Recruiting
Genetic Conditions
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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Active, not recruiting
Lung Cancer / Breast Cancer
AstraZeneca
A multinational observational study by AstraZeneca evaluating how computational pathology plus AI algorithms are used in the pathology workup of patients with suspected lung and breast cancer — gauging how far AI has entered routine pathology.
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Recruiting
Graves Disease / Hyperthyroidism/Thyrotoxicosis
THYROSCOPE INC.
An observational study evaluating whether the AI software device "Glandy HYPER" can detect a thyrotoxic state in hyperthyroidism (Graves' disease) using heart-rate data from commercial wearables, correlated with thyroid function tests (free T4).
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Recruiting
Ventricular Ejection Fraction / LVF
Peerbridge Health, Inc
A multicenter trial by Peerbridge Health validating an investigational AI Software-as-a-Medical-Device that estimates ejection fraction (EF) severity from continuous ECG captured by an FDA-cleared wearable patch, compared against echocardiography.
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Completed
Pneumothorax / Pulmonary Nodule, Solitary
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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Recruiting
Infertility (IVF Patients) / ICSI
Fecundis Lab SL
A multicenter observational study (no intervention) that aims to develop an AI platform for analyzing semen samples and predicting their clinical potential.
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Recruiting
Arrhythmia / Long QT Syndrome
Groupe Hospitalier Pitie-Salpetriere
A non-interventional observational study that aims to develop and validate interpretable AI tools applied to electrocardiogram (ECG) data for predicting life-threatening arrhythmias and immune checkpoint inhibitor-related myocarditis.
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Completed
Pregnancy Complications
Copenhagen Academy for Medical Education and Simulation
An observational study comparing the accuracy of two AI models with the traditional Hadlock formula for estimating fetal weight from ultrasound scans at 24–42 weeks of gestation.
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Completed
Iatrogenesis / Clinical Vignettes
Centre Hospitalier Universitaire, Amiens
A multicenter observational study using simulated cases (clinical vignettes) to test how much the AI app "POSOS" helps physicians detect drug-induced iatrogenesis.
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Not yet recruiting
Healthy Volunteer
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
An observational study that measures healthy adults extensively over two years and applies AI to understand why people differ in their tendency to gain weight.
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Enrolling by invitation
Esophageal Cancer
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)
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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