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Description
ClinicalTrials.gov provides the source for 3,000 clinical trials registered between 2000 and 2025 that involve artificial intelligence, machine learning, or digital-health software. The dataset, created by moncefem, includes 30 LLM-extracted analytical variables such as use-type, disease area, and evidence-strength scores. It was last updated on 2026-05-17.
Use Cases
Analyzing trends in AI/ML adoption in clinical research based on the 2000-2025 time range.
Evaluating evidence strength and deployment maturity of digital health tools based on the extracted scores.
Studying sponsor mix and disease area focus within AI-related clinical trials.
Strengths
Contains 3,000 clinical trial records.
Includes 30 LLM-extracted analytical variables per record.
Covers a 25-year time span from 2000 to 2025.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
ClinicalTrials.gov
Collection Method
Generated end-to-end via scraping, typed schema creation, per-row LLM extraction, and export.
Time Range
2000 to 2025
Freshness
Last updated 2026-05-17 23:00:09; freshness should be verified.
License is unknown; restrictions should be verified before use.