{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=LLM",
    "query": {
      "intervention": "LLM"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 31,
    "total_pages": 4,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=LLM&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-06T15:27:34.337Z",
  "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": "NCT07317661",
      "title": "Effectiveness of a Large Language Model-Based Educational Tool on Intraocular Lens Options",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Eye Disorders",
        "Cataract Extraction",
        "Cataract and IOL Surgery",
        "Cataract Surgery Experience",
        "Cataract Surgery",
        "Intraocular Lens"
      ],
      "interventions": [
        {
          "name": "LLM-based Education",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Stanford University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 70,
      "start_date": "2026-01",
      "completion_date": "2026-06",
      "has_results": false,
      "last_update_posted_date": "2026-01-05",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "Palo Alto, California",
      "locations": [
        {
          "city": "Palo Alto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07317661"
    },
    {
      "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": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "Framingham, Massachusetts",
      "locations": [
        {
          "city": "Framingham",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07293078"
    },
    {
      "nct_id": "NCT06624605",
      "title": "Enhancing Interdisciplinary Understanding of Ophthalmology Notes Through a Local Large Language Model",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Communication",
        "Artificial Intelligence (AI)",
        "Artificial Intelligence Technology",
        "Interdisciplinary Communication"
      ],
      "interventions": [
        {
          "name": "Large Language Model-generated Plain Language Summary of Ophthalmology notes",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "John J Chen",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 851,
      "start_date": "2024-02-01",
      "completion_date": "2024-05-31",
      "has_results": false,
      "last_update_posted_date": "2024-10-03",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "Rochester, Minnesota",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06624605"
    },
    {
      "nct_id": "NCT07735442",
      "title": "BRIDGE-SIC Efficacy Trial",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Cancer"
      ],
      "interventions": [
        {
          "name": "LLM-generated SIC summary email to clinical teams",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Dana-Farber Cancer Institute",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 600,
      "start_date": "2026-08-04",
      "completion_date": "2028-06-30",
      "has_results": false,
      "last_update_posted_date": "2026-08-26",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 2,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07735442"
    },
    {
      "nct_id": "NCT07132125",
      "title": "Conversations With AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "HPV Vaccination Intent"
      ],
      "interventions": [
        {
          "name": "Default-style LLM chatbot",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Conversational-style LLM chatbot",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Public health informational materials",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Pennsylvania",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 930,
      "start_date": "2025-03-17",
      "completion_date": "2025-05-22",
      "has_results": false,
      "last_update_posted_date": "2025-08-20",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07132125"
    },
    {
      "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": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07251907"
    },
    {
      "nct_id": "NCT07666672",
      "title": "Digital Coach to Support Exposure Therapy Homework for Anxious Youth",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Anxiety Disorders",
        "OCD"
      ],
      "interventions": [
        {
          "name": "BraveBot",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Self-Guided Exposure Therapy Homework",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Massachusetts General Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "12 Years",
        "maximum_age": "22 Years",
        "sex": "ALL",
        "summary": "12 Years to 22 Years"
      },
      "enrollment_count": 50,
      "start_date": "2026-07-15",
      "completion_date": "2027-07-15",
      "has_results": false,
      "last_update_posted_date": "2026-06-24",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 3,
      "location_summary": "Belmont, Massachusetts • Boston, Massachusetts • Cambridge, Massachusetts",
      "locations": [
        {
          "city": "Belmont",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Cambridge",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07666672"
    },
    {
      "nct_id": "NCT07280650",
      "title": "Feasibility and Acceptability of an LLM-based Chatbot for Family Caregivers: Evaluation Study",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Caregivers"
      ],
      "interventions": [
        {
          "name": "LLM-based Chatbot",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Michigan",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 60,
      "start_date": "2026-08",
      "completion_date": "2027-06-30",
      "has_results": false,
      "last_update_posted_date": "2026-04-20",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "Ann Arbor, Michigan",
      "locations": [
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07280650"
    },
    {
      "nct_id": "NCT05816473",
      "title": "Artificial Intelligent Clinical Decision Support System Simulation Center Study for Technology Acceptance",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Gastrointestinal Hemorrhage"
      ],
      "interventions": [
        {
          "name": "LLM",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Yale University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": null,
        "sex": "ALL",
        "summary": "Not listed"
      },
      "enrollment_count": 108,
      "start_date": "2023-05-23",
      "completion_date": "2024-12-31",
      "has_results": true,
      "last_update_posted_date": "2026-05-22",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 1,
      "location_summary": "New Haven, Connecticut",
      "locations": [
        {
          "city": "New Haven",
          "state": "Connecticut"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05816473"
    },
    {
      "nct_id": "NCT07037940",
      "title": "Physician Response Evaluation With Contextual Insights vs. Standard Engines - Artificial Intelligence RAG vs LLM Clinical Decision Support",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Large Language Models"
      ],
      "interventions": [
        {
          "name": "OpenEvidence",
          "type": "OTHER"
        },
        {
          "name": "GPT-4",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Montefiore Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "25 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "25 Years and older"
      },
      "enrollment_count": 41,
      "start_date": "2025-07-03",
      "completion_date": "2025-12-30",
      "has_results": false,
      "last_update_posted_date": "2026-08-11",
      "last_synced_at": "2026-09-06T15:27:34.337Z",
      "location_count": 2,
      "location_summary": "Boston, Massachusetts • The Bronx, New York",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "The Bronx",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07037940"
    }
  ]
}