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
- NCT06447532Enrolling by invitation
Machine learning to track inflammation in breast cancer
This study uses a computer program to look at blood test results from women treated for breast cancer. The goal is to see if patterns in inflammation markers can help predict outcomes.
Buenos Aires, Buenos AiresAges 18–75 - NCT05188183Recruiting
Remote brain stimulation plus hand training for phantom limb pain
This trial tests whether remote brain stimulation (tDCS) combined with sensory (hand/limb) training can reduce phantom limb pain. It also uses computer prediction (“machine learning”) to estimate who is most likely to benefit.
Cambridge, MassachusettsAges 18 years+ - NCT06066372Recruiting
Using computer models to reduce need for scans for bile duct stones
This trial tests if a computer model can accurately predict when someone has a stone in the bile duct, so fewer people need invasive scans like endoscopic ultrasound or MRCP. It may help avoid unnecessary procedures in patients with a medium chance of having a bile duct stone.
Hyderabad, TelanganaAges 18–80 - NCT06069973Recruiting
Using AI to spot delayed brain injury after a brain bleed
This study uses artificial intelligence (machine learning) and blood tests to find early signs of delayed brain injury after a brain bleed. It aims to help doctors detect and treat this complication sooner.
GothenburgAges 18–110 - NCT05371405Recruiting
Using computer learning to improve care for atrial fibrillation patients
This study uses machine learning (computer pattern-finding) to better understand atrial fibrillation and guide care around the time of an ablation procedure. It may help refine how doctors treat certain AF patients based on their heart patterns.
Stanford, CaliforniaAges 22–80 - NCT06017505Enrolling by invitation
Using eSAGE for early detection of cognitive decline
This study uses a simple computer-based self-assessment (eSAGE) to detect early signs of memory or thinking problems. It may help identify cognitive impairment sooner and track changes over time.
Columbus, OhioAges 50 years+ - NCT05942859Enrolling by invitation
AI study using heart ECGs to spot pulmonary hypertension
This study looks at patterns on a 12-lead ECG (a common heart tracing) to help diagnose pulmonary hypertension, using results from a right heart catheter test. It may help doctors use ECGs better in the future, without changing your current care.
BathAges 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 - 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+ - NCT05736302Recruiting
Check an activity-tracking algorithm against a body-weight test
This trial checks whether a new computer algorithm that uses an accelerometer (movement sensor) can accurately estimate your body’s activity and energy use. It compares the phone/wearable movement data to results from a special way of measuring how your body uses energy.
Milwaukee, WisconsinAges 18 years+ - NCT05739331Recruiting
AI-assisted breathing test to check swollen chest lymph nodes
This trial uses an AI-supported breathing procedure to help doctors examine enlarged lymph nodes in the chest when the cause is still unknown. It may help improve how accurately and efficiently doctors assess these lymph nodes so you can get answers sooner.
LevangerAges 18 years+ - NCT05579496Recruiting
Rebooting infant pain care using skin-to-skin contact
This trial tests how skin-to-skin contact affects pain and brain activity in premature babies during a routine heel prick. It may help find better ways to manage pain for infants in the NICU.
Toronto, OntarioAges 6 months–8 months - NCT05567640Recruiting
Smart digital mental health support
This study tests a digital mental health program that uses smart technology to personalize your experience and keep you engaged. If you join, you may get a more tailored approach to improving your mental well-being.
Boston, MassachusettsAges 18 years+ - NCT05474274Enrolling by invitation
Home pain app that teaches treatment after outpatient plastic surgery
This trial tests a home-based “pain coaching” system (using a phone app and a TENS device) to help people manage pain after lower-risk outpatient plastic surgery. It may help you feel more in control of pain at home using guided exercises and device-based pain relief.
Jacksonville, FloridaAges 18 years+ - NCT04193475Recruiting
Uses computer learning to improve stress heart ultrasound
This study uses computer technology (“machine learning”) with stress echocardiogram images (a heart ultrasound done during stress) to improve how heart function is measured. If you are able to have a stress echocardiogram, you may be able to help test a better way to interpret the results.
CottinghamAges 20–89 - NCT07532538Recruiting
Machine learning tool to predict head and neck cancer risk
This study tests a computer program designed to help doctors predict which head and neck lesions (abnormal tissue growths) might be cancerous. Researchers will use your medical information and throat imaging to teach the program, which could help catch cancer earlier.
Nanjing, JiangsuAges 18–100 - NCT07396636Recruiting
Using machine learning to manage low blood pressure during surgery
This study tests whether an AI tool can help doctors better manage low blood pressure during planned surgeries. If you are having an elective surgery with general anesthesia and need an arterial line for monitoring, this trial may be for you.
Konya, Konya/MeramAges 18 years+ - NCT07278232Recruiting
Voice test to predict difficult breathing tube placement
This study uses a simple voice recording to see if your voice can help predict whether placing a breathing tube during surgery might be more difficult. It aims to make anesthesia safer for you.
ShanghaiAges 15–70 - NCT05652361Recruiting
AI guidance system for robotic rectal cancer surgery
This trial tests a machine-learning (AI) system that may help guide surgeons during robotic rectal cancer operations. It’s meant to support safer, more accurate surgery while comparing outcomes to standard surgical guidance.
Dresden, SaxonyAges 18 years+ - NCT07823608RecruitingPhase 3
Monthly study medicine for adults with sleep apnea and overweight who use a breathing machine
This study tests an investigational medicine taken once a month for adults with moderate to severe sleep apnea who are overweight or have obesity and use a CPAP or similar breathing machine. It aims to see if the medicine improves sleep-related breathing.
Cullman, AlabamaAges 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.