{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=machine-learning+algorithm&page=5",
    "query": {
      "intervention": "machine-learning algorithm",
      "page": 5
    },
    "page_size": 10
  },
  "pagination": {
    "page": 5,
    "page_size": 10,
    "total_count": 135,
    "total_pages": 14,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=machine-learning+algorithm&page=6&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=machine-learning+algorithm&page=4&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-21T16:52:05.252Z",
  "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": "NCT05622695",
      "title": "Non-invasive Pulmonary Artery Prediction",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Heart Failure",
        "Pulmonary Arterial Hypertension"
      ],
      "interventions": [
        {
          "name": "catheterization",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Silverleaf Medical Sciences INC",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "20 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "20 Years and older"
      },
      "enrollment_count": 25,
      "start_date": "2022-10-30",
      "completion_date": "2023-08-31",
      "has_results": false,
      "last_update_posted_date": "2022-11-21",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05622695"
    },
    {
      "nct_id": "NCT05008640",
      "title": "Creation of an E-toileting Log Through Classification of the Physical Properties of Stool and Urine Using TrueLoo™",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Urinary Tract Infections",
        "Infectious Diarrhea",
        "Clostridium Difficile Infection",
        "Gastrointestinal Disease",
        "GastroIntestinal Bleeding"
      ],
      "interventions": [
        {
          "name": "TrueLoo™",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Toi Labs, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "55 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "55 Years and older"
      },
      "enrollment_count": 143,
      "start_date": "2019-11-14",
      "completion_date": "2021-06-18",
      "has_results": false,
      "last_update_posted_date": "2021-08-17",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 6,
      "location_summary": "Concord, California • Davis, California • Elk Grove, California + 2 more",
      "locations": [
        {
          "city": "Concord",
          "state": "California"
        },
        {
          "city": "Davis",
          "state": "California"
        },
        {
          "city": "Elk Grove",
          "state": "California"
        },
        {
          "city": "Sacramento",
          "state": "California"
        },
        {
          "city": "Sacramento",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05008640"
    },
    {
      "nct_id": "NCT03739177",
      "title": "Onco4D(TM) Biodynamic Chemotherapy Selection for Bladder Cancer Patients",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Bladder Cancer"
      ],
      "interventions": [
        {
          "name": "Onco4D Biodynamic Chemotherapy Selection Assay",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Animated Dynamics, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 150,
      "start_date": "2017-06-22",
      "completion_date": "2020-06-30",
      "has_results": false,
      "last_update_posted_date": "2020-01-13",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "Indianapolis, Indiana",
      "locations": [
        {
          "city": "Indianapolis",
          "state": "Indiana"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03739177"
    },
    {
      "nct_id": "NCT06792175",
      "title": "Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Autism Spectrum Disorder",
        "Depression - Major Depressive Disorder",
        "Anxiety, Generalized",
        "Bipolar Disorder (BD)",
        "Attention Deficit Hyperactivity Disorder (ADHD)",
        "Schizophrenia Spectrum &Amp; Other Psychotic Disorders",
        "Post Traumatic Stress Disorder",
        "Obsessive Compulsive Disorder (OCD)"
      ],
      "interventions": [
        {
          "name": "Solicue Machine Learning Models",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Mercuria Machine Learning Models",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Psyrin Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "13 Years",
        "maximum_age": "60 Years",
        "sex": "ALL",
        "summary": "13 Years to 60 Years"
      },
      "enrollment_count": 500,
      "start_date": "2025-02-04",
      "completion_date": "2026-07",
      "has_results": false,
      "last_update_posted_date": "2025-09-03",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 2,
      "location_summary": "Brookline, Massachusetts • Zanesville, Ohio",
      "locations": [
        {
          "city": "Brookline",
          "state": "Massachusetts"
        },
        {
          "city": "Zanesville",
          "state": "Ohio"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06792175"
    },
    {
      "nct_id": "NCT03611361",
