ClinicalTrials.gov

Tracking AI in medicine — clinical trials

From the U.S. NIH clinical-trial registry ClinicalTrials.gov, clinical trials of AI (artificial intelligence / machine learning) in medicine and diagnostics, organized with conditions, sponsor, and status. This site is not an official U.S. government website.

This page organizes public data and is not medical advice or diagnosis. Decisions such as trial participation should be based on your physician and official information. We do not handle individual patient data.

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Notable AI medical trials explained with key points, FAQs, and sources.

Recruiting Genetic Conditions

AI medical trial: a natural-history study collecting medical data on genetic conditions to build "advanced data analytics" (AI) tools (NHGRI observational study) — a clinical trial (ClinicalTrials.gov)

National Human Genome Research Institute (NHGRI)

A natural-history (observational) study collecting medical and genetic data from people with (or suspected to have) genetic conditions, and their relatives. The data aims to help develop advanced data-analytics tools for better analyzing and understanding genetic data.

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Completed Pneumothorax / Pulmonary Nodule, Solitary

AI medical trial: "Carebot AI CXR" reads chest X-rays vs. radiologists (completed)

Carebot s.r.o.

A multi-reader retrospective study evaluating how accurately the AI chest X-ray tool "Carebot AI CXR" (a deep-learning automated detection system) detects findings such as pneumothorax, pulmonary nodules, atelectasis, cardiomegaly, and pleural effusion compared with individual radiologists. Completed with 956 cases.

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Enrolling by invitation Esophageal Cancer

Observational study testing the clinical utility of an AI large language model for esophageal cancer screening, diagnosis, treatment and prognosis — a clinical trial (ClinicalTrials.gov)

The First Affiliated Hospital of Henan University of Science and Technology

An observational study using de-identified data from patients in routine esophageal cancer care to test whether an AI large language model can improve early detection, diagnostic accuracy, treatment personalization and prognosis prediction versus standard care over three years.

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Not yet recruiting Cardiac Amyloidosis / Heart Failure With Preserved Ejection Fraction (HFPEF)

AI medical trial: AI echocardiography to detect cardiac amyloidosis — a clinical trial (ClinicalTrials.gov)

Germans Trias i Pujol Hospital

A prospective study testing whether AI applied to echocardiography images can pick up patients with findings suggestive of cardiac amyloidosis (especially the ATTR type) — a condition easily missed. The AI flags are checked against confirmatory methods: bone-tracer SPECT, cardiac MRI, and blood tests.

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Latest (original, AI-in-medicine)

Recent clinical trials

Recently updated AI-in-medicine trials (original titles). Each links to the official ClinicalTrials.gov page.

Source: ClinicalTrials.gov (U.S. NIH/NLM, public domain). This site does not provide medical advice. Verify the latest and exact details with the official source. This site is not endorsed or certified by the NIH/NLM.

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