Clinical trials: Intelligence, active
Atrial Fibrillation, Insulin Resistance
Insulin Resistance as a Predictor of Pulsed Field Ablation Success in Atrial Fibrillation (HOMA-PULSE)
This study investigates whether insulin resistance, a metabolic condition where the body's cells respond poorly to insulin, can predict the success of atrial fibrillation (AF) ablation using pulsed field ablation (PFA)…
- Conditions
- Atrial Fibrillation, Insulin Resistance, Catheter Ablation, Artificial Intelligence
- Trial name
- HOMA-PULSE (NCT07551947)
- Where
- Czechia
- Volunteers
- 120 people
- Sponsor
- Nemocnice AGEL Trinec-Podlesi a.s.
Nasopharyngeal Neoplasms, Laryngeal Disease
AI System for Anatomic Recognition & Lesion Detection in Nasopharyngolaryngoscopy: A Prospective Study
An artificial intelligence-assisted system is trained and validated by collecting nasopharyngolaryngoscopy images from patients.
- Trial name
- NCT07326358
- Testing
- Diagnostic
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Ruijin Hospital
Artificial Intelligence in Education, Nursing Education
The Effect of an Artificial Intelligence-Based Branching Path Simulation for First Aid Education on Nursing Students' Knowledge, Satisfaction, and Motivation
Background: Rapid advancements in educational technology are necessitating a renewal of teaching approaches in nursing education.
- Trial name
- NCT07761221
- Testing
- Artificial Intelligence-Based Branching Path Simulation for First Aid Education
- Where
- Turkey (Türkiye)
- Volunteers
- 164 people, healthy volunteers welcome
- Sponsor
- TC Erciyes University
Pancancer
Prospective Real-World Study of Multimodal AI
This project proposes to collect prospective multimodal data-such as pathology, imaging, and clinical information-and to perform integrative analyses.
- Trial name
- NCT07269236
- Where
- 2 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Nanfang Hospital, Southern Medical University
Well-Being, Lifestyle, Healthy
An Exploratory Feasibility Study
This study explores the feasibility of ContextWell, a well-being education programme that combines an online webinar with an AI-powered behavioural nudging system.
- Conditions
- Well-Being, Lifestyle, Healthy, Young Adult, Behavior and Behavior Mechanisms
- Trial name
- Contextwell (NCT07009964)
- Testing
- ContextWell Educational Programme
- Where
- Ireland
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- University College Dublin
Indeterminate Pulmonary Nodules, Lung Metastases
AI & Radiomics for Stratification of Lung Nodules After Radically Treated Cancer
This study will assess the utility of radiomics and artificial intelligence approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer.
- Conditions
- Indeterminate Pulmonary Nodules, Lung Metastases, Second Primary Cancer, Lung Cancer
- Trial name
- AI-SONAR (NCT05375591)
- Testing
- Non-Interventional Study
- Where
- 2 sites in United Kingdom
- Volunteers
- 1,000 people
- Sponsor
- Royal Marsden NHS Foundation Trust
Artificial Intelligence, Surveillance
Effect of the Automatic Surveillance System on Surveillance Rate of Colorectal Postpolypectomy Patients
In this study, we proposed a prospective study about the effect of the automatic surveillance system on surveillance rate of colorectal postpolypectomy patients.
- Trial name
- NCT05894850
- Testing
- AI based automatic surveillance (AS) system (ENDOANGEL-AS) reminds the patients through by telephone ., AI based automatic surveillance (AS) system (ENDOANGEL-AS) reminds the patients through message., Manually remind the patients
- Where
- China
- Volunteers
- 1,644 people
- Sponsor
- Renmin Hospital of Wuhan University
Breast Neoplasms Diagnosis, Brest Cancer
Wide-Angle Tomosynthesis and AI in Diagnostic Mammography
Breast cancer remains the most commonly diagnosed cancer and a leading cause of cancer-related mortality among women globally. Timely and accurate detection is crucial for improving prognosis and survival outcomes.
- Trial name
- NCT07491055
- Volunteers
- 1,400 people
- Sponsor
- Jean Seely
Intracranial Aneurysm
Clinical Performance Evaluation of RDX-Aneurysm for Detecting Intracranial Aneurysms on TOF-MRA
This retrospective, multi-center, observational case-control study evaluates the standalone performance of RDX-Aneurysm, a computer-assisted detection software, for detecting and marking suspected saccular intracranial aneurysm…
- Trial name
- RDX-Aneurysm (NCT07655635)
- Where
- 3 sites in Taiwan
- Volunteers
- 550 people, healthy volunteers welcome
- Sponsor
- Taipei Medical University Shuang Ho Hospital
Helicobacter Pylori Infection, Premalignant Lesion
Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion
The aim of this study is to evaluate the impact of artificial intelligence (AI) assistance during routine upper endoscopy on gastric cancer-specific mortality.