      "title": "Wound Imaging Study to Gather Clinical References for a Device to Assist Selecting Level-of-amputation in PAD Patients",
      "overall_status": "TERMINATED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Amputation Wound",
        "Peripheral Arterial Disease"
      ],
      "interventions": [
        {
          "name": "SpectralMD DeepView Wound Imaging System 2.0",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "SpectralMD",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 55,
      "start_date": "2015-11-18",
      "completion_date": "2020-12",
      "has_results": false,
      "last_update_posted_date": "2024-04-17",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "Plano, Texas",
      "locations": [
        {
          "city": "Plano",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03611361"
    },
    {
      "nct_id": "NCT03969056",
      "title": "AI Activity Study in Patients With Elevated Blood Pressure",
      "overall_status": "TERMINATED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Hypertension"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence (AI) Activity",
          "type": "BEHAVIORAL"
        },
        {
          "name": "10,000 steps",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, San Francisco",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 7,
      "start_date": "2020-02-06",
      "completion_date": "2020-04-30",
      "has_results": false,
      "last_update_posted_date": "2023-12-20",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03969056"
    },
    {
      "nct_id": "NCT05976672",
      "title": "Machine Learning Technology in Predicting Relapse and Implementing Peer Recovery Intervention Before Drug Use Occurs",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Substance Abuse Disorder"
      ],
      "interventions": [
        {
          "name": "PRSS (Peer Recovery Support Specialist)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "West Virginia University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 500,
      "start_date": "2023-04-27",
      "completion_date": "2028-04-26",
      "has_results": false,
      "last_update_posted_date": "2025-03-24",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "Morgantown, West Virginia",
      "locations": [
        {
          "city": "Morgantown",
          "state": "West Virginia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05976672"
    },
    {
      "nct_id": "NCT03164863",
      "title": "Onco4D(TM) Biodynamic Chemotherapy Selection for Breast Cancer Patients",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Breast Cancer"
      ],
      "interventions": [
        {
          "name": "Onco4D Biodynamic Chemotherapy Selection Assay",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Animated Dynamics, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 150,
      "start_date": "2017-03-06",
      "completion_date": "2020-12-31",
      "has_results": false,
      "last_update_posted_date": "2020-01-13",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "Indianapolis, Indiana",
      "locations": [
        {
          "city": "Indianapolis",
          "state": "Indiana"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03164863"
    },
    {
      "nct_id": "NCT07493798",
      "title": "Serum Potassium Prediction Using Machine Learning and Single-lead ECG",
      "overall_status": "WITHDRAWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Infection",
        "Heart Failure",
        "Chronic Obstructive Pulmonary Disease",
        "Asthma",
        "Gout Flare",
        "Chronic Kidney Diseases",
        "Hypertensive Urgency",
        "Atrial Fibrillation Rapid",
        "Anticoagulants; Increased"
      ],
      "interventions": [
        {
          "name": "Potassium estimation algorithm",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Brigham and Women's Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 0,
      "start_date": "2021-03-20",
      "completion_date": "2021-12-01",
      "has_results": false,
      "last_update_posted_date": "2026-03-25",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 2,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07493798"
    },
    {
      "nct_id": "NCT05692830",
      "title": "Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Alcohol Drinking",
        "Alcohol Intoxication"
      ],
      "interventions": [
        {
          "name": "Alcohol",
          "type": "DRUG"
        }
      ],
      "intervention_types": [
        "DRUG"
      ],
      "sponsor": "University of Illinois at Urbana-Champaign",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "21 Years and older"
      },
      "enrollment_count": 240,
      "start_date": "2022-10-22",
      "completion_date": "2027-09-01",
      "has_results": false,
      "last_update_posted_date": "2025-08-06",
      "last_synced_at": "2026-10-21T16:52:05.252Z",
      "location_count": 1,
      "location_summary": "Champaign, Illinois",
      "locations": [
        {
          "city": "Champaign",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05692830"
    }
  ]
}