "has_results": false,
      "last_update_posted_date": "2026-07-07",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Houston, Texas",
      "locations": [
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06959901"
    },
    {
      "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": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03969056"
    },
    {
      "nct_id": "NCT07296770",
      "title": "An Artificial Intelligence Driven Approach to Optimize Patient Selection for a Transitional Pain Service",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE3"
      ],
      "conditions": [
        "Postsurgical Pain Management",
        "Postsurgical Pain, Chronic",
        "Opioid Use After Surgery"
      ],
      "interventions": [
        {
          "name": "TPS-Select",
          "type": "DEVICE"
        },
        {
          "name": "Pharmacologic Pain Management",
          "type": "DRUG"
        },
        {
          "name": "Interventional Pain Procedures",
          "type": "PROCEDURE"
        },
        {
          "name": "Psychological Management and Pain Education",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Physical Therapy",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "DRUG",
        "PROCEDURE",
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, San Francisco",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 474,
      "start_date": "2026-10-01",
      "completion_date": "2029-12-01",
      "has_results": false,
      "last_update_posted_date": "2026-10-09",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07296770"
    },
    {
      "nct_id": "NCT05967260",
      "title": "DailyDose Smart Snack Study for T1D on MDI",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 1 Diabetes Mellitus With Hypoglycemia"
      ],
      "interventions": [
        {
          "name": "DailyDose Smart Snack app",
          "type": "DEVICE"
        },
        {
          "name": "Dexcom G6 CGM",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Oregon Health and Science University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "100 Years",
        "sex": "ALL",
        "summary": "18 Years to 100 Years"
      },
      "enrollment_count": 21,
      "start_date": "2023-09-01",
      "completion_date": "2024-09-20",
      "has_results": true,
      "last_update_posted_date": "2025-05-31",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Portland, Oregon",
      "locations": [
        {
          "city": "Portland",
          "state": "Oregon"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05967260"
    },
    {
      "nct_id": "NCT07772596",
      "title": "An Artificial Intelligence-Powered Supportive Care Chatbot to Address the Supportive Care Needs of Young Adult Cancer Survivors",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Hematopoietic and Lymphatic System Neoplasm",
        "Malignant Solid Neoplasm"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence-based Intervention",
          "type": "OTHER"
        },
        {
          "name": "Interview",
          "type": "OTHER"
        },
        {
          "name": "Survey Administration",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Michigan Rogel Cancer Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "39 Years",
        "sex": "ALL",
        "summary": "18 Years to 39 Years"
      },
      "enrollment_count": 30,
      "start_date": "2026-09-15",
      "completion_date": "2028-09",
      "has_results": false,
      "last_update_posted_date": "2026-10-15",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Ann Arbor, Michigan",
      "locations": [
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07772596"
    },
    {
      "nct_id": "NCT05745103",
      "title": "Optimizing Behavioral Healthcare Delivery Through Technology",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Mood Disorders",
        "Anxiety Disorders"
      ],
      "interventions": [
        {
          "name": "Cognitive behavioral therapy with AI",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Cognitive behavioral therapy",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Eleos Health",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 46,
      "start_date": "2021-09-01",
      "completion_date": "2023-04-30",
      "has_results": false,
      "last_update_posted_date": "2024-01-31",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Joplin, Missouri",
      "locations": [
        {
          "city": "Joplin",
          "state": "Missouri"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05745103"
    },
    {
      "nct_id": "NCT05344859",
      "title": "GODART Pilot and Feasibility",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Diabetes Mellitus, Type 2"
      ],
      "interventions": [
        {
          "name": "Weekly Automated Health Coaching",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Weekly Human Health Coaching",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Adapted Reward Level",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Fixed Gamified Reward Level",
          "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": 88,
      "start_date": "2023-05-15",
      "completion_date": "2025-10-31",
      "has_results": false,
      "last_update_posted_date": "2025-12-17",
      "last_synced_at": "2026-10-22T09:47:21.558Z",
      "location_count": 1,
      "location_summary": "Birmingham, Alabama",
      "locations": [
        {
          "city": "Birmingham",
          "state": "Alabama"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05344859"
    }
  ]
}