{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence+based+Intervention&page=4",
    "query": {
      "intervention": "Artificial Intelligence based Intervention",
      "page": 4
    },
    "page_size": 10
  },
  "pagination": {
    "page": 4,
    "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=5&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence+based+Intervention&page=3&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-22T09:15:33.918Z",
  "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": "NCT06182332",
      "title": "An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Advanced Malignant Female Reproductive System Neoplasm"
      ],
      "interventions": [
        {
          "name": "Electronic Health Record Review",
          "type": "OTHER"
        },
        {
          "name": "Internet-Based Intervention",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Mayo Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 221,
      "start_date": "2023-12-11",
      "completion_date": "2024-07-26",
      "has_results": false,
      "last_update_posted_date": "2025-04-04",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 1,
      "location_summary": "Rochester, Minnesota",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06182332"
    },
    {
      "nct_id": "NCT07597499",
      "title": "ANCHOR Validation Trial in High-Risk Multidisciplinary Care",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "High-Risk Multidisciplinary Care",
        "Clinical Decision Support",
        "Artificial Intelligence-Assisted Care",
        "Telemedicine"
      ],
      "interventions": [
        {
          "name": "Gemini 3.1 Pro with Safety Prompt",
          "type": "BEHAVIORAL"
        },
        {
          "name": "ANCHOR Clinical AI Verification Layer (with Gemini 3.1 Pro)",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Waymark",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 240,
      "start_date": "2026-05-15",
      "completion_date": "2026-07-06",
      "has_results": false,
      "last_update_posted_date": "2026-07-08",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07597499"
    },
    {
      "nct_id": "NCT07852650",
      "title": "Digital STEADI Efficacy",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE1",
        "PHASE2"
      ],
      "conditions": [
        "Fall",
        "Mild Cognitive Impairment (MCI)",
        "Aging"
      ],
      "interventions": [
        {
          "name": "Digital STEADI-1",
          "type": "BEHAVIORAL"
        },
        {
          "name": "STEADI Standard of Care",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Digital STEADI-2",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Attentional control",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Friendi.fi Corporation",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "50 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "50 Years and older"
      },
      "enrollment_count": 300,
      "start_date": "2026-09-04",
      "completion_date": "2028-05",
      "has_results": false,
      "last_update_posted_date": "2026-10-01",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 1,
      "location_summary": "Atlanta, Georgia",
      "locations": [
        {
          "city": "Atlanta",
          "state": "Georgia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07852650"
    },
    {
      "nct_id": "NCT07329452",
      "title": "Menu to Meal (M2M) Menu Labeling Intervention Study",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Behavior, Eating"
      ],
      "interventions": [
        {
          "name": "Paper menu",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Digital menu condition",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Texas A&M University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 242,
      "start_date": "2025-11-17",
      "completion_date": "2026-05-18",
      "has_results": false,
      "last_update_posted_date": "2026-07-09",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 1,
      "location_summary": "Bryan, Texas",
      "locations": [
        {
          "city": "Bryan",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07329452"
    },
    {
      "nct_id": "NCT04191330",
      "title": "Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize GDMT Using Wearable Sensors",
      "overall_status": "UNKNOWN",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Heart Failure"
      ],
      "interventions": [
        {
          "name": "BiovitalsHF",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Biofourmis Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "22 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "22 Years and older"
      },
      "enrollment_count": 122,
      "start_date": "2020-01-27",
      "completion_date": "2024-08-31",
      "has_results": false,
      "last_update_posted_date": "2024-06-17",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 14,
      "location_summary": "Little Rock, Arkansas • Washington D.C., District of Columbia • Athens, Georgia + 11 more",
      "locations": [
        {
          "city": "Little Rock",
          "state": "Arkansas"
        },
        {
          "city": "Washington D.C.",
          "state": "District of Columbia"
        },
        {
          "city": "Athens",
          "state": "Georgia"
        },
        {
          "city": "Louisville",
          "state": "Kentucky"
        },
        {
          "city": "Alexandria",
          "state": "Louisiana"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04191330"
    },
    {
      "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": "2026-10-22T09:15:33.918Z",
      "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": "2026-10-22T09:15:33.918Z",
      "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": "NCT07213531",
      "title": "Enhanced Valves Interventions and Safe AI Generated End Results",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Heart Valve Disease",
        "TAVI",
        "M-TEER",
        "TTVI",
        "TMVI",
        "T-TEER",
        "Mitraclip",
        "TriClip"
      ],
      "interventions": [
        {
          "name": "Medical imaging analysis via artificial intelligence algorithms",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Montreal Heart Institute",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 21000,
      "start_date": "2024-05-01",
      "completion_date": "2029-05",
      "has_results": false,
      "last_update_posted_date": "2025-10-09",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07213531"
    },
    {
      "nct_id": "NCT05147389",
      "title": "Artificial Intelligence for Digital Cholangioscopy Neoplasia Diagnosis",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Common Bile Duct Neoplasms",
        "Non-Neoplastic Bile Duct Disorder"
      ],
      "interventions": [
        {
          "name": "AI model classification",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "DSOC endoscopist experts' classification",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Instituto Ecuatoriano de Enfermedades Digestivas",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "79 Years",
        "sex": "ALL",
        "summary": "18 Years to 79 Years"
      },
      "enrollment_count": 170,
      "start_date": "2020-10-01",
      "completion_date": "2022-05-01",
      "has_results": false,
      "last_update_posted_date": "2022-11-17",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 3,
      "location_summary": "New Brunswick, New Jersey • Houston, Texas",
      "locations": [
        {
          "city": "New Brunswick",
          "state": "New Jersey"
        },
        {
          "city": "Houston",
          "state": "Texas"
        },
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05147389"
    },
    {
      "nct_id": "NCT07333547",
      "title": "Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "High-risk Cardiac Patients"
      ],
      "interventions": [
        {
          "name": "Willem AI ECG assessment",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Idoven 1903 S.L.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 200000,
      "start_date": "2026-02-03",
      "completion_date": "2036-01",
      "has_results": false,
      "last_update_posted_date": "2026-07-20",
      "last_synced_at": "2026-10-22T09:15:33.918Z",
      "location_count": 1,
      "location_summary": "Nashville, Tennessee",
      "locations": [
        {
          "city": "Nashville",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07333547"
    }
  ]
}