Clinical trials
Deep Learning clinical trials
Below are recruiting deep learning clinical trials, each written for real people, not researchers. We’re tracking 81 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07162168Recruiting
Using AI to measure bone age from abdominal CT scans
This study uses artificial intelligence to estimate bone age from standard abdominal CT scans. It may help researchers understand how bone age relates to health conditions without extra X-rays.
BeijingAges 18 years+ - NCT07146737Recruiting
Predicting cornea shape after ICL implant surgery
This trial uses a computer model to predict how the cornea changes after ICL implantation, which is a lens placed inside the eye to correct vision. It tests if the model can help doctors plan safer surgeries.
Nanchang, JiangxiAges 18–45 - NCT07127939Recruiting
AI eye test for traditional Chinese medicine body type
This study uses eye photos and artificial intelligence to figure out your traditional Chinese medicine body type. It may help doctors understand your health better without extra poking or prodding.
Nanchang, JiangxiAges 18–45 - NCT07124754Recruiting
Predicting lymph node spread in early stomach cancer
This study tests if artificial intelligence can predict whether early-stage stomach cancer has spread to lymph nodes. It also evaluates how well doctors assess the cancer. If the technology works, it could help guide treatment decisions.
Shijiazhuang, None SelectedAges 18 years+ - NCT07087613Recruiting
Detecting heart and lung pressure problems with a smart stethoscope
This study tests if a digital stethoscope and a simple 3-lead ECG (heart rhythm test) can detect two heart conditions: high blood pressure in the lungs (pulmonary hypertension) and low pumping strength of the heart (low ejection fraction). It's intended for adults who recently had a heart ultrasound or a heart catheterization.
O'Fallon, IllinoisAges 18 years+ - NCT07079592Recruiting
Detecting pulmonary hypertension with AI and EKGs
This trial uses an artificial intelligence program to analyze a standard EKG to see if it can detect pulmonary hypertension (high blood pressure in the lungs). It might help find the condition earlier and without invasive tests.
TaipeiAges 50–85 - NCT06978998Recruiting
Retinal photos to help predict heart failure outcomes
This study tests whether a simple eye photo can help doctors better predict the course of heart failure with reduced pumping strength. If it works, this low-cost test could improve care for people with this condition.
SeoulAges 20 years+ - NCT06965387Recruiting
Deep learning study for gummy smile analysis
This study uses artificial intelligence to analyze smiles and identify a gummy smile (excess gum showing when you smile). It may help researchers better understand and diagnose this condition.
Ankara, CankayaAges 12 years+ - NCT07063901Recruiting
Predicting esophageal cancer treatment response with AI and imaging
This trial uses artificial intelligence to analyze CT scans and predict how well esophageal cancer responds to chemotherapy combined with immunotherapy before surgery. The goal is to help doctors personalize treatment for better outcomes.
Changsha, HunanAges Any age - NCT06088134Recruiting
Predicting survival after kidney cancer surgery with CT scans
This study uses a computer model to analyze your CT scans and predict how long you might stay cancer-free after surgery. It aims to help doctors personalize follow-up care for clear cell kidney cancer.
Chongqing, Chongqing MunicipalityAges Any age - NCT06851429Recruiting
Ovarian cancer detection on CT scans using artificial intelligence
This trial tests a computer program (artificial intelligence) that looks at CT scans of the pelvis to help find ovarian cancer. If it works, it could help doctors diagnose this cancer earlier and more accurately.
Taoyuan City, Guishan DistrictAges 20 years+ - NCT06749145Enrolling by invitation
Using deep learning to find aortic stenosis earlier
This study tests if a deep learning tool can help detect aortic stenosis, a heart valve condition, in older adults during routine primary care visits. If you are 70 or older and have not had a recent echocardiogram, you may be able to join.
New Haven, ConnecticutAges 70 years+ - NCT06317181Recruiting
Liver disease evaluation with AI-enhanced ultrasound
This trial tests whether a new deep-learning computer program can better detect liver disease using ultrasound data. It may help improve diagnosis without extra procedures.
DresdenAges 18 years+ - NCT06540846Recruiting
Deep learning study for gynecologic muscle tumors
This trial uses a computer to study tissue samples from uterine muscle tumors (like fibroids and rare cancers). The goal is to improve how doctors classify these tumors and predict patient outcomes.
