{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithms&page=3",
    "query": {
      "intervention": "Machine learning algorithms",
      "page": 3
    },
    "page_size": 10
  },
  "pagination": {
    "page": 3,
    "page_size": 10,
    "total_count": 135,
    "total_pages": 14,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithms&page=4&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithms&page=2&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-21T18:34:31.865Z",
  "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": "NCT03762902",
      "title": "Predicting Migraine Attacks Based on Environmental and Behavioral Changes as Detected From the Smartphone",
      "overall_status": "TERMINATED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Migraine Disorders",
        "Headache Disorders",
        "Headache Disorders, Primary",
        "Brain Diseases",
        "Central Nervous System Diseases",
        "Nervous System Diseases"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "Lifegraph Ltd.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "18 Years to 75 Years"
      },
      "enrollment_count": 10,
      "start_date": "2019-04-30",
      "completion_date": "2019-09-01",
      "has_results": false,
      "last_update_posted_date": "2019-09-13",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 2,
      "location_summary": "Detroit, Michigan • West Bloomfield, Michigan",
      "locations": [
        {
          "city": "Detroit",
          "state": "Michigan"
        },
        {
          "city": "West Bloomfield",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03762902"
    },
    {
      "nct_id": "NCT04288011",
      "title": "Validation of the BeCare Multiple Sclerosis Assessment App",
      "overall_status": "TERMINATED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Multiple Sclerosis"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "BeCare Link LLC",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "18 Years to 75 Years"
      },
      "enrollment_count": 30,
      "start_date": "2021-02-26",
      "completion_date": "2023-02-20",
      "has_results": false,
      "last_update_posted_date": "2026-09-30",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "New Haven, Connecticut",
      "locations": [
        {
          "city": "New Haven",
          "state": "Connecticut"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04288011"
    },
    {
      "nct_id": "NCT07590973",
      "title": "Online Evaluation of the Diagnostic Accuracy of BlinkLab's Digital Assessments for Autism",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Autism",
        "Autism Spectrum Disorder",
        "Autism Spectrum Disorder (ASD)",
        "Neurodevelopmental Conditions"
      ],
      "interventions": [
        {
          "name": "BlinkLab Dx1",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Retrospective Neurodevelopmental Diagnostic Assessment",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST",
        "BEHAVIORAL"
      ],
      "sponsor": "Blinklab Limited",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "2 Years",
        "maximum_age": "11 Years",
        "sex": "ALL",
        "summary": "2 Years to 11 Years"
      },
      "enrollment_count": 1000,
      "start_date": "2025-02-15",
      "completion_date": "2026-12-01",
      "has_results": false,
      "last_update_posted_date": "2026-05-15",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "Princeton, New Jersey",
      "locations": [
        {
          "city": "Princeton",
          "state": "New Jersey"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07590973"
    },
    {
      "nct_id": "NCT03923699",
      "title": "Telemedicine Control Tower for the Operating Room: Navigating Information, Care and Safety",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE3"
      ],
      "conditions": [
        "Surgery",
        "Surgery--Complications",
        "Perioperative/Postoperative Complications"
      ],
      "interventions": [
        {
          "name": "Anesthesia Control Tower monitoring",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Washington University School of Medicine",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 79560,
      "start_date": "2019-07-01",
      "completion_date": "2023-01-31",
      "has_results": true,
      "last_update_posted_date": "2024-07-17",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "St Louis, Missouri",
      "locations": [
        {
          "city": "St Louis",
          "state": "Missouri"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03923699"
    },
    {
      "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": "2026-10-21T18:34:31.865Z",
      "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": "NCT06670287",
      "title": "The Use of Multiple Sensors to Track Sleep in Nightshift Workers",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Sleep",
        "Nightshift Work"
      ],
      "interventions": [
