{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Large+Language+Model&page=2",
    "query": {
      "condition": "Large Language Model",
      "page": 2
    },
    "page_size": 10
  },
  "pagination": {
    "page": 2,
    "page_size": 10,
    "total_count": 10,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Large+Language+Model&page=1&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-06-10T16:52:36.407Z",
  "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": "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": "2026-06-10T16:52:36.407Z",
      "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": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07251907"
    },
    {
      "nct_id": "NCT06190730",
      "title": "REmote Symptom COllection to improVE postopeRative Care",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Gastrointestinal Cancer",
        "Gastrointestinal Tumor",
        "Gastrointestinal Tumor Surgery",
        "Gastrointestinal Surgery"
      ],
      "interventions": [
        {
          "name": "Voice-Assisted Remote Symptom Monitoring System (VARSMS)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Medstar Health Research Institute",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 281,
      "start_date": "2024-07-23",
      "completion_date": "2027-12-31",
      "has_results": false,
      "last_update_posted_date": "2025-04-03",
      "last_synced_at": "2026-06-10T16:52:36.407Z",
      "location_count": 2,
      "location_summary": "Baltimore, Maryland • Omaha, Nebraska",
      "locations": [
        {
          "city": "Baltimore",
          "state": "Maryland"
        },
        {
          "city": "Omaha",
          "state": "Nebraska"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06190730"
    },
    {
      "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": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07132125"
    },
    {
      "nct_id": "NCT07022769",
      "title": "Testing an AI Large Language Model Tool for Cognitive Debiasing in Musculoskeletal Care",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Any Chronic, Non-traumatic Orthopedic Condition"
      ],
      "interventions": [
        {
          "name": "LLM-facilitated cognitive debiasing aid",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of Texas at Austin",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 150,
      "start_date": "2025-06-23",
      "completion_date": "2026-07-31",
      "has_results": false,
      "last_update_posted_date": "2026-06-09",
      "last_synced_at": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Austin, Texas",
      "locations": [
        {
          "city": "Austin",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07022769"
    },
    {
      "nct_id": "NCT07499570",
      "title": "Multi-modal Large Language Model-Empowered Talk Therapy for Older Adults With ADRD",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Mild Cognitive Impairment",
        "Dementia",
        "BPSD",
        "BPSD (Behavioral and Psychological Symptoms of Dementia)",
        "Reminiscence Therapy"
      ],
      "interventions": [
        {
          "name": "Smart Virtual Reminiscence Therapy",
          "type": "DEVICE"
        },
        {
          "name": "Music Therapy",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "Indiana University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 60,
      "start_date": "2025-09-03",
      "completion_date": "2027-03-01",
      "has_results": false,
      "last_update_posted_date": "2026-05-06",
      "last_synced_at": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Indianapolis, Indiana",
      "locations": [
        {
          "city": "Indianapolis",
          "state": "Indiana"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07499570"
    },
    {
      "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": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Palo Alto, California",
      "locations": [
        {
          "city": "Palo Alto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07317661"
    },
    {
      "nct_id": "NCT06859216",
      "title": "Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Ophthalmic Disease",
        "Artifical Intelligence",
        "Large Language Model"
      ],
      "interventions": [
        {
          "name": "AI-Generated Plain Language Summaries",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, Los Angeles",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 460,
      "start_date": "2025-03-01",
      "completion_date": "2026-06-01",
      "has_results": false,
      "last_update_posted_date": "2026-03-05",
      "last_synced_at": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06859216"
    },
    {
      "nct_id": "NCT07327242",
      "title": "Effectiveness of a Large Language Model-Based Educational Tool on Visual Field Test Reliability in Glaucoma Patients",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Glaucoma",
        "Eye Disorders",
        "Visual Fields",
        "Visual Field Tests"
      ],
      "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": 80,
      "start_date": "2026-01",
      "completion_date": "2026-06",
      "has_results": false,
      "last_update_posted_date": "2026-01-08",
      "last_synced_at": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Palo Alto, California",
      "locations": [
        {
          "city": "Palo Alto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07327242"
    },
    {
      "nct_id": "NCT06263855",
      "title": "Effect of Large Language Model in Assisting Discharge Summary Notes Writing for Hospitalized Patients",
      "overall_status": "WITHDRAWN",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Large Language Model"
      ],
      "interventions": [
        {
          "name": "CURE",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Mayo Clinic",
      "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": "2026-01-01",
      "completion_date": "2026-10-01",
      "has_results": false,
      "last_update_posted_date": "2026-01-30",
      "last_synced_at": "2026-06-10T16:52:36.407Z",
      "location_count": 1,
      "location_summary": "Rochester, Minnesota",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06263855"
    }
  ]
}