{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithm",
    "query": {
      "intervention": "Machine learning algorithm"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 133,
    "total_pages": 14,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Machine+learning+algorithm&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-04T03:05:51.151Z",
  "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": "NCT06810076",
      "title": "Developing and Evaluating a Machine-Learning Opioid Overdose Prediction & Risk-Stratification Tool in Primary Care",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Opiate Overdose",
        "Opioid-Related Disorders",
        "Narcotic-Related Disorders",
        "Substance-related Disorders",
        "Chemically-Induced Disorders",
        "Mental Disorders"
      ],
      "interventions": [
        {
          "name": "Machine Learning-Based Clinical Decision Support: Overdose Prevention Alert (OPA) Intervention",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Pittsburgh",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 674,
      "start_date": "2025-04-08",
      "completion_date": "2026-10-07",
      "has_results": false,
      "last_update_posted_date": "2026-04-13",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "Gainesville, Florida",
      "locations": [
        {
          "city": "Gainesville",
          "state": "Florida"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06810076"
    },
    {
      "nct_id": "NCT04358510",
      "title": "COVID-19 Mortality Prediction Model",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "COVID-19",
        "Pneumonia",
        "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": 114,
      "start_date": "2020-04-01",
      "completion_date": "2020-04-17",
      "has_results": false,
      "last_update_posted_date": "2020-04-24",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "Oakland, California",
      "locations": [
        {
          "city": "Oakland",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04358510"
    },
    {
      "nct_id": "NCT06065319",
      "title": "Wearables and Cardiac Rehabilitation",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cardiac Rehabilitation"
      ],
      "interventions": [
        {
          "name": "Wearable Sensors",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Texas A&M University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 18,
      "start_date": "2023-10-01",
      "completion_date": "2024-10-01",
      "has_results": false,
      "last_update_posted_date": "2024-09-23",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 2,
      "location_summary": "Austin, Texas • College Station, Texas",
      "locations": [
        {
          "city": "Austin",
          "state": "Texas"
        },
        {
          "city": "College Station",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06065319"
    },
    {
      "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": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "Oakland, California",
      "locations": [
        {
          "city": "Oakland",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04390516"
    },
    {
      "nct_id": "NCT06029452",
      "title": "A Retrospective Validation Study To Identify Chart-Based Clinical Diagnosis Of Wild-Type Transthyretin Amyloid Cardiomyopathy (Attrwt-CM) And Non-Amyloid Heart Failure Among Patients With Heart Failure (HF).",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "ATTR-CM"
      ],
      "interventions": [
        {
          "name": "Machine learning algorithm",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Pfizer",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "50 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "50 Years and older"
      },
      "enrollment_count": 558,
      "start_date": "2023-09-01",
      "completion_date": "2023-11-14",
      "has_results": true,
      "last_update_posted_date": "2025-01-03",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06029452"
    },
    {
      "nct_id": "NCT06637774",
      "title": "The Aspirometer: A Noninvasive Tool for Detecting Aspiration Aim 3",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Deglutition Disorders"
      ],
      "interventions": [
        {
          "name": "Aspirometer",
          "type": "DEVICE"
        },
        {
          "name": "Videofluoroscopic X-ray",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "University of Pittsburgh",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "100 Years",
        "sex": "ALL",
        "summary": "18 Years to 100 Years"
      },
      "enrollment_count": 50,
      "start_date": "2022-09-30",
      "completion_date": "2023-05-31",
      "has_results": true,
      "last_update_posted_date": "2025-02-19",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "Pittsburgh, Pennsylvania",
      "locations": [
        {
          "city": "Pittsburgh",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06637774"
    },
    {
      "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": "2026-09-04T03:05:51.151Z",
      "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": "NCT04473326",
      "title": "Reinforcement Learning in Diabetes Mellitus Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Diabetes Mellitus, Type 2",
        "Medication Adherence"
      ],
      "interventions": [
        {
          "name": "Reinforcement Learning",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Brigham and Women's Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "84 Years",
        "sex": "ALL",
        "summary": "18 Years to 84 Years"
      },
      "enrollment_count": 60,
      "start_date": "2021-02-04",
      "completion_date": "2022-01-28",
      "has_results": true,
      "last_update_posted_date": "2023-02-08",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04473326"
    },
    {
      "nct_id": "NCT06728059",
      "title": "Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 1 Diabetes"
      ],
      "interventions": [
        {
          "name": "Automated Insulin Delivery Adaptive NETwork (AIDANET)",
          "type": "DEVICE"
        },
        {
          "name": "AIDANET+ BPS_RL→AIDANET",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Sue Brown",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 19,
      "start_date": "2025-02-05",
      "completion_date": "2025-05-14",
      "has_results": true,
      "last_update_posted_date": "2026-05-28",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 1,
      "location_summary": "Charlottesville, Virginia",
      "locations": [
        {
          "city": "Charlottesville",
          "state": "Virginia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06728059"
    },
    {
      "nct_id": "NCT07103057",
      "title": "VIZ ACCESS HCM - Multi-Site Registry",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Hypertrophic Cardiomyopathy"
      ],
      "interventions": [
        {
          "name": "Viz HCM",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Viz.ai, Inc.",
      "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": "2025-06-13",
      "completion_date": "2028-12",
      "has_results": false,
      "last_update_posted_date": "2025-08-17",
      "last_synced_at": "2026-09-04T03:05:51.151Z",
      "location_count": 3,
      "location_summary": "Atlanta, Georgia • Evanston, Illinois • Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Atlanta",
          "state": "Georgia"
        },
        {
          "city": "Evanston",
          "state": "Illinois"
        },
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07103057"
    }
  ]
}