← Browse by Condition
Medical Condition

artifical intelligence

Total Trials
3
Recruiting Now
3
Trial Phases
Various

ClinicalMetric tracks all active clinical trials for artifical intelligence sourced from ClinicalTrials.gov. Each listing includes the NCT identifier, current recruitment status, phase, primary endpoints, sponsor, estimated enrollment, and participating countries — updated daily as new studies open and status changes.

  • Recruiting trials currently enrolling participants, with eligibility criteria and age requirements
  • Phase 1–4 studies from early safety trials to post-marketing surveillance
  • NIH, pharmaceutical sponsor, and academic medical center studies worldwide
  • AI-powered plain-language summary available for every trial listing
Top Sponsors
The University of Hong Kong 1 trial
University of California, Los Angeles 1 trial
Bruyère Health Research Institute. 1 trial
NCT07467928
Recruiting

The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion

Enrollment
404 pts
Location
Hong Kong
Sponsor
The University of Hong Kong
View Trial →
NCT06859216
Recruiting

Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients

Enrollment
460 pts
Location
United States
Sponsor
University of California, Los ...
View Trial →
NCT07248046
Recruiting

Smartphone vs Manual Interpretation of Biomarkers for Ovulation and Luteal Phase Detection (SMOM Study)

Enrollment
30 pts
Location
Canada
Sponsor
Bruyère Health Research Instit...
View Trial →
ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology