Clinical trials
Deep Learning clinical trials
Below are recruiting deep learning clinical trials, each written for real people, not researchers. We’re tracking 86 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06211218Recruiting
AI screening for multiple corneal diseases
This study uses artificial intelligence to look at slit-lamp images of your eye to screen for different corneal diseases. It may help find problems early when they are easier to treat.
Tianjin, Tianjin MunicipalityAges Any age - 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+ - NCT06420440RecruitingPhase 2
Pre-surgery treatment for liver cancer at high risk of return
This study tests a treatment given before surgery for liver cancer that is at high risk of coming back. You would receive a combination of chemotherapy directly into the liver artery (HAIC), a targeted pill (lenvatinib), and an immunotherapy drug (a PD-1 inhibitor) — if a computer model predicts you might benefit.
Xiangyang, HubeiAges 18–75 - NCT06506318Recruiting
Predicting drug-resistant liver abscess with deep learning
This trial uses a computer model based on deep learning to predict whether a bacterial liver abscess will be resistant to multiple antibiotics. It looks at your CT scan images to help doctors choose the right treatment sooner.
Shenyang, LiaoningAges 18 years+ - NCT06522815Recruiting
Updating AI for sleep apnea monitoring
This study tests an updated computer program (AI) that uses a wearable device to monitor sleep apnea. If you are 19 or older and already scheduled for a sleep study, you may be able to help improve how this technology detects breathing pauses during sleep.
SeoulAges 19 years+ - NCT06579547Recruiting
Testing MRI instead of CT for joint imaging
This study tests if a new, radiation-free MRI method can replace standard CT scans for checking joint problems like arthritis. You would get both an MRI and a CT scan, and researchers compare the results to see if the MRI works just as well without radiation.
ZurichAges 18 years+ - NCT06643338Recruiting
Testing AI to spot eye nerve conditions in the ER
This trial is testing a new computer system that uses photographs of the back of your eye (color fundus photos) to help doctors quickly identify certain nerve or vision problems in the emergency room. If you come to the specific hospital and meet the basic requirements, this study will take pictures of your eyes to see if the AI can spot conditions more accurately.
ParisAges 18 years+ - NCT06653478Recruiting
Smarter cancer risk assessment using all your medical info
This study is testing a new way to use medical images, records, and other information to better assess cancer risk and guide treatment. It may be a good fit if you have a suspicious spot in your lungs, stomach, or colon, or if you are healthy and want to help with early cancer detection research.
Wuhan, HubeiAges 18–75 - 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 - NCT06829147Recruiting
AI to diagnose lymph node spread in nasopharyngeal cancer
This trial tests whether a computer model can accurately detect if cancer has spread to lymph nodes in patients with nasopharyngeal carcinoma. It uses MRI and PET/CT scans taken before treatment to see if the AI can replace or supplement current methods.
Guangzhou, GuangdongAges Any age - 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+ - 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 - 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+ - 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 - NCT07158372Recruiting
Using AI to identify key anatomy in gallbladder surgery videos
This trial uses artificial intelligence to analyze surgery videos and help surgeons identify important structures during gallbladder removal. It may lead to safer procedures.
Zhengzhou, HenanAges 18 years+ - NCT07231627Recruiting
Using AI to improve prostate cancer detection from MRI
This trial tests whether an artificial intelligence (AI) program can help doctors decide when a prostate biopsy is needed. It is for men who have had a prostate MRI that shows either a low-risk (PIRADS 1-2) or uncertain (PIRADS 3) spot, along with a higher-than-normal PSA level. You may qualify if you have certain risk factors like a high PSA density, suspicious digital rectal exam, or family history of prostate cancer.
Little Rock, ArkansasAges 40 years+ - NCT07236658Recruiting
Using AI to detect arm problems after breast cancer surgery
This trial uses artificial intelligence (a computer program) to help predict arm and shoulder problems that can happen after breast cancer surgery. It aims to find these issues early so they can be treated better.
AnkaraAges 18 years+ - NCT07282184RecruitingPhase 1/Phase 2
Liver cancer risk prediction and treatment study
This trial uses a computer model to predict if your liver cancer might come back aggressively after surgery. If you are at high risk, you may receive additional treatment before surgery to lower that risk.
Wuhan, HubeiAges 18–75 - NCT07308704Recruiting
Using AI to spot heart muscle disease on echocardiograms
This study at Mayo Clinic is testing an artificial intelligence (AI) tool that analyzes echocardiograms (ultrasound of the heart) to find early signs of four types of heart muscle disease. If the AI flags a high-risk pattern, doctors can learn whether acting on that alert helps catch the condition sooner.
Rochester, MinnesotaAges 18 years+ - NCT07309107Recruiting
Deep learning study of amyloid pet scans for memory issues
This trial is testing a deep learning tool on amyloid PET scans from patients with memory problems. It aims to improve diagnosis and understanding of Alzheimer's disease.
Vandœuvre-lès-NancyAges 18–99 - NCT07349901Recruiting
Predicting hospital readmission after surgery using smart devices
This trial uses a smartwatch and smart ring to collect health data after elective surgery. The goal is to see if these sensors can help predict who might need to return to the hospital, so doctors can provide better follow-up care.
Manaus, AmazonasAges 18 years+ - NCT07417800Recruiting
Predicting liver cancer treatment after surgery
This study uses digital scans of your tumor tissue and CT/MRI images to build a computer model that helps predict whether you might need extra treatment (adjuvant therapy) after liver cancer surgery. The goal is to use your own tissue and scan data to personalize follow-up care.
Hangzhou, ZhejiangAges 18 years+ - NCT07447999Recruiting
Using AI to predict sleep apnea severity
This trial tests whether a special computer model can predict sleep apnea severity using a stethoscope and a fingertip oxygen sensor, instead of a full sleep test. It might help people get faster and easier sleep apnea diagnosis.
New Taipei CityAges 30–75 - NCT07532928Enrolling by invitation
Personalized Post-Surgery Care Plan for Advanced Head and Neck Cancer
This study helps doctors create a personalized plan for follow-up treatment after surgery for advanced head and neck cancer. Researchers will use imaging scans and patient data to predict which patients need extra treatment and which ones can be monitored closely instead.
GuangzhouAges 18 years+
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Common questions
- Are there clinical trials for deep learning?
- Yes. Clin2 currently lists 86 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.