{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning",
    "query": {
      "condition": "Machine Learning"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 245,
    "total_pages": 25,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-07-23T18:59:21.188Z",
  "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": "NCT07405398",
      "title": "A Study to Train a Machine Learning Algorithm for an Evaluation of the Use of Biometric Data Captured at the Wrist for the Identification of Acute Opioid Use Events and the Quantification of Opioid Withdrawal in Opioid Dependent Individuals",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Treatment for Opioid Use Disorder"
      ],
      "interventions": [
        {
          "name": "Train and evaluate the accuracy and reliability of the Strength Band Platform in identifying acute opioid dosing events from time-stamped biometric data collected from wrist-worn devices.",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "OpiAID",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "22 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "22 Years and older"
      },
      "enrollment_count": 420,
      "start_date": "2025-05-01",
      "completion_date": "2027-03-31",
      "has_results": false,
      "last_update_posted_date": "2026-02-20",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 4,
      "location_summary": "Wilmington, North Carolina • Austin, Texas • Cedar Park, Texas",
      "locations": [
        {
          "city": "Wilmington",
          "state": "North Carolina"
        },
        {
          "city": "Austin",
          "state": "Texas"
        },
        {
          "city": "Austin",
          "state": "Texas"
        },
        {
          "city": "Cedar Park",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07405398"
    },
    {
      "nct_id": "NCT04390516",
      "title": "Respiratory Decompensation and Model for the Triage of COVID-19 Patients",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "COVID-19",
        "Coronavirus",
        "Mortality",
        "Mechanical Ventilation"
      ],
      "interventions": [
        {
          "name": "COViage",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Dascena",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 197,
      "start_date": "2020-03-24",
      "completion_date": "2020-05-30",
      "has_results": false,
      "last_update_posted_date": "2020-06-12",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 1,
      "location_summary": "Oakland, California",
      "locations": [
        {
          "city": "Oakland",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04390516"
    },
    {
      "nct_id": "NCT06002048",
      "title": "AI Ready and Exploratory Atlas for Diabetes Insights",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Type 2 Diabetes"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "University of Washington",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "40 Years",
        "maximum_age": "85 Years",
        "sex": "ALL",
        "summary": "40 Years to 85 Years"
      },
      "enrollment_count": 4000,
      "start_date": "2023-07-19",
      "completion_date": "2027-01-01",
      "has_results": false,
      "last_update_posted_date": "2025-04-06",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 3,
      "location_summary": "Birmingham, Alabama • San Diego, California • Seattle, Washington",
      "locations": [
        {
          "city": "Birmingham",
          "state": "Alabama"
        },
        {
          "city": "San Diego",
          "state": "California"
        },
        {
          "city": "Seattle",
          "state": "Washington"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06002048"
    },
    {
      "nct_id": "NCT05122247",
      "title": "Machine Learning to Predict Acute Care During Cancer Therapy",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Chemotherapeutic Toxicity"
      ],
      "interventions": [
        {
          "name": "Machine learning algorithm",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Duke University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 12000,
      "start_date": "2022-01-03",
      "completion_date": "2023-09-19",
      "has_results": false,
      "last_update_posted_date": "2023-09-21",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 1,
      "location_summary": "Durham, North Carolina",
      "locations": [
        {
          "city": "Durham",
          "state": "North Carolina"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05122247"
    },
    {
      "nct_id": "NCT04548180",
      "title": "Genome-Wide Assocation Study in Patients With Brain Injury Associated Fatigue and Altered Cognition (BIAFAC)",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Traumatic Brain Injury"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "The University of Texas Medical Branch, Galveston",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "70 Years",
        "sex": "ALL",
        "summary": "18 Years to 70 Years"
      },
      "enrollment_count": 68,
      "start_date": "2021-06-21",
      "completion_date": "2024-01-18",
      "has_results": false,
      "last_update_posted_date": "2025-12-24",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 1,
      "location_summary": "Galveston, Texas",
      "locations": [
        {
          "city": "Galveston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04548180"
    },
    {
      "nct_id": "NCT06804200",
      "title": "Prospective Validation of AKI Prediction",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Acute Kidney Injury"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "Adam C Dziorny",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "30 Days",
        "maximum_age": "18 Years",
        "sex": "ALL",
        "summary": "30 Days to 18 Years"
      },
      "enrollment_count": 800,
      "start_date": "2025-06-25",
      "completion_date": "2026-06-01",
      "has_results": false,
      "last_update_posted_date": "2026-04-08",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 1,
      "location_summary": "Rochester, New York",
      "locations": [
        {
          "city": "Rochester",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06804200"
    },
    {
      "nct_id": "NCT04467489",
      "title": "Biomarkers of CASH",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cerebral Cavernous Malformation",
        "Cavernous Angioma",
        "Hemorrhagic Microangiopathy"
      ],
      "interventions": [
        {
          "name": "observational",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Chicago",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 1040,
      "start_date": "2020-05-22",
      "completion_date": "2026-06-30",
      "has_results": false,
      "last_update_posted_date": "2025-08-11",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 4,
      "location_summary": "Phoenix, Arizona • San Francisco, California • Chicago, Illinois + 1 more",
      "locations": [
        {
          "city": "Phoenix",
          "state": "Arizona"
        },
        {
          "city": "San Francisco",
          "state": "California"
        },
        {
          "city": "Chicago",
          "state": "Illinois"
        },
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04467489"
    },
    {
      "nct_id": "NCT05509049",
      "title": "Precision Nudging Drives Wellness Visit Attendance at Scale",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Women's Health",
        "Annual Visit",
        "Well Visit",
        "Health Behavior",
        "Prevention"
      ],
      "interventions": [
        {
          "name": "Precision nudging",
          "type": "OTHER"
        },
        {
          "name": "Standard of care",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Lirio",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": "65 Years",
        "sex": "FEMALE",
        "summary": "21 Years to 65 Years · Female only"
      },
      "enrollment_count": 30068,
      "start_date": "2022-09-07",
      "completion_date": "2024-01-09",
      "has_results": false,
      "last_update_posted_date": "2024-01-17",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05509049"
    },
    {
      "nct_id": "NCT05846685",
      "title": "Patient Perspectives of an Automated Falls-Risk Screening and Referral Tool in the Emergency Department (ED)",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Falls-Risk"
      ],
      "interventions": [
        {
          "name": "Patient Phone Interviews",
          "type": "OTHER"
        },
        {
          "name": "Patient In Person Interviews",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Wisconsin, Madison",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 10,
      "start_date": "2022-02-22",
      "completion_date": "2026-02-28",
      "has_results": false,
      "last_update_posted_date": "2026-06-05",
      "last_synced_at": "2026-07-23T18:59:21.188Z",
      "location_count": 3,
      "location_summary": "Rockford, Illinois • Madison, Wisconsin",
      "locations": [
        {
          "city": "Rockford",
          "state": "Illinois"
        },
        {
          "city": "Madison",
          "state": "Wisconsin"
        },
        {
          "city": "Madison",
          "state": "Wisconsin"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05846685"
    },
    {
      "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": "2026-07-23T18:59:21.188Z",
      "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"
    }
  ]
}