{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence-based+Decision+support",
    "query": {
      "intervention": "Artificial Intelligence-based Decision support"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 20,
    "total_pages": 2,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Artificial+Intelligence-based+Decision+support&page=2&page_size=10",
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-13T03:44:26.847Z",
  "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": "NCT05140642",
      "title": "Safety and Efficacy Study of AI LVEF",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Heart Failure, Systolic",
        "Heart Failure, Diastolic"
      ],
      "interventions": [
        {
          "name": "Automated annotation of the left ventricle through deep learning",
          "type": "OTHER"
        },
        {
          "name": "Sonographer Measurement of LVEF",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Cedars-Sinai Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "110 Years",
        "sex": "ALL",
        "summary": "18 Years to 110 Years"
      },
      "enrollment_count": 3495,
      "start_date": "2022-04-01",
      "completion_date": "2022-06-29",
      "has_results": false,
      "last_update_posted_date": "2022-07-05",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Los Angeles, California",
      "locations": [
        {
          "city": "Los Angeles",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05140642"
    },
    {
      "nct_id": "NCT06299384",
      "title": "The Use of Voice-Based AI in 988 Crisis Counseling",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Suicide",
        "Suicide and Self-harm"
      ],
      "interventions": [
        {
          "name": "LyssnCrisis",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Lyssn.io, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 81,
      "start_date": "2024-04-02",
      "completion_date": "2025-10-31",
      "has_results": false,
      "last_update_posted_date": "2026-04-06",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Portland, Oregon",
      "locations": [
        {
          "city": "Portland",
          "state": "Oregon"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06299384"
    },
    {
      "nct_id": "NCT04655924",
      "title": "Artificial Intelligence in Depression - Medication Enhancement",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Depression"
      ],
      "interventions": [
        {
          "name": "Clinical Decision Support System",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Aifred Health",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 94,
      "start_date": "2022-06-16",
      "completion_date": "2023-12-31",
      "has_results": false,
      "last_update_posted_date": "2024-01-30",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 5,
      "location_summary": "West Haven, Connecticut • Miami, Florida • Atlanta, Georgia + 2 more",
      "locations": [
        {
          "city": "West Haven",
          "state": "Connecticut"
        },
        {
          "city": "Miami",
          "state": "Florida"
        },
        {
          "city": "Atlanta",
          "state": "Georgia"
        },
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        },
        {
          "city": "Salem",
          "state": "Virginia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04655924"
    },
    {
      "nct_id": "NCT07706920",
      "title": "Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Decision Support Systems, Clinical",
        "Referral and Consultation"
      ],
      "interventions": [
        {
          "name": "SAGE (AI clinical decision support)",
          "type": "OTHER"
        },
        {
          "name": "Standard eConsult",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Stanford University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 15,
      "start_date": "2026-07",
      "completion_date": "2026-09",
      "has_results": false,
      "last_update_posted_date": "2026-07-16",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Stanford, California",
      "locations": [
        {
          "city": "Stanford",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07706920"
    },
    {
      "nct_id": "NCT07025096",
      "title": "Evaluating Artificial Intelligence-Based Clinical Decision Support for Sepsis and ARDS",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Sepsis",
        "Acute Respiratory Distress Syndrome (ARDS)"
      ],
      "interventions": [
        {
          "name": "Artifical Intelligence-Generated Treatment Recommendations",
          "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": 355,
      "start_date": "2025-12-05",
      "completion_date": "2026-07-03",
      "has_results": false,
      "last_update_posted_date": "2026-07-23",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07025096"
    },
    {
      "nct_id": "NCT06939803",
      "title": "AI-driven Clinical Decision Support to Reduce Hospital-Acquired Venous Thromboembolism: Study Protocol for the VTE-AI Randomized Trial.",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Venothromboembolism"
      ],
      "interventions": [
        {
          "name": "Risk model-driven CDS",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Vanderbilt University Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": null,
        "sex": "ALL",
        "summary": "Not listed"
      },
      "enrollment_count": 2236,
      "start_date": "2025-12-17",
      "completion_date": "2027-03-31",
      "has_results": false,
      "last_update_posted_date": "2026-02-13",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Nashville, Tennessee",
      "locations": [
        {
          "city": "Nashville",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06939803"
    },
    {
      "nct_id": "NCT05745103",
      "title": "Optimizing Behavioral Healthcare Delivery Through Technology",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Mood Disorders",
        "Anxiety Disorders"
      ],
      "interventions": [
        {
          "name": "Cognitive behavioral therapy with AI",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Cognitive behavioral therapy",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Eleos Health",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 46,
      "start_date": "2021-09-01",
      "completion_date": "2023-04-30",
      "has_results": false,
      "last_update_posted_date": "2024-01-31",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Joplin, Missouri",
      "locations": [
        {
          "city": "Joplin",
          "state": "Missouri"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05745103"
    },
    {
      "nct_id": "NCT07597499",
      "title": "ANCHOR Validation Trial in High-Risk Multidisciplinary Care",
      "overall_status": "COMPLETED",
      "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": "2026-07-06",
      "has_results": false,
      "last_update_posted_date": "2026-07-08",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07597499"
    },
    {
      "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": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "Austin, Texas",
      "locations": [
        {
          "city": "Austin",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07022769"
    },
    {
      "nct_id": "NCT07470463",
      "title": "Evaluation of One-Shot Vision Differential Diagnosis (OSVDE) and Multi-Step Conversational Non-Inferiority (MSCNE) in AI Medical Interviewing",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Differential Diagnosis",
        "Diagnostic Accuracy"
      ],
      "interventions": [
        {
          "name": "AI Diagnostic System (AIMD.1)",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Magic Health Inc. (d.b.a. Nolla Health)",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 30,
      "start_date": "2026-03-19",
      "completion_date": "2026-09-19",
      "has_results": false,
      "last_update_posted_date": "2026-03-25",
      "last_synced_at": "2026-09-13T03:44:26.847Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07470463"
    }
  ]
}