{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Standard+AI+Predicted+Probability",
    "query": {
      "intervention": "Standard AI Predicted Probability"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 2,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-02T20:32:54.995Z",
  "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": "NCT07457840",
      "title": "Integrating AI Predictions With Clinician Expertise",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Diagnostic Decision Making"
      ],
      "interventions": [
        {
          "name": "Bayesian-Updated Post-Test Probability",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Standard AI Predicted Probability",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Uncertainty Quantification (95% Confidence Interval)",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, San Francisco",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 100,
      "start_date": "2026-02-15",
      "completion_date": "2026-12",
      "has_results": false,
      "last_update_posted_date": "2026-07-14",
      "last_synced_at": "2026-09-02T20:32:54.995Z",
      "location_count": 1,
      "location_summary": "San Francisco, California",
      "locations": [
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07457840"
    },
    {
      "nct_id": "NCT06098950",
      "title": "Human Algorithm Interactions for Acute Respiratory Failure Diagnosis",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Acute Respiratory Failure"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence model predictions without explanation",
          "type": "OTHER"
        },
        {
          "name": "Artificial intelligence model predictions with explanation",
          "type": "OTHER"
        },
        {
          "name": "AI model biased against heart failure",
          "type": "OTHER"
        },
        {
          "name": "AI model biased against pneumonia",
          "type": "OTHER"
        },
        {
          "name": "AI model biased against COPD",
          "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": 457,
      "start_date": "2022-04-01",
      "completion_date": "2023-01-31",
      "has_results": false,
      "last_update_posted_date": "2023-10-25",
      "last_synced_at": "2026-09-02T20:32:54.995Z",
      "location_count": 1,
      "location_summary": "Ann Arbor, Michigan",
      "locations": [
        {
          "city": "Ann Arbor",
          "state": "Michigan"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06098950"
    }
  ]
}