- Trial name
- NCT05762991
- Testing
- Routine endoscopy with artificial intelligence-assisted interpretation
- Where
- Taiwan
- Volunteers
- 6,000 people
- Sponsor
- National Taiwan University Hospital
Gastric Cancer, Prehabilitation
Home-based Whole Course Multimodal Prehabilitation Based on 5G + Artificial Intelligence Mobile Health
The whole course management of gastric caner patients receiving neoadjuvant therapy frequently hinders by challenges such as inaccurate exercise plans, inadequate nutritional supplementary, limited access to timely psychological…
- Trial name
- mHealth prehab (NCT07764523)
- Testing
- mHealth prehabilitation group, ERAS group
- Where
- China
- Volunteers
- 328 people
- Sponsor
- The Affiliated Hospital of Qingdao University
Alzheimer Disease, Dementia
Novel Neuroradiological Workflow for the Assisted DIAgnosis and Management of DEMentia with Artificial Intelligence
Identifying, screening and monitoring individuals at risk of Alzheimer's disease (AD) and dementia is a formidable challenge. Neuroimaging, and in particular magnetic resonance imaging (MRI), is crucial to detect structural…
- Trial name
- DIADEMA (NCT06877182)
- Testing
- Magnetic Resonance Imaging with Contrast
- Where
- Italy
- Volunteers
- 80,000 people
- Sponsor
- IRCCS SYNLAB SDN
Scoliosis Idiopathic Adolescent, Scoliosis
Deep Learning for Early Scoliosis Detection Using mmWave Radar Gait Data
Scoliosis is a sideways curvature of the spine that often develops during childhood and adolescence. When detected early, scoliosis can be managed effectively with non-invasive approaches such as bracing and physiotherapy, while…
- Trial name
- ScoliRadar-AI (NCT07593560)
- Testing
- mmWave Radar Gait Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Gebze Technical University
Gum Disease, Diabetes
Effectiveness of Personalized Oral Hygiene Advice Delivered by Artificial Intelligence or Dental Professionals Versus Standard Oral Hygiene Advice on Oral and Systemic Health in Community-based Type II Diabetes Patients
Diabetes is a systemic condition characterized by elevated blood glucose levels and is associated with multiple long-term complications.
- Trial name
- NCT07841717
- Testing
- AI OHI group, Human-OHI group, Control group
- Volunteers
- 105 people
- Sponsor
- The University of Hong Kong
Knee Osteoarthristis, Hip Osteoarthritis
Clinical Validation of SMARTDIAGO for Remote Functional Assessment of Musculoskeletal Conditions
Clinical validation of SMARTDIAGO, an artificial intelligence-based system for remote functional assessment of patients with musculoskeletal disorders and functional frailty.
- Conditions
- Knee Osteoarthristis, Hip Osteoarthritis, Spine Disease, Shoulder Disease
- Trial name
- SMARTDIAGO (NCT07880210)
- Testing
- SMARTDIAGO Remote Functional Assessment
- Where
- 2 sites in Chile
- Volunteers
- 350 people
- Sponsor
- University of Chile
Arterial Hypertension
Echocardiographic Analysis by Artificial Intelligence in Hypertension
The objective of this study is to develop artificial intelligence (AI) tools to characterize cardiac remodelling in arterial hypertension through the analysis of routine imaging data (echocardiography) coupled with patient data.
- Trial name
- CARDINAL (NCT06680986)
- Testing
- Clinical cardiac parameters (Arterial pressure, number of anti-hypertensive medications, and the NT-proBNP measurements)
- Where
- France
- Volunteers
- 200 people
- Sponsor
- Hospices Civils de Lyon
Cost Analysis, Length of ICU Stay
An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.
The study aims to overview patients registered to Bezmialem Vakıf University Hospital Intensive Care Unit after successive cardiac arrest resuscitation from October 2010 to September 2025.
- Conditions
- Cost Analysis, Length of ICU Stay, Neurological Outcome
- Trial name
- NCT07210866
- Testing
- no physical or medical interventions
- Volunteers
- 5,000 people
- Sponsor
- Bezmialem Vakif University
Heart Valve Disease, TAVI
Enhanced Valves Interventions and Safe AI Generated End Results
This non-interventional study aims to use artificial intelligence to improve the prediction of transcatheter heart valve interventions and optimize patient outcomes.
- Conditions
- Heart Valve Disease, TAVI, M-TEER, TTVI
- Trial name
- ENVISAGE (NCT07213531)
- Testing
- Medical imaging analysis via artificial intelligence algorithms
- Where
- 15 sites in United States, Canada and 3 more
- Volunteers
- 21,000 people
- Sponsor
- Montreal Heart Institute
Obstructive Sleep Apnea of Adult, Screening
Smartwatch-Based AI Model for OSA Prediction (SWOSA)
This study aims to develop an artificial intelligence (AI) model for more accurately diagnosing obstructive sleep apnea (OSA) by collecting blood oxygen saturation and other health information during sleep using a smartwatch.
- Conditions
- Obstructive Sleep Apnea of Adult, Screening, Smart Watch
- Trial name
- NCT06792188
- Testing
- Galaxy Watch 4, Samsung Electronics Co., Ltd., South Korea
- Where
- South Korea
- Volunteers
- 147 people
- Sponsor
- Seoul National University Hospital
Colorectal Adenoma
Correlation Between Artificial Intelligence-Based Fecal Coverage Area-Quantified Bowel Preparation Quality Score (FQ-BBPS) and Adenoma Detection Rate
A single-center prospective observational study evaluates the correlation between an AI-based bowel preparation quality score (FQ-BBPS[25%]), which quantifies fecal coverage area during colonoscopy withdrawal, and the adenoma…
- Trial name
- NCT07795788
- Where
- China
- Volunteers
- 560 people
- Sponsor
- Fudan University
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