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artificial intelligence ai

Total Trials
5
Recruiting Now
5
Trial Phases
Various

ClinicalMetric tracks all active clinical trials for artificial intelligence ai 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

Frequently Asked Questions — artificial intelligence ai Clinical Trials

How many clinical trials are currently recruiting for artificial intelligence ai?
ClinicalMetric currently tracks 5 actively recruiting clinical trials for artificial intelligence ai, sourced in real time from ClinicalTrials.gov. The total number of registered studies—including those not yet enrolling or in active follow-up—is 5. Trial availability changes daily as new studies open enrollment and existing ones reach capacity.
What trial phases are available for artificial intelligence ai?
artificial intelligence ai research spans multiple clinical trial phases. Phase 1 studies evaluate safety and dosing in small groups, Phase 2 studies assess preliminary efficacy in 100–300 participants, and Phase 3 trials compare the new treatment against the standard of care in 300–3,000+ patients. Phase 4 post-approval studies monitor long-term outcomes in real-world populations.
How do I find out if I qualify for a artificial intelligence ai clinical trial?
Eligibility criteria for artificial intelligence ai trials vary by study and typically specify age range, disease stage or severity, prior treatment history, and specific diagnostic or laboratory parameters. Each listing on ClinicalMetric links to the full protocol on ClinicalTrials.gov, where inclusion and exclusion criteria are documented. Contact the sponsoring site's research coordinator directly to confirm your eligibility—your treating physician or specialist can also help identify the most appropriate trial based on your medical history and current treatment status.
Top Sponsors
First Hospital of China Medical University 1 trial
Anhui Medical University 1 trial
University in Zielona Góra 1 trial
Chinese PLA General Hospital 1 trial
Fundació Sant Joan de Déu 1 trial

Recruiting Clinical Trials

NCT07133516
Recruiting

A Multi-center Study on Artificial Intelligence-Based Quantitative Evaluation of Echocardiography

Enrollment
1,600 pts
Location
China
Sponsor
First Hospital of China Medica...
View Trial →
NCT07112599
Recruiting

Study of Predicting Lymph Node Metastasis of High-risk Prostate Cancer by Artificial Intelligence Multi-omics Analysis

Enrollment
2,000 pts
Location
China
Sponsor
Anhui Medical University
View Trial →
NCT06584266
Recruiting

Multimodal Cardiac Imaging Registry in Patients with Atrial Fibrillation

Enrollment
3,000 pts
Location
Czechia, Poland
Sponsor
University in Zielona Góra
View Trial →
NCT07072858
Recruiting

Using Cardiac MRI to Predict Outcomes in Patients With STEMI

Enrollment
1,000 pts
Location
China
Sponsor
Chinese PLA General Hospital
View Trial →
NCT07469215
Recruiting

Behavioral Parent Training With and Without AI Support for Children With Disruptive Behaviors

Enrollment
40 pts
Location
Spain
Sponsor
Fundació Sant Joan de Déu
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