{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Artificial+Intelligence-Assisted+Care",
    "query": {
      "condition": "Artificial Intelligence-Assisted Care"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 8,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-06-10T16:40:48.441Z",
  "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": "NCT07532083",
      "title": "Implementing AI-Assisted, Patient-Friendly Imaging Report Summaries to Enhance Oncology Care Delivery",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Oncology"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "University of Wisconsin, Madison",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 2000,
      "start_date": "2026-02-01",
      "completion_date": "2027-01",
      "has_results": false,
      "last_update_posted_date": "2026-04-30",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "Madison, Wisconsin",
      "locations": [
        {
          "city": "Madison",
          "state": "Wisconsin"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07532083"
    },
    {
      "nct_id": "NCT07597499",
      "title": "ANCHOR Validation Trial in High-Risk Multidisciplinary Care",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "High-Risk Multidisciplinary Care",
        "Clinical Decision Support",
        "Artificial Intelligence-Assisted Care",
        "Telemedicine"
      ],
      "interventions": [
        {
          "name": "Gemini 3.1 Pro with Safety Prompt",
          "type": "BEHAVIORAL"
        },
        {
          "name": "ANCHOR Clinical AI Verification Layer (with Gemini 3.1 Pro)",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Waymark",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 240,
      "start_date": "2026-05-15",
      "completion_date": "2026-12",
      "has_results": false,
      "last_update_posted_date": "2026-06-09",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07597499"
    },
    {
      "nct_id": "NCT07251907",
      "title": "Structured Handoff Using Intelligent Framework for Transitions Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Electronic Medical Record",
        "Transitions of Care",
        "Physician Workflow",
        "Artificial Intelligence (AI)",
        "Large Language Model"
      ],
      "interventions": [
        {
          "name": "LLM tool to draft handoff",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Pennsylvania",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 85,
      "start_date": "2025-12-15",
      "completion_date": "2026-05-11",
      "has_results": false,
      "last_update_posted_date": "2026-06-02",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07251907"
    },
    {
      "nct_id": "NCT06062433",
      "title": "A Study of Remote Asthma Management Using an Integrated Artificial Intelligence-assisted EHR Dashboard and Mobile Device Compared With Usual Asthma Care to Treat 6-17 Year Old Patients",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Asthma in Children"
      ],
      "interventions": [
        {
          "name": "AsthmaTuner",
          "type": "DEVICE"
        },
        {
          "name": "Asthma-Guidance and Prediction System",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "Mayo Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "6 Years",
        "maximum_age": "17 Years",
        "sex": "ALL",
        "summary": "6 Years to 17 Years"
      },
      "enrollment_count": 47,
      "start_date": "2023-12-05",
      "completion_date": "2025-06-05",
      "has_results": false,
      "last_update_posted_date": "2025-08-19",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "Rochester, Minnesota",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06062433"
    },
    {
      "nct_id": "NCT04203251",
      "title": "Evaluation of TTE Utilization in Medical Surgery Step-Down Unit",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cardiac Disease"
      ],
      "interventions": [
        {
          "name": "Caption Health Guidance Technology",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Caption Health, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "99 Years",
        "sex": "ALL",
        "summary": "18 Years to 99 Years"
      },
      "enrollment_count": 100,
      "start_date": "2020-03",
      "completion_date": "2020-05",
      "has_results": false,
      "last_update_posted_date": "2019-12-18",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04203251"
    },
    {
      "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": "2026-06-10T16:40:48.441Z",
      "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"
    },
    {
      "nct_id": "NCT07293078",
      "title": "Point-of-Care AI Assistance and Critical Care Outcomes: A Randomized Trial",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE1",
        "PHASE2"
      ],
      "conditions": [
        "Critical Illness",
        "Sepsis",
        "Acute Respiratory Failure (ARF)",
        "Multi-organ Failure",
        "Acute Kidney Injury",
        "Delirium Confusional State",
        "Shock"
      ],
      "interventions": [
        {
          "name": "Point-of-care large language model decision support (ChatGPT-5)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "MetroWest Artificial Intelligence Research Workgroup",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 1000,
      "start_date": "2026-01-01",
      "completion_date": "2029-06-30",
      "has_results": false,
      "last_update_posted_date": "2025-12-18",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "Framingham, Massachusetts",
      "locations": [
        {
          "city": "Framingham",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07293078"
    },
    {
      "nct_id": "NCT06548373",
      "title": "Assessment of Diagnostic Adequacy of AI-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Anesthesia"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence-assisted Point-of-Care Echocardiography",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Loma Linda University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "65 Years",
        "sex": "ALL",
        "summary": "18 Years to 65 Years"
      },
      "enrollment_count": 16,
      "start_date": "2024-08-13",
      "completion_date": "2027-12",
      "has_results": false,
      "last_update_posted_date": "2026-06-05",
      "last_synced_at": "2026-06-10T16:40:48.441Z",
      "location_count": 1,
      "location_summary": "Loma Linda, California",
      "locations": [
        {
          "city": "Loma Linda",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06548373"
    }
  ]
}