{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=AI-ECG",
    "query": {
      "intervention": "AI-ECG"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 39,
    "total_pages": 4,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=AI-ECG&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-07T22:31:55.500Z",
  "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": "NCT04963218",
      "title": "A Multi-Center Study of Detection of Low Ventricular Ejection Fraction",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cardiac Disease"
      ],
      "interventions": [
        {
          "name": "AI Algorithm to detect LVEF in ECG",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Mayo Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "99 Years",
        "sex": "ALL",
        "summary": "18 Years to 99 Years"
      },
      "enrollment_count": 16000,
      "start_date": "2021-08-30",
      "completion_date": "2022-04-13",
      "has_results": false,
      "last_update_posted_date": "2022-07-13",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 4,
      "location_summary": "Boston, Massachusetts • The Bronx, New York • Rapid City, South Dakota + 1 more",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "The Bronx",
          "state": "New York"
        },
        {
          "city": "Rapid City",
          "state": "South Dakota"
        },
        {
          "city": "Salt Lake City",
          "state": "Utah"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04963218"
    },
    {
      "nct_id": "NCT06749145",
      "title": "Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Aortic Stenosis"
      ],
      "interventions": [
        {
          "name": "Portable 1-lead electrocardiogram",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Point-of-care ultrasound",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "AI-ECG risk algorithm",
          "type": "OTHER"
        },
        {
          "name": "AI-POCUS",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST",
        "OTHER"
      ],
      "sponsor": "Yale University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "70 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "70 Years and older"
      },
      "enrollment_count": 410,
      "start_date": "2025-09-16",
      "completion_date": "2028-08-31",
      "has_results": false,
      "last_update_posted_date": "2025-11-26",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 3,
      "location_summary": "New Haven, Connecticut • New York, New York • Houston, Texas",
      "locations": [
        {
          "city": "New Haven",
          "state": "Connecticut"
        },
        {
          "city": "New York",
          "state": "New York"
        },
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06749145"
    },
    {
      "nct_id": "NCT05161065",
      "title": "Comparison of QT Interval Readings Between Smartwatch Combined With Cardiologs Artificial Intelligence and 12-lead ECG",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Atrial Fibrillation"
      ],
      "interventions": [
        {
          "name": "Cardiologs",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Cardiologs Technologies",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "22 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "22 Years and older"
      },
      "enrollment_count": 50,
      "start_date": "2022-02-12",
      "completion_date": "2023-02-28",
      "has_results": false,
      "last_update_posted_date": "2023-10-03",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05161065"
    },
    {
      "nct_id": "NCT06911632",
      "title": "Multi-site Study of the Clinical Impact of an AI-assisted Approach to Referring Patients With Interstitial Lung Disease for Diagnostic Evaluation of Pulmonary Hypertension",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Pulmonary Hypertension",
        "Interstitial Lung Disease (ILD)"
      ],
      "interventions": [
        {
          "name": "ECG-based AI Device - Results Returned to Investigator",
          "type": "DEVICE"
        },
        {
          "name": "Echocardiogram and Right Heart Catheterization",
          "type": "PROCEDURE"
        },
        {
          "name": "ECG-based AI Device - Results Not Returned to Investigator",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "PROCEDURE"
      ],
      "sponsor": "Tempus AI",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 900,
      "start_date": "2025-07-23",
      "completion_date": "2028-07",
      "has_results": false,
      "last_update_posted_date": "2026-09-02",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 37,
      "location_summary": "Birmingham, Alabama • Phoenix, Arizona • Riverside, California + 29 more",
      "locations": [
        {
          "city": "Birmingham",
          "state": "Alabama"
        },
        {
          "city": "Phoenix",
          "state": "Arizona"
        },
        {
          "city": "Phoenix",
          "state": "Arizona"
        },
        {
          "city": "Riverside",
          "state": "California"
        },
        {
          "city": "Denver",
          "state": "Colorado"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06911632"
    },
    {
      "nct_id": "NCT07405866",
      "title": "A Prospective Analysis To Assess The Potential Use Of ECGio In Clinical Practice",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "AI-algorithm Usage"
      ],
      "interventions": [
        {
          "name": "AI-Assistive Algorithm",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Heart Input Output Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "89 Years",
        "sex": "ALL",
        "summary": "18 Years to 89 Years"
      },
      "enrollment_count": 10000,
      "start_date": "2026-02-21",
      "completion_date": "2026-11-21",
      "has_results": false,
      "last_update_posted_date": "2026-02-12",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 4,
      "location_summary": "Bensalem, Pennsylvania • Philadelphia, Pennsylvania • Springfield, Pennsylvania",
      "locations": [
        {
          "city": "Bensalem",
          "state": "Pennsylvania"
        },
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        },
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        },
        {
          "city": "Springfield",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07405866"
