Clinical trials: Artificial Intelligence in Medicine
Aneurysms, Arteriovenous Malformations
Neurosurgical Outcome Network
The evaluation of neurosurgical outcomes varies from center to center, and the predictive factors that determine these outcomes are not fully known or shared.
- Conditions
- Aneurysms, Arteriovenous Malformations, Cavernomas, Skull Base Tumors
- Trial name
- NEON (NCT06724029)
- Where
- 27 sites in Italy
- Volunteers
- 4,500 people
- Sponsor
- Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
Rheumatoid Arthritis (RA, Chronic Pain
Integrative AI-Based Multiomic and Neurophysiological Profiling of Chronic Pain in Rheumatoid Arthritis
Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease in which pain remains the most prominent and burdensome symptom from the patient's perspective.
- Trial name
- RA-PAIN-AI (NCT07769619)
- Where
- Poland
- Volunteers
- 100 people
- Sponsor
- 4th Military Clinical Hospital with Polyclinic, Poland
Type 1 Diabetes Mellitus (T1DM), Diabetes Distress
GlycoQuest: An AI-Adaptive CGM-Integrated Serious Game for Pediatric Type 1 Diabetes
Type 1 diabetes diagnosed in childhood requires rapid acquisition of complex self-management skills while children and caregivers are also adapting emotionally and socially to a chronic condition.
- Conditions
- Type 1 Diabetes Mellitus (T1DM), Diabetes Distress, Hypoglycemia (Diabetic), Family Conflict
- Trial name
- GlycoQuest (NCT07726680)
- Testing
- GlycoQuest Digital Therapeutic, Enhanced Digital Psychoeducation
- Where
- Pakistan
- Volunteers
- 110 people
- Sponsor
- Shifa International Hospital
Machine Intelligence in the Pharmacy
Preventing Medication Dispensing Errors in Pharmacy Practice with Interpretable Machine Intelligence: Wave 2
Pharmacists currently perform an independent double-check to identify drug-selection errors before they can reach the patient. However, the use of machine intelligence (MI) to support this cognitive decision-making work by…
- Trial name
- NCT06795477
- Testing
- No MI Help, Interpretable MI, Uninterpretable MI
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- Corey Lester
Digital Health Intervention, Remote Consultation, Teleconsultation
Evaluation and Implementation of Digital Health Ecosystem in Academic Health Center
Mobile health technologies, such as smartwatches, wearable sensors, and digital applications, have the potential to support healthier lifestyles and improve the management of health conditions.
- Conditions
- Digital Health Intervention, Remote Consultation, Teleconsultation, Lifestyle Factors, Stress
- Trial name
- e-IDEA (NCT07831837)
- Testing
- Integrated Digital Health Ecosystem, Usual Primary Care
- Where
- 2 sites in Canada
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Laval University
Kidney Transplant
Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine
The AITX study is an international, multicenter survey exploring how kidney transplant recipients perceive artificial intelligence (AI) in medicine and, specifically, a system that predicts graft loss risk.
- Trial name
- AITX (NCT07600541)
- Where
- 2 sites in France
- Volunteers
- 1,000 people
- Sponsor
- Paris Translational Research Center for Organ Transplantation
Self Medication
Promoting Safe Medication Practices in the Classroom
Self-medication has traditionally been defined as the consumption of medicines, herbs, and home remedies on one's own initiative or on the advice of another person, without consulting a doctor.
- Trial name
- MedConCiencia (NCT07389538)
- Testing
- Educational intervention
- Where
- Spain
- Volunteers
- 202 people
- Sponsor
- Universidad de Granada
Intracranial Hemorrhages, Acute Ischemic Stroke
AI Assisted Reader Evaluation in Acute Computed Tomography (CT) Head Interpretation
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838).
- Conditions
- Intracranial Hemorrhages, Acute Ischemic Stroke, Hydrocephalus, Cerebral Infarction
- Trial name
- AI-REACT (NCT06018545)
- Testing
- Ground truthing, Reading
- Where
- 4 sites in United Kingdom
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Oxford University Hospitals NHS Trust
Substance Use, Substance Abuse
Data-driven Identification for Substance Misuse
The investigators propose to develop an open-source, publicly available machine learning model that health systems could download and apply to their electronic health record data marts to screen for substance misuse in their…
- Conditions
- Substance Use, Substance Abuse, Substance-Related Disorders
- Trial name
- NCT03833804
- Testing
- Processing of clinical notes in the EHR data collected during routine care
- Where
- United States
- Volunteers
- 64,996 people
- Sponsor
- University of Wisconsin, Madison
Medication Adherence
Managing Insulin With a Voice AI
This study randomizes participants to have their basal insulin titrated either through standard of care or by receiving prompts through interactions with an AI-enabled smart speaker device.
