{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Large+Language+Model",
    "query": {
      "intervention": "Large Language Model"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 50,
    "total_pages": 5,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Large+Language+Model&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-04T05:15:51.982Z",
  "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": "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": "2026-09-04T05:15:51.982Z",
      "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": "NCT07222644",
      "title": "Clinical Language Evaluation With AI for Residents",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Patient Communication"
      ],
      "interventions": [
        {
          "name": "educational LLM-based feedback tool",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "The University of Texas Health Science Center, Houston",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "50 Years",
        "sex": "ALL",
        "summary": "18 Years to 50 Years"
      },
      "enrollment_count": 64,
      "start_date": "2025-10-23",
      "completion_date": "2026-05-28",
      "has_results": false,
      "last_update_posted_date": "2025-10-30",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Houston, Texas",
      "locations": [
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07222644"
    },
    {
      "nct_id": "NCT06588452",
      "title": "Manual Versus AI-Assisted Clinical Trial Screening Using Large-Language Models",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Comparing Manual and AI Patient Screening in Heart Failure"
      ],
      "interventions": [
        {
          "name": "RECTIFIER - a generative artificial intelligence screening tool",
          "type": "OTHER"
        },
        {
          "name": "Manual clinical trial screening by study staff",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Brigham and Women's Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "90 Years",
        "sex": "ALL",
        "summary": "18 Years to 90 Years"
      },
      "enrollment_count": 4500,
      "start_date": "2024-03-04",
      "completion_date": "2024-09-13",
      "has_results": false,
      "last_update_posted_date": "2024-09-19",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06588452"
    },
    {
      "nct_id": "NCT07107152",
      "title": "Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Colorectal Cancer Control and Prevention"
      ],
      "interventions": [
        {
          "name": "single GPT generated message",
          "type": "BEHAVIORAL"
        },
        {
          "name": "AI Chatbot",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Expert-Written Patient Materials",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Pennsylvania",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "45 Years",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "45 Years to 75 Years"
      },
      "enrollment_count": 915,
      "start_date": "2025-06-11",
      "completion_date": "2025-06-21",
      "has_results": false,
      "last_update_posted_date": "2025-08-07",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07107152"
    },
    {
      "nct_id": "NCT07598721",
      "title": "Ambient AI Clinical Trial",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Artificial Intelligence (AI)",
        "Physician Burnout",
        "Physician Work Environment"
      ],
      "interventions": [
        {
          "name": "Use of Ambient AI scribe tool on participant's mobile device",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Washington",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 139,
      "start_date": "2024-12-19",
      "completion_date": "2025-07-04",
      "has_results": false,
      "last_update_posted_date": "2026-05-28",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Seattle, Washington",
      "locations": [
        {
          "city": "Seattle",
          "state": "Washington"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07598721"
    },
    {
      "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": "2026-09-04T05:15:51.982Z",
      "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"
    },
    {
      "nct_id": "NCT06999226",
      "title": "RENEW-AI: Personalizing Scleroderma Management With an AI Health Coach",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Scleroderma"
      ],
      "interventions": [
        {
          "name": "RENEW-AI",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "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": 20,
      "start_date": "2025-05-19",
      "completion_date": "2025-08-01",
      "has_results": false,
      "last_update_posted_date": "2025-08-20",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Ann Arbor, Michigan",
      "locations": [
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06999226"
    },
    {
      "nct_id": "NCT06911645",
      "title": "Diagnostic Reasoning With Customized GPT-4 Model",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Pathologic Processes",
        "Disease"
      ],
      "interventions": [
        {
          "name": "Immediate access to customized version of GPT-4",
          "type": "OTHER"
        },
        {
          "name": "Access to customized version of GPT-4 following use of conventional resources",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Stanford University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": null,
        "sex": "ALL",
        "summary": "Not listed"
      },
      "enrollment_count": 70,
      "start_date": "2024-12-16",
      "completion_date": "2025-01-24",
      "has_results": false,
      "last_update_posted_date": "2025-04-04",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Palo Alto, California",
      "locations": [
        {
          "city": "Palo Alto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06911645"
    },
    {
      "nct_id": "NCT06002425",
      "title": "Treatment Recommendations for Gastrointestinal Cancers Via Large Language Models",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Gastrointestinal Neoplasm Malignant"
      ],
      "interventions": [
        {
          "name": "Clinician-Directed Treatment Plan",
          "type": "OTHER"
        },
        {
          "name": "ChatGPT-Assisted Treatment Plan",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Chinese Academy of Sciences",
      "sponsor_class": "OTHER_GOV",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 400,
      "start_date": "2023-08-29",
      "completion_date": "2028-12-31",
      "has_results": false,
      "last_update_posted_date": "2023-09-08",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 1,
      "location_summary": "Duarte, California",
      "locations": [
        {
          "city": "Duarte",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06002425"
    },
    {
      "nct_id": "NCT07732140",
      "title": "Listen Aphasia Pilot Study",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Aphasia",
        "Malignant Brain Tumor"
      ],
      "interventions": [
        {
          "name": "LISTEN (AI-based AAC smartphone app)",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "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": 80,
      "start_date": "2027-01",
      "completion_date": "2030-12",
      "has_results": false,
      "last_update_posted_date": "2026-07-28",
      "last_synced_at": "2026-09-04T05:15:51.982Z",
      "location_count": 2,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07732140"
    }
  ]
}