BordeauxAges Any age - NCT06534645Recruiting
STOP-stroke: Predicting recovery after a stroke
This study collects health data from people with a suspected stroke to improve predictions of recovery. Your participation helps researchers better understand how to treat strokes in the future.
ZurichAges Any age - NCT06546592Recruiting
AI tool for better breast radiation planning
This trial tests whether an artificial intelligence (AI) tool can help doctors plan radiation therapy more precisely for breast cancer. It aims to make treatment safer and more effective by using AI to outline the area to be treated.
Dubbo, New South WalesAges 18 years+ - NCT06444425Enrolling by invitation
AI test for heart function using ultrasound
This trial uses artificial intelligence to analyze heart ultrasound images. It aims to see if AI can detect heart function better than standard methods. You may be eligible if you are a cardiology patient having an ultrasound and can return for extra blood pressure checks.
Yiwu, ZhejiangAges 18 years+ - NCT06118840Recruiting
AI tool for spotting brain aneurysms on CT scans
This trial tests if an AI model can help doctors detect brain aneurysms more accurately on head CT angiograms (CTA). It may lead to earlier treatment and better outcomes.
Hefei, AnhuiAges 18 years+ - NCT05800821Recruiting
Predicting brain blood-flow problems after carotid surgery
This study uses deep learning to predict which people are at risk for “cerebral hyperperfusion syndrome” (a dangerous spike in brain blood flow) after carotid revascularization. If you qualify, they’ll use scans/tests to estimate your risk so doctors can watch you more closely if needed.
MinskAges 30–80 - NCT05317390Recruiting
Tests an AI tool to diagnose isolated dystonia
This trial checks whether an AI (software) called DystoniaNet can accurately identify isolated dystonia using information from your evaluation, and compares its results to standard diagnosis. If you have focal, segmental, or generalized dystonia, this study may help improve faster and more accurate diagnosis in the future.
Boston, MassachusettsAges Any age - NCT05204186Recruiting
AI Tool to Predict Health Outcomes After Bladder Removal Surgery
This study tests an artificial intelligence tool designed to predict how patients will recover after bladder cancer surgery. The AI analyzes existing medical information to help doctors better understand which patients might face complications based on their other health conditions.
Amiens, PicardieAges 18 years+ - NCT07337824Recruiting
Two Neck Training Methods for Forward Head Posture
This study compares two types of training for university students with forward head posture: strengthening deep neck flexors (muscles at the front of the neck) and motor learning based on brain plasticity (teaching your brain new ways to control posture). The goal is to see which approach works better for improving head alignment.
Islamabad, CapitalAges 19–25 - NCT06463392Recruiting
Deep learning tool to diagnose post-radiation nasopharyngeal changes
This trial tests a new computer-based tool (deep learning) to help diagnose a condition called sbORN (suspected benign or recurrent nasopharyngeal carcinoma) after radiation therapy. It aims to see if the tool can accurately tell if a suspicious spot is a recurrence or something harmless.
Guangzhou, GuangdongAges 18 years+ - NCT07738419Recruiting
AI Heart Ultrasound Measurement Accuracy Study
This study tests an artificial intelligence program designed to automatically take measurements from standard heart ultrasound images. It aims to see if the AI works as well as expert doctors.
Milan, LombardyAges 18 years+
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Common questions
- Are there clinical trials for deep learning?
- Yes. Clin2 currently lists 81 recruiting deep learning studies from the U.S. registry, each rewritten for real people, not researchers, so you can see what it’s testing and who it’s for.
- How do I know if I qualify for a deep learning trial?
- Each study lists its eligibility criteria — rules about age, diagnosis, and prior treatments. On every Clin2 trial page we explain these in words written for real people and offer a short, optional pre-screen for a fit read. The study team makes the final decision.
- Does it cost anything to join a deep learning trial?
- Using Clin2 is always free. Many trials cover the cost of the study treatment and related visits; some reimburse travel. The study team explains exactly what’s covered before you decide.
Related conditions
Clin2 helps you find and understand clinical trials and does not provide medical advice. Study data comes from ClinicalTrials.gov. Talk with your doctor about whether a specific trial is right for you.