        {
          "name": "Single-Sensor Tracking (In-Lab)",
          "type": "OTHER"
        },
        {
          "name": "Multi-Sensor Sleep Tracking (In-Lab)",
          "type": "OTHER"
        },
        {
          "name": "Multi-Sensor Sleep Tracking (At-Home)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Henry Ford Health System",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 100,
      "start_date": "2026-02-23",
      "completion_date": "2031-06-30",
      "has_results": false,
      "last_update_posted_date": "2026-03-18",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "Novi, Michigan",
      "locations": [
        {
          "city": "Novi",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06670287"
    },
    {
      "nct_id": "NCT05637814",
      "title": "Dynamic Critical Congenital Heart Screening With Addition of Perfusion Measurements",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Congenital Heart Disease"
      ],
      "interventions": [
        {
          "name": "SpO2/PIx Measurement and ML Algorithm",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "University of California, Davis",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "0 Minutes",
        "maximum_age": "21 Days",
        "sex": "ALL",
        "summary": "0 Minutes to 21 Days"
      },
      "enrollment_count": 320,
      "start_date": "2023-08-17",
      "completion_date": "2027-12-31",
      "has_results": false,
      "last_update_posted_date": "2026-06-18",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 3,
      "location_summary": "Davis, California • Queens, New York • Salt Lake City, Utah",
      "locations": [
        {
          "city": "Davis",
          "state": "California"
        },
        {
          "city": "Queens",
          "state": "New York"
        },
        {
          "city": "Salt Lake City",
          "state": "Utah"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05637814"
    },
    {
      "nct_id": "NCT04423991",
      "title": "Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "COVID-19",
        "Coronavirus",
        "Mortality"
      ],
      "interventions": [
        {
          "name": "COViage",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Dascena",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": null,
        "sex": "ALL",
        "summary": "Not listed"
      },
      "enrollment_count": 290,
      "start_date": "2020-03-10",
      "completion_date": "2020-06-04",
      "has_results": false,
      "last_update_posted_date": "2020-06-09",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "Oakland, California",
      "locations": [
        {
          "city": "Oakland",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04423991"
    },
    {
      "nct_id": "NCT04710901",
      "title": "UTECH: Machine Learning for HIV Prevention Among Substance Using GBMSM",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Sexually Transmitted Diseases",
        "HIV Infections",
        "Implementation Science",
        "Substance Use",
        "MSM"
      ],
      "interventions": [
        {
          "name": "uTECH + YMHP",
          "type": "BEHAVIORAL"
        },
        {
          "name": "YMHP",
          "type": "BEHAVIORAL"
        },
        {
          "name": "uTECH",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, Los Angeles",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "MALE",
        "summary": "18 Years and older · Male only"
      },
      "enrollment_count": 388,
      "start_date": "2020-11-24",
      "completion_date": "2024-05-31",
      "has_results": false,
      "last_update_posted_date": "2024-11-25",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04710901"
    },
    {
      "nct_id": "NCT05245903",
      "title": "Passive Sensor Identification of Digital Biomarkers to Assess Effects of Orally Administered Nicotinamide Riboside",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Alzheimer Disease",
        "Dementia Alzheimers",
        "Dementia",
        "Cognitive Impairment",
        "Mild Cognitive Impairment",
        "Neurodegenerative Diseases",
        "Neurocognitive Disorders",
        "Neurocognitive Dysfunction",
        "Cognitive Dysfunction",
        "Mental Disorder"
      ],
      "interventions": [
        {
          "name": "Emerald Device Monitoring",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Mclean Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "89 Years",
        "sex": "ALL",
        "summary": "18 Years to 89 Years"
      },
      "enrollment_count": 40,
      "start_date": "2022-05-31",
      "completion_date": "2026-05-31",
      "has_results": false,
      "last_update_posted_date": "2025-11-06",
      "last_synced_at": "2026-10-21T18:34:31.865Z",
      "location_count": 1,
      "location_summary": "Belmont, Massachusetts",
      "locations": [
        {
          "city": "Belmont",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05245903"
    }
  ]
}