{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithms&page=4",
    "query": {
      "intervention": "Machine learning algorithms",
      "page": 4
    },
    "page_size": 10
  },
  "pagination": {
    "page": 4,
    "page_size": 10,
    "total_count": 135,
    "total_pages": 14,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithms&page=5&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithms&page=3&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-21T19:13:44.652Z",
  "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": "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": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "Palo Alto, California",
      "locations": [
        {
          "city": "Palo Alto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06935253"
    },
    {
      "nct_id": "NCT06464575",
      "title": "Comparison of Vocal Biomarkers for Depression and Anxiety to Formal Clinical Assessments",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Depression/Anxiety"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "Ellipsis Health",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 540,
      "start_date": "2024-01-12",
      "completion_date": "2024-06",
      "has_results": false,
      "last_update_posted_date": "2024-06-18",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06464575"
    },
    {
      "nct_id": "NCT06734793",
      "title": "Wearable Electronic Breath Sound Sensing Device",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Asthma in Children",
        "Asthma Attack"
      ],
      "interventions": [
        {
          "name": "Wearable stethoscope",
          "type": "DEVICE"
        },
        {
          "name": "Routine Clinical lung Auscultation",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "Emory University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "6 Years",
        "maximum_age": "17 Years",
        "sex": "ALL",
        "summary": "6 Years to 17 Years"
      },
      "enrollment_count": 8,
      "start_date": "2025-02-26",
      "completion_date": "2025-10-15",
      "has_results": false,
      "last_update_posted_date": "2026-07-22",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "Atlanta, Georgia",
      "locations": [
        {
          "city": "Atlanta",
          "state": "Georgia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06734793"
    },
    {
      "nct_id": "NCT06059963",
      "title": "A Prospective, Multi-center, Observational Study for Signal-C Test Evaluation",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Colorectal Cancer",
        "Advanced Adenocarcinoma"
      ],
      "interventions": [
        {
          "name": "Signal-C™",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Universal Diagnostics",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": "84 Years",
        "sex": "ALL",
        "summary": "45 Years to 84 Years"
      },
      "enrollment_count": 12000,
      "start_date": "2024-01-18",
      "completion_date": "2026-12-01",
      "has_results": false,
      "last_update_posted_date": "2025-11-10",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "Raonoke, Virginia",
      "locations": [
        {
          "city": "Raonoke",
          "state": "Virginia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06059963"
    },
    {
      "nct_id": "NCT04836286",
      "title": "Determining the Impact of Emotive Intelligent Spaces",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Color Perception"
      ],
      "interventions": [
        {
          "name": "Emotive Intelligent Spaces (EIS)",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Idaho",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "3 Years",
        "maximum_age": "6 Years",
        "sex": "ALL",
        "summary": "3 Years to 6 Years"
      },
      "enrollment_count": 40,
      "start_date": "2021-04-01",
      "completion_date": "2022-06-21",
      "has_results": false,
      "last_update_posted_date": "2022-11-03",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "Moscow, Idaho",
      "locations": [
        {
          "city": "Moscow",
          "state": "Idaho"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04836286"
    },
    {
      "nct_id": "NCT04635787",
      "title": "Vital Sensor Monitors for CV19 Detection",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Covid19"
      ],
      "interventions": [
        {
          "name": "ANNE One",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Northwestern University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 324,
      "start_date": "2020-11-05",
      "completion_date": "2021-08-31",
      "has_results": false,
      "last_update_posted_date": "2023-05-06",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04635787"
    },
    {
      "nct_id": "NCT02910921",
      "title": "Individualized Prediction of Migraine Attacks Using a Mobile Phone App and Fitbit",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Migraine Disorders",
        "Headache Disorders, Primary",
        "Headache Disorders",
        "Brain Diseases",
        "Central Nervous System Diseases",
        "Nervous System Diseases"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "Second Opinion Health",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 19,
      "start_date": "2016-11",
      "completion_date": "2018-07-31",
      "has_results": false,
      "last_update_posted_date": "2018-08-06",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 2,
      "location_summary": "Scottsdale, Arizona • Los Angeles, California",
      "locations": [
        {
          "city": "Scottsdale",
          "state": "Arizona"
        },
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT02910921"
    },
    {
      "nct_id": "NCT07843004",
      "title": "Capitalizing on AI to CapTure Undiagnosed Structural Heart Disease",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Structural Heart Abnormality",
        "Valve Heart Disease",
        "Heart Diseases",
        "Cardiovascular Diseases"
      ],
      "interventions": [
        {
          "name": "EHR Alert",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Pierre Elias",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "40 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "40 Years and older"
      },
      "enrollment_count": 4000,
      "start_date": "2026-09-16",
      "completion_date": "2028-06-01",
      "has_results": false,
      "last_update_posted_date": "2026-09-25",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07843004"
    },
    {
      "nct_id": "NCT05459545",
      "title": "Real-World Evaluation of Eko Algorithms in a Point of Care Setting",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Murmur, Heart",
        "Innocent Murmurs",
        "Heart Murmurs",
        "Pathologic Murmur",
        "Atrial Fibrillation"
      ],
      "interventions": [
        {
          "name": "Use of Eko CORE and Eko CORE 500 electronic stethoscope",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Eko Devices, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 371,
      "start_date": "2022-04-15",
      "completion_date": "2023-06-30",
      "has_results": false,
      "last_update_posted_date": "2024-11-25",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 5,
      "location_summary": "Haverhill, Massachusetts • Lawrence, Massachusetts • Dunn, North Carolina + 1 more",
      "locations": [
        {
          "city": "Haverhill",
          "state": "Massachusetts"
        },
        {
          "city": "Lawrence",
          "state": "Massachusetts"
        },
        {
          "city": "Dunn",
          "state": "North Carolina"
        },
        {
          "city": "Lillington",
          "state": "North Carolina"
        },
        {
          "city": "Lillington",
          "state": "North Carolina"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05459545"
    },
    {
      "nct_id": "NCT06993012",
      "title": "An Integrative, Digital Health Approach to Veteran-Centered PTSD Care",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "PTSD - Post Traumatic Stress Disorder",
        "Depression/Anxiety"
      ],
      "interventions": [
        {
          "name": "Mobile Health Stress Self Management System",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Intensive Cycling Activity",
          "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": 37,
      "start_date": "2025-04-21",
      "completion_date": "2026-07-01",
      "has_results": false,
      "last_update_posted_date": "2026-08-27",
      "last_synced_at": "2026-10-21T19:13:44.652Z",
      "location_count": 1,
      "location_summary": "College Station, Texas",
      "locations": [
        {
          "city": "College Station",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06993012"
    }
  ]
}