Clinical trials
Machine Learning clinical trials
Below are recruiting machine learning clinical trials, each written for real people, not researchers. We’re tracking 93 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06828692Recruiting
Using computer tools to find the best blood pressure medicine for you
This trial tests a computer program that helps doctors choose the most suitable blood pressure medicine for each person. If you have high blood pressure and are taking none or two types of medication, this study may help find a better treatment plan.
Shenzhen, ShenzhenAges 35–79 - NCT07800962Enrolling by invitation
Comparing bedside heart ultrasound to standard echocardiography
This study looks at whether a quick ultrasound done at the bedside (point-of-care) can give similar information to a full echocardiogram. Participants must be adults having both tests within 24 hours of each other, and their medical data must be available for research.
New York, New YorkAges 18 years+ - NCT06163781Recruiting
Using machine learning to guide blood culture use in the ER
This trial tests whether a machine learning model can help doctors decide when to order blood cultures for patients in the emergency department. It aims to reduce unnecessary tests while still catching infections.
AmsterdamAges 18 years+ - NCT06792175Enrolling by invitation
Using speech to detect mental health conditions
This study uses a computer program to listen to your speech and see if it can help detect mental health or neurodevelopmental conditions. It may help find new ways to diagnose conditions like ADHD, anxiety, depression, and others earlier.
Brookline, MassachusettsAges 13–60 - NCT06842446Recruiting
Fast detection of blood clots using machine learning
This trial tests whether a machine learning algorithm can quickly detect deep vein thrombosis (blood clots) in people coming to the emergency room. It could help speed up diagnosis and treatment.
SarpsborgAges 18 years+ - NCT07855783Recruiting
Predicting pregnancy success after fertility treatments
This study uses past patient information and early pregnancy blood test results to create a computer model that can forecast whether a fertility treatment will lead to a live birth. If you have undergone fertility treatment and had a positive early pregnancy test, your data may help improve predictions for future patients.
RijekaAges 18–45 - NCT05035511Recruiting
Predicting tDCS results in autistic teens with machine learning
This study uses machine learning to predict how well a teen with autism may respond to tDCS, a non-invasive brain stimulation. It mainly looks at personal factors (like understanding instructions and baseline abilities) to better estimate treatment outcomes.
Hung Hom, KowloonAges 12–22 - NCT06927791Recruiting
Using AI to spot heart problems earlier
This trial uses machine learning (a type of artificial intelligence) to help doctors diagnose acute heart or vessel conditions faster. It may lead to quicker treatment for patients with sudden heart problems.
BaselAges 18 years+ - NCT07333560Recruiting
Predicting recovery after hip or knee replacement
This study is developing a tool that uses machine learning to predict how well you will recover after hip or knee replacement surgery. It aims to help doctors create better recovery plans for people like you.
BolognaAges 18 years+ - NCT05864976Recruiting
MRI planning help for people with suspected brain tumor
This trial uses a special MRI approach and computer analysis to help plan neurosurgery for adults with a brain lesion that looks like glioblastoma. It may improve how surgeons find and navigate the target area before an operation.
St Louis, MissouriAges 18 years+ - NCT05479617Recruiting
Predicting ulcerative colitis flare course using personal data
This study tries to better predict how an ulcerative colitis flare will progress by using a mix of your medical information. If you are eligible, your flare details may help researchers build tools that guide future care.
Hvidovre, DenmarkAges 18 years+ - NCT06957587Recruiting
Using Ultrasound and AI to Measure Blood Volume
This study tests if an artificial intelligence (AI) program can accurately measure how much blood you have in your body using ultrasound pictures. It may help doctors better manage fluids during surgery or illness.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT07162194Recruiting
Testing AI for reading prostate MRI scans
This study uses an artificial intelligence (AI) program to read MRI scans of the prostate and compare its findings with those of expert radiologists. The goal is to see if the AI can detect prostate cancer as accurately as the human experts, which might help in future diagnosis and treatment planning.
Los Angeles, CaliforniaAges 20 years+ - NCT04060706Recruiting
Testing new computer tools for radiation treatment planning
This study tests how well new computer methods (called algorithms and machine learning) can support radiation therapy decisions. You might benefit by helping improve how radiation is planned and checked, especially for cancers treated with curative-intent therapy.
Cambridge, CambridgeshireAges 18 years+ - NCT05732974Recruiting
Using a computer tool to find lung cancer relapse risk
This study uses a machine-learning computer method to identify people with early-stage lung cancer who have a higher risk of the cancer coming back after surgery. If you qualify, your information may help researchers improve how doctors predict relapse and plan follow-up care.
ToulouseAges 18 years+ - NCT07870460Recruiting
Predicting training participation in youth football players
This study uses wearable sensors and machine learning to understand why some elite youth football players reduce their training participation. It aims to help coaches and medical staff better support players.
OlomoucAges 15–19 - NCT06364670Recruiting
Acupuncture for tinnitus: brain imaging study
This study is testing whether acupuncture can help treat tinnitus by using a special brain imaging technique (fNIRS) to see how the brain responds. It may help find out who benefits most from acupuncture.
Hangzhou, ZhejiangAges 18–60 - NCT07783828Recruiting
Chatbot-guided exercise for brain injury recovery
This trial tests whether a smartphone chatbot can help people recovering from a mild brain injury stick to a personalized, guided exercise program. It aims to improve their physical and mental well-being during recovery.
TaipeiAges 18 years+ - NCT07771296Recruiting
Using smart technology to improve diagnosis of jaw muscle pain
This study uses machine learning and MRI scans to better diagnose jaw muscle pain, which could lead to more tailored treatments. If you have persistent jaw pain that hasn't responded to basic painkillers, this trial might help you find a clearer diagnosis.
New Taipei City, SanxiaAges 18–70 - NCT07749183Recruiting
Light-based detection of atrial fibrillation in heart failure
This study tests a new device that uses light to detect irregular heartbeats (atrial fibrillation) in people with heart failure. If you join, you'll wear a small sensor that may help catch early signs of this condition.
BratislavaAges 18 years+ - NCT07714863Recruiting
Can machine learning predict ABPA recurrence?
This study uses a computer model to see if it can predict when ABPA (a lung condition) might come back. If you have ABPA and are stable after treatment, this could help doctors monitor you better.
Jinan, ShandongAges 18 years+ - NCT07690813Recruiting
AI model to predict nearsightedness with a non-dilated eye exam
This study uses an AI model to predict your nearsightedness prescription using a quick, non-dilated eye exam instead of the usual dilated exam. If you are between 18 and 60, have nearsightedness, and no major eye surgeries or conditions, you may be a good fit.
JiangxiAges 18–47 - NCT07682831Recruiting
Studying skin biopsies with advanced microscopy
This trial uses a special microscope to look at skin biopsy samples in new ways. It may help doctors understand skin conditions better without needing extra procedures.
Victor, New YorkAges Any age - NCT07661433Recruiting
Testing an AI tool to estimate baby weight before birth
This trial tests whether an artificial intelligence (AI) tool can more accurately estimate a baby's weight using ultrasound, compared to standard methods. If you're about to give birth, this study may help improve how doctors predict your baby's size.
New Orleans, LouisianaAges 18 years+
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Common questions
- Are there clinical trials for machine learning?
- Yes. Clin2 currently lists 93 recruiting machine 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 machine 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 machine 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.