    },
    {
      "nct_id": "NCT06511505",
      "title": "NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Atrial Fibrillation",
        "Cardiovascular Diseases",
        "Arrhythmia",
        "Valvular Disease"
      ],
      "interventions": [
        {
          "name": "Risk-Based Assessment for Cardiac Dysfunction",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Northwestern University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "40 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "40 Years and older"
      },
      "enrollment_count": 1000,
      "start_date": "2024-09-16",
      "completion_date": "2028-09",
      "has_results": false,
      "last_update_posted_date": "2026-08-20",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06511505"
    },
    {
      "nct_id": "NCT05557162",
      "title": "Artificial Intelligence Enhanced ECG to Detect Cardiac Amyloidosis",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Cardiac Amyloidosis"
      ],
      "interventions": [
        {
          "name": "AI ECG Amyloid algorithm",
          "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": 20143,
      "start_date": "2023-06-19",
      "completion_date": "2025-07-23",
      "has_results": false,
      "last_update_posted_date": "2026-02-17",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 4,
      "location_summary": "Scottsdale, Arizona • Jacksonville, Florida • Rochester, Minnesota + 1 more",
      "locations": [
        {
          "city": "Scottsdale",
          "state": "Arizona"
        },
        {
          "city": "Jacksonville",
          "state": "Florida"
        },
        {
          "city": "Rochester",
          "state": "Minnesota"
        },
        {
          "city": "Eau Claire",
          "state": "Wisconsin"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05557162"
    },
    {
      "nct_id": "NCT06763549",
      "title": "COR-INSIGHT: Optimizing Cardiovascular and Cardiopulmonary Outcomes with AI-Driven Multiplexed Indications Using COR ECG Wearable",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cardiopulmonary Failure",
        "Myocardial Infarction (MI)",
        "Heart Decompensation",
        "Heart Failure",
        "HFrEF - Heart Failure with Reduced Ejection Fraction",
        "HFpEF - Heart Failure with Preserved Ejection Fraction",
        "Syncopation",
        "Syncope",
        "Ischemic Cardiovascular Disease",
        "STEMI",
        "STEMI (ST Elevation MI)",
        "Atrial Fibrillation (AF)",
        "Atrial Enlargement",
        "LVF",
        "Conduction Defect",
        "Conduction Abnormalities",
        "Heart Block",
        "Valvular Diseases",
        "Cardiac Output, Low",
        "Stroke Volume",
        "Stroke Volume Variation",
        "Hyperkalemia",
        "Hypercalcemia",
        "Hypocalcemia",
        "LV Dysfunction",
        "QT Prolongation",
        "Sudden Cardiac Death Due to Cardiac Arrhythmia",
        "Ventricular Arrhythmia",
        "Pacing",
        "Pacing Induced Dyssynchrony",
        "Silent Ischemia",
        "Pericarditis",
        "Sleep Related Breathing Disorder",
        "RSA",
        "Apnea, Obstructive",
        "Cardiac Output Measurement",
        "Respiratory Impedance",
        "CRT And/or ICD",
        "Infarction",
        "Cardiomyopathies, Primary",
        "Hypertrophy"
      ],
      "interventions": [
        {
          "name": "SUBPROTOCOL A",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL B",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL C",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL D",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL E",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL F",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL G",
          "type": "DEVICE"
        },
        {
          "name": "SUBPROTOCOL H",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Peerbridge Health, Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 15000,
      "start_date": "2024-11-16",
      "completion_date": "2026-04-15",
      "has_results": false,
      "last_update_posted_date": "2025-01-08",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 1,
      "location_summary": "Melbourne, Florida",
      "locations": [
        {
          "city": "Melbourne",
          "state": "Florida"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06763549"
    },
    {
      "nct_id": "NCT06964152",
      "title": "Computational Cardiac Imaging Analysis to Guide Ventricular Tachycardia Ablation Procedures (AI-VT)",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Ventricular Tachycardia (VT)",
        "Premature Ventricular Contraction (PVC)",
        "Ventricular Fibrillation"
      ],
      "interventions": [
        {
          "name": "Computational electrocardiography and cardiac computed tomography mapping",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "University of California, San Diego",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": "90 Years",
        "sex": "ALL",
        "summary": "21 Years to 90 Years"
      },
      "enrollment_count": 250,
      "start_date": "2024-05-01",
      "completion_date": "2034-12-31",
      "has_results": false,
      "last_update_posted_date": "2025-05-09",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 1,
      "location_summary": "La Jolla, California",
      "locations": [
        {
          "city": "La Jolla",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06964152"
    },
    {
      "nct_id": "NCT06688396",
      "title": "Dilated Cardiomyopathy Detection Using AI and Screening With Mobile Technology (DCM-DETECT)",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Dilated Cardiomyopathy",
        "Heart Failure",
        "Heart Disease"
      ],
      "interventions": [
        {
          "name": "Mobile 6L AI-EKG Screening",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Lancaster General Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 150,
      "start_date": "2024-12-04",
      "completion_date": "2026-12",
      "has_results": false,
      "last_update_posted_date": "2025-01-30",
      "last_synced_at": "2026-09-07T22:31:55.500Z",
      "location_count": 1,
      "location_summary": "Lancaster, Pennsylvania",
      "locations": [
        {
          "city": "Lancaster",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06688396"
    }
  ]
}