{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=AI+%28Artificial+Intelligence%29&page=2",
    "query": {
      "condition": "AI (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?condition=AI+%28Artificial+Intelligence%29&page=1&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-06-10T18:02:11.757Z",
  "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": "NCT06580158",
      "title": "AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Aortic Stenosis",
        "Diastolic Dysfunction"
      ],
      "interventions": [
        {
          "name": "AI-ECG Dashboard",
          "type": "DEVICE"
        },
        {
          "name": "Point of care ultrasound (POCUS)",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Mayo Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "60 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "60 Years and older"
      },
      "enrollment_count": 2000,
      "start_date": "2024-11-08",
      "completion_date": "2027-03",
      "has_results": false,
      "last_update_posted_date": "2026-03-04",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "Rochester, Minnesota",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06580158"
    },
    {
      "nct_id": "NCT06684457",
      "title": "Patient Perceived Empathy of an AI Chatbot for Atrial Fibrillation Education",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Atrial Fibrillation (AF)"
      ],
      "interventions": [
        {
          "name": "Atrial Fibrillation Education",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Pittsburgh",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 40,
      "start_date": "2024-11-25",
      "completion_date": "2025-05-02",
      "has_results": false,
      "last_update_posted_date": "2025-07-08",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "Pittsburgh, Pennsylvania",
      "locations": [
        {
          "city": "Pittsburgh",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06684457"
    },
    {
      "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": "2026-01-01",
      "completion_date": "2027-11-01",
      "has_results": false,
      "last_update_posted_date": "2025-11-17",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 4,
      "location_summary": "Los Angeles, California • Palo Alto, California • Pleasanton, California + 1 more",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        },
        {
          "city": "Palo Alto",
          "state": "California"
        },
        {
          "city": "Pleasanton",
          "state": "California"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07216859"
    },
    {
      "nct_id": "NCT07470463",
      "title": "Evaluation of One-Shot Vision Differential Diagnosis (OSVDE) and Multi-Step Conversational Non-Inferiority (MSCNE) in AI Medical Interviewing",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Differential Diagnosis",
        "Diagnostic Accuracy"
      ],
      "interventions": [
        {
          "name": "AI Diagnostic System (AIMD.1)",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Magic Health Inc. (d.b.a. Nolla Health)",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 30,
      "start_date": "2026-03-19",
      "completion_date": "2026-09-19",
      "has_results": false,
      "last_update_posted_date": "2026-03-25",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07470463"
    },
    {
      "nct_id": "NCT05175690",
      "title": "Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "COVID19"
      ],
      "interventions": [
        {
          "name": "Diagnostic Software as Medical Device",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "AudibleHealth AI, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 1126,
      "start_date": "2022-01-10",
      "completion_date": "2022-05-03",
      "has_results": false,
      "last_update_posted_date": "2022-05-05",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "Tampa, Florida",
      "locations": [
        {
          "city": "Tampa",
          "state": "Florida"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05175690"
    },
    {
      "nct_id": "NCT07203885",
      "title": "AI-Assisted Acute Myeloid Leukemia Evaluation With the Leukemia End-to-End Analysis Platform (LEAP) Versus Clinician-Only Assessment",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Acute Promyelocytic Leukemia (APL)",
        "Acute Myeloid Leukaemia (AML)"
      ],
      "interventions": [
        {
          "name": "Unaided Review First, Then AI-Assisted Review",
          "type": "BEHAVIORAL"
        },
        {
          "name": "AI-Assisted Review First, Then Unaided Review",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Harvard Medical School (HMS and HSDM)",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": null,
        "sex": "ALL",
        "summary": "Not listed"
      },
      "enrollment_count": 10,
      "start_date": "2025-09-09",
      "completion_date": "2025-10-10",
      "has_results": false,
      "last_update_posted_date": "2025-10-31",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07203885"
    },
    {
      "nct_id": "NCT05068778",
      "title": "Development of an AI App to Improve Compliance in Periodontal Maintenance Patients",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Periodontal Diseases"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence Application",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "McGuire Institute",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "18 Years to 75 Years"
      },
      "enrollment_count": 50,
      "start_date": "2021-09-10",
      "completion_date": "2023-06-01",
      "has_results": false,
      "last_update_posted_date": "2022-05-26",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 2,
      "location_summary": "La Vista, Nebraska • Houston, Texas",
      "locations": [
        {
          "city": "La Vista",
          "state": "Nebraska"
        },
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05068778"
    },
    {
      "nct_id": "NCT07157943",
      "title": "Comparison of Two Artificial Intelligence Scribe Products on Pediatric Subspecialty Provider Wellness and Experience, Patient Satisfaction, and Efficiency.",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Burnout"
      ],
      "interventions": [
        {
          "name": "Abridge AI Scribe",
          "type": "OTHER"
        },
        {
          "name": "DAX Copilot",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Children's Healthcare of Atlanta",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 105,
      "start_date": "2025-04-14",
      "completion_date": "2025-09-12",
      "has_results": false,
      "last_update_posted_date": "2025-09-05",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "Atlanta, Georgia",
      "locations": [
        {
          "city": "Atlanta",
          "state": "Georgia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07157943"
    },
    {
      "nct_id": "NCT05081011",
      "title": "Managing Insulin With a Voice AI",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Medication Adherence"
      ],
      "interventions": [
        {
          "name": "Voice Assistant Device",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Stanford University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 39,
      "start_date": "2021-03-24",
      "completion_date": "2022-12-01",
      "has_results": true,
      "last_update_posted_date": "2024-01-02",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 1,
      "location_summary": "Stanford, California",
      "locations": [
        {
          "city": "Stanford",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05081011"
    },
    {
      "nct_id": "NCT03530098",
      "title": "Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Bone Age"
      ],
      "interventions": [
        {
          "name": "BoneAgeModel",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Stanford University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": null,
        "sex": "ALL",
        "summary": "Not listed"
      },
      "enrollment_count": 1903,
      "start_date": "2018-07-12",
      "completion_date": "2019-08-31",
      "has_results": true,
      "last_update_posted_date": "2021-06-09",
      "last_synced_at": "2026-06-10T18:02:11.757Z",
      "location_count": 6,
      "location_summary": "Stanford, California • New Haven, Connecticut • Boston, Massachusetts + 3 more",
      "locations": [
        {
          "city": "Stanford",
          "state": "California"
        },
        {
          "city": "New Haven",
          "state": "Connecticut"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "New York",
          "state": "New York"
        },
        {
          "city": "Cincinnati",
          "state": "Ohio"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03530098"
    }
  ]
}