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artificial intelligence ai in diagnosis

Total Trials
3
Recruiting Now
3
Trial Phases
Various

ClinicalMetric tracks all active clinical trials for artificial intelligence ai in diagnosis sourced from ClinicalTrials.gov. Research in this area spans early-phase safety investigations through large Phase 3 confirmatory trials, conducted by NIH-funded academic centers, independent investigators, and pharmaceutical sponsors worldwide. Each listing is updated daily as new studies open enrollment and existing ones reach capacity or complete follow-up.

Trial listings include the NCT identifier, current recruitment status, phase classification, primary and secondary endpoints, estimated enrollment size, participating countries, and direct links to the full protocol on ClinicalTrials.gov. Eligibility criteria — including age range, disease stage, and prior treatment requirements — are documented for every study to help patients and clinicians assess suitability before contacting a trial site.

Frequently Asked Questions — artificial intelligence ai in diagnosis Clinical Trials

How many clinical trials are currently recruiting for artificial intelligence ai in diagnosis?
ClinicalMetric currently tracks 3 actively recruiting clinical trials for artificial intelligence ai in diagnosis, sourced in real time from ClinicalTrials.gov. The total number of registered studies—including those not yet enrolling or in active follow-up—is 3. Trial availability changes daily as new studies open enrollment and existing ones reach capacity.
What trial phases are available for artificial intelligence ai in diagnosis?
artificial intelligence ai in diagnosis 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 in diagnosis clinical trial?
Eligibility criteria for artificial intelligence ai in diagnosis 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
University Hospital, Lille 1 trial
National Defense Medical Center, Taiwan 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 →
NCT07352475
Recruiting
Reasoning Enrichment With Feedback From IA in NEphrology Trial
Enrollment
100 pts
Location
France
Sponsor
University Hospital, Lille
View Trial →
NCT07079592
Recruiting
A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension
Enrollment
8,666 pts
Location
Taiwan
Sponsor
National Defense Medical Cente...
View Trial →

Related Conditions

artificial intelligence ai (2) cardiovascular diseases cvd (1) echocardiography (1) diagnosis (1) clinical decision making (1) decision support systems clinical (1) hypertension pulmonary (1)
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