{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Deep+Learning+Artificial+Intelligence",
    "query": {
      "intervention": "Deep Learning Artificial Intelligence"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 27,
    "total_pages": 3,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Deep+Learning+Artificial+Intelligence&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-05T23:04:28.744Z",
  "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": "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": "2026-09-05T23:04:28.744Z",
      "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": "NCT05949580",
      "title": "Study to Evaluate the Usability and Value of Integrated Digital Solutions in Medical Care of Participants With Multiple Sclerosis",
      "overall_status": "SUSPENDED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Relapsing Remitting Multiple Sclerosis"
      ],
      "interventions": [
        {
          "name": "MS Care Platform (icobrain ms and icompanion ms)",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Hoffmann-La Roche",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 500,
      "start_date": "2024-10-21",
      "completion_date": "2028-03-31",
      "has_results": false,
      "last_update_posted_date": "2026-07-20",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 3,
      "location_summary": "Golden Valley, Minnesota • Hackensack, New Jersey • Neptune City, New Jersey",
      "locations": [
        {
          "city": "Golden Valley",
          "state": "Minnesota"
        },
        {
          "city": "Hackensack",
          "state": "New Jersey"
        },
        {
          "city": "Neptune City",
          "state": "New Jersey"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05949580"
    },
    {
      "nct_id": "NCT05140642",
      "title": "Safety and Efficacy Study of AI LVEF",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Heart Failure, Systolic",
        "Heart Failure, Diastolic"
      ],
      "interventions": [
        {
          "name": "Automated annotation of the left ventricle through deep learning",
          "type": "OTHER"
        },
        {
          "name": "Sonographer Measurement of LVEF",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Cedars-Sinai Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "110 Years",
        "sex": "ALL",
        "summary": "18 Years to 110 Years"
      },
      "enrollment_count": 3495,
      "start_date": "2022-04-01",
      "completion_date": "2022-06-29",
      "has_results": false,
      "last_update_posted_date": "2022-07-05",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05140642"
    },
    {
      "nct_id": "NCT03151564",
      "title": "Lesion Detection Assessment in the Liver: Standard vs Low Radiation Dose Using Varied Post-Processing Techniques",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Diseases of Liver",
        "Colon Carcinoma",
        "Colorectal Carcinoma",
        "Liver Metastases"
      ],
      "interventions": [
        {
          "name": "Computed Tomography Scan - 50% Dose Reduction",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Computed Tomography Scan - 70% Dose Reduction",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Deep Learning Image Reconstruction (DLIR)",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "M.D. Anderson Cancer Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "90 Years",
        "sex": "ALL",
        "summary": "18 Years to 90 Years"
      },
      "enrollment_count": 146,
      "start_date": "2017-05-09",
      "completion_date": "2027-04-30",
      "has_results": false,
      "last_update_posted_date": "2026-03-05",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "Houston, Texas",
      "locations": [
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03151564"
    },
    {
      "nct_id": "NCT06935253",
      "title": "Large Language Models To Improve the Quality of Care of Cardiology Patients",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Hypertrophic Cardiomyopathy (HCM)",
        "Cardiomyopathy",
        "Genetic Disease",
        "Cardiology"
      ],
      "interventions": [
        {
          "name": "Large Language Model",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Stanford University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 12,
      "start_date": "2025-01-10",
      "completion_date": "2025-12",
      "has_results": false,
      "last_update_posted_date": "2025-05-15",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "Palo Alto, California",
      "locations": [
        {
          "city": "Palo Alto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06935253"
    },
    {
      "nct_id": "NCT06469372",
      "title": "Cardiac Amyloidosis Discovery Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Cardiac Amyloidosis"
      ],
      "interventions": [
        {
          "name": "Cardiac amyloidosis deep learning model",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Pierre Elias",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "50 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "50 Years and older"
      },
      "enrollment_count": 50,
      "start_date": "2024-05-28",
      "completion_date": "2025-08-01",
      "has_results": true,
      "last_update_posted_date": "2025-12-04",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06469372"
    },
    {
      "nct_id": "NCT07162194",
      "title": "MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Prostate Carcinoma"
      ],
      "interventions": [
        {
          "name": "Targeted Prostate Biopsy",
          "type": "PROCEDURE"
        },
        {
          "name": "Prostate Imaging Reporting & Data System",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Deep Learning Artificial Intelligence",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Green Learning Artificial Intelligence",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Radical Prostatectomy",
          "type": "PROCEDURE"
        }
      ],
      "intervention_types": [
        "PROCEDURE",
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "University of Southern California",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "20 Years",
        "maximum_age": null,
        "sex": "MALE",
        "summary": "20 Years and older · Male only"
      },
      "enrollment_count": 130,
      "start_date": "2025-09-19",
      "completion_date": "2028-10-15",
      "has_results": false,
      "last_update_posted_date": "2026-09-01",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07162194"
    },
    {
      "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": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "Nashville, Tennessee",
      "locations": [
        {
          "city": "Nashville",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07333547"
    },
    {
      "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": "2026-09-05T23:04:28.744Z",
      "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"
    },
    {
      "nct_id": "NCT06994767",
      "title": "Speech-derived Digital Biomarkers Study",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Mild Cognitive Impairment (MCI)",
        "Alzheimer Disease"
      ],
      "interventions": [
        {
          "name": "The Canary Application",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Hackensack Meridian Health",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "50 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "50 Years and older"
      },
      "enrollment_count": 150,
      "start_date": "2025-05-19",
      "completion_date": "2026-01-09",
      "has_results": false,
      "last_update_posted_date": "2026-01-13",
      "last_synced_at": "2026-09-05T23:04:28.744Z",
      "location_count": 1,
      "location_summary": "Hackensack, New Jersey",
      "locations": [
        {
          "city": "Hackensack",
          "state": "New Jersey"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06994767"
    }
  ]
}