- Trial name
- MIVA (NCT05081011)
- Testing
- Voice Assistant Device
- Where
- United States
- Volunteers
- 39 people, healthy volunteers welcome
- Sponsor
- Stanford University
Prediabetes
Continuous Glucose Monitoring (CGM) in Prediabetes With Community Based Recruitment
The objective of this project is to develop a behavioral intervention that combines wearable continuous glucose monitoring (CGM) with smartphone feedback and educational video clips generated by artificial intelligence (AI)…
- Trial name
- G3 (NCT07477249)
- Testing
- CGM
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- David S Black, PhD
Emergency Medicine, AI (Artificial Intelligence)
AI-support in Emergency Medicine
The purpose of this study is to investigate whether the use of generative artificial intelligence (AI) as a support tool can improve physicians' ability to establish accurate differential diagnoses in emergency care.
- Conditions
- Emergency Medicine, AI (Artificial Intelligence), Differential Diagnosis
- Trial name
- NCT07766863
- Where
- Sweden
- Volunteers
- 500 people
- Sponsor
- Region Stockholm
Acute Appendicitis
TACTILE : Validation of a Teleconsultation-Based Predictive Score for the Diagnosis of Acute Appendicitis in Children Using Artificial Intelligence Methods
Acute appendicitis is the most common abdominal surgical emergency in children and a frequent cause of pediatric emergency department visits.
- Trial name
- TACTILE (NCT07479849)
- Testing
- Score-based appendicitis risk classification in teleconsultation
- Where
- France
- Volunteers
- 1,500 people
- Sponsor
- University Hospital, Angers
Disorders of Consciousness, Vegetative State
AI-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback for Patients With Disorders of Consciousness
Disorders of consciousness (DoC) are severe neurological conditions characterized by impaired awareness and reduced interaction with the environment.
- Conditions
- Disorders of Consciousness, Vegetative State, Minimally Conscious State
- Trial name
- AI-HBOT-DoC (NCT07855848)
- Testing
- AI-Assisted Personalized Hyperbaric Oxygen Therapy, Conventional Hyperbaric Oxygen Therapy
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Myelodysplastic Syndromes
Unified platforM for a Better integRal Evaluation of MyeLodyspLastic Syndromes in SpAin-Strategy for Unraveling Personalized genoMic Medicine in Public heAlth System (UMBRELLA-SUMMA)
Myelodysplastic Syndromes (MDS) are heterogeneous clonal diseases characterized by difficult diagnosis, complex prognostic stratification and unsatisfactory treatment.
- Trial name
- UMBRELLA-SUMMA (NCT06379945)
- Where
- 4 sites in Spain
- Volunteers
- 300 people
- Sponsor
- Instituto de Investigación Biomédica de Salamanca
Hypertansion
Generative AI-Supported Personalized Education Compared With Printed Material for Adults With Hypertension
This study evaluates whether generative artificial intelligence-supported personalized education can improve hypertension knowledge and medication adherence in adults with hypertension compared with standard printed educational…
- Trial name
- GenAI-HYPER (NCT07776834)
- Testing
- Standard Hypertension Education, Generative AI-Supported Personalized Hypertension Education
- Where
- Turkey (Türkiye)
- Volunteers
- 88 people
- Sponsor
- Akdeniz University
Rheumatoid Diseases
Clinnova-RD: A Prospective Cohort Study of Patients With Rheumatoid Diseases
This study is part of the Clinnova program. This is a prospective cohort study including patients with RD recruited at the time of a treatment change.
- Trial name
- Clinnova-RD (NCT06235684)
- Testing
- Either newly diagnosed with a RD requiring initiation of therapy OR treatment change at the time of inclusion
- Volunteers
- 100 people
- Sponsor
- Luxembourg Institute of Health
Endometriosis, Adenomyosis of Uterus
Artificial Intelligence Into Ultrasound Diagnostics in Reproductive Medicine
The goal of this observational study is to develop and validate artificial intelligence (AI)-based algorithms that support ultrasound diagnosis of endometriosis, adenomyosis, myometrial masses, uterine malformations, and impaired…
- Conditions
- Endometriosis, Adenomyosis of Uterus, Leiomyoma (Uterine Fibroids), Uterine Neoplasms
- Trial name
- AUDRIE (NCT07810920)
- Where
- Hungary
- Volunteers
- 1,600 people
- Sponsor
- Semmelweis University
Emergency Medicine
International Big Data Centre in Emergency Medicine
This observational study aims to use electronic health records to build an International Big Data Centre in Emergency Medicine, within the Institute of Sciences in Emergency Medicine (ISEM) at the Guangdong Provincial People's…
- Trial name
- NCT05616416
- Where
- China
- Volunteers
- 500,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Atrial Fibrillation, Heart Failure, Systolic
Machine Learning Enabled Time Series Analysis in Medicine
The goal of this observational cohort study is to investigate the potential of fitness trackers in combination with machine learning algorithms to identify cardiovascular disease specific patterns.
- Trial name
- ME-TIME (NCT05802563)
- Testing
- fitness tracker
- Where
- Netherlands
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- HagaZiekenhuis