Clinical trials
Machine Learning clinical trials
Below are recruiting machine learning clinical trials, each written for real people, not researchers. We’re tracking 90 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 - 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+ - NCT02932176Recruiting
Study uses machine learning to improve handheld vascular scans
This study looks at handheld, non-invasive scans of blood vessels and uses machine learning to make the results better. You may be eligible if you have a clinician’s request for vascular testing and you choose to participate.
Durham, North CarolinaAges Any age - 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 - 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 - NCT05176769Recruiting
AI system to review hospital heart records in Greece
This trial uses a computer program to automatically study heart-care information stored in hospital computer records. It may help hospitals find insights faster from routine medical documentation.
AlexandroupoliAges 18 years+ - 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+ - NCT07087171Recruiting
AI tool for patient engagement in fertility treatment
This trial tests a new AI tool designed to help patients actively participate in their own fertility care. It may benefit people starting or considering medically assisted reproduction treatments like IVF or artificial insemination.
LisbonAges 18–45 - NCT06534840Recruiting
Predicting lung problems after liver transplant
This study uses a computer program to predict lung problems after a liver transplant. It may help doctors better care for people like you.
Chengdu, SichuanAges 18–80 - NCT05825014Recruiting
Using computer prediction to reduce COPD complications
This study uses information from past hospital discharge records and breathing test results to predict who with COPD may have worse health outcomes later. It may help future COPD care by identifying higher-risk patients earlier.
Hong Kong, New TerritoriesAges 40 years+ - NCT05789953Recruiting
Machine-learning plan to prevent lung complications after surgery
This trial tests a computer-based (machine-learning) approach to help prevent lung problems after elective surgery done under general anesthesia. It may help by identifying higher-risk patients and guiding care to reduce postoperative pulmonary complications.
UlmAges 18 years+ - 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+ - NCT07618416Recruiting
Blood Pressure Prediction Before Anesthesia in Older Adults
This study tests a computer model that uses heart-rhythm measurements to predict whether your blood pressure will drop dangerously after anesthesia begins. If accurate, it could help doctors prepare and protect you during surgery.
Beijing, ChinaAges 65 years+ - NCT06886529Recruiting
Patient and family involvement in cardiology care at SickKids
This study looks at how patients and families can be more involved in care for children admitted to the cardiology unit at SickKids. It may help improve how the hospital works with families.
TorontoAges Up to 18 years - NCT07521111Recruiting
Stomach Blood Flow and Feeding Tolerance in Critical Illness
This study examines whether measuring blood flow in the stomach using ultrasound can predict which hospitalized patients will struggle to tolerate tube feeding. Researchers hope this simple test might help doctors adjust feeding plans earlier and improve patient outcomes.
ShanghaiAges 18 years+ - NCT05886803Recruiting
Predicting breathing test success in the ICU
This study uses data from your hospital records to see if a machine learning tool can predict whether a patient will succeed when doctors try to remove their breathing tube during a test of their own breathing.
NiceAges Any age - NCT07428694Recruiting
Detecting air leaks during breathing support
This trial tests a machine learning tool to detect if air is leaking while using a breathing machine at night. It may help people who use a non-invasive ventilator at home get better care.
OsloAges 18 years+
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Common questions
- Are there clinical trials for machine learning?
- Yes. Clin2 currently lists 90 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.