Clinical trials: Artificial Intelligence (AI)
Atrial Fibrillation Paroxysmal
Prospective Validation Study of AI-based Prediction Algorithm for the Prediction of Paroxysmal Atrial Fibrillation
The purpose of this study is to predict the occurrence of paroxysmal atrial fibrillation by finding high-risk group from normal sinus rhythm ECG through artificial intelligence-based prediction algorithm.
- Trial name
- PROVISION-AF (NCT05725187)
- Testing
- MobiCare
- Where
- 11 sites in South Korea
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Ewha Womans University Mokdong Hospital
type1diabetes, Pediatrics
AI for Glycemic Events Detection Via ECG in a Pediatric Population
Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control and incorrect Insulin administration.
- Trial name
- NCT05278143
- Where
- Italy
- Volunteers
- 64 people
- Sponsor
- Bambino Gesù Hospital and Research Institute
Anxiety, Fear Anxiety
Effect of AI(Artificial Intelligence)-Based Storytelling Video on Anxiety and Fear During Skin Prick Test in Children
This study evaluates the effectiveness of an AI-generated therapeutic storytelling video on pre-procedural anxiety and fear levels in children aged 4 to 10 years undergoing their first Skin Prick Test (SPT).
- Conditions
- Anxiety, Fear Anxiety, Allergic Rhinitis, Asthma (Diagnosis)
- Trial name
- NCT07453615
- Testing
- AI-Generated Storytelling Video, Standard Clinic Care
- Where
- Turkey (Türkiye)
- Volunteers
- 102 people
- Sponsor
- Antalya Training and Research Hospital
Artificial Intelligence, Healthcare Professionals
AI Readiness in Orthotics-Prosthetics
The aim of this study is to analyze, using a mixed-methods approach, the attitudes, perceptions, levels of technology acceptance, and competencies in the use of generative artificial intelligence among healthcare professionals…
- Conditions
- Artificial Intelligence, Healthcare Professionals, Orthotics and Prosthetics, Attitude
- Trial name
- NCT07547293
- Where
- Turkey (Türkiye)
- Volunteers
- 176 people, healthy volunteers welcome
- Sponsor
- gizem boztas
AI (Artificial Intelligence), Osteoporosis
Evaluation of Dora Care for Supporting Fracture Liaison Services (FLS)
What is the study about? This study is testing "Dora", an AI-powered assistant that can make phone calls to patients, for use in the Fracture Liaison Service (FLS).
- Conditions
- AI (Artificial Intelligence), Osteoporosis, Outpatient, Telemedicine
- Trial name
- NCT07464171
- Testing
- Dora call
- Volunteers
- 217 people
- Sponsor
- Ufonia
High-Risk Multidisciplinary Care, Clinical Decision Support
ANCHOR Validation Trial in High-Risk Multidisciplinary Care
This pre-registered, pragmatic, three-arm (1:1:1) patient-level randomized controlled trial with mixed-effects analysis at the encounter level tests two questions in real high-risk multidisciplinary clinical encounters at the…
- Conditions
- High-Risk Multidisciplinary Care, Clinical Decision Support, Artificial Intelligence-Assisted Care, Telemedicine
- Trial name
- NCT07597499
- Testing
- Gemini 3.1 Pro with Safety Prompt, ANCHOR Clinical AI Verification Layer (with Gemini 3.1 Pro)
- Where
- United States
- Volunteers
- 240 people
- Sponsor
- Waymark
Retinal Disease
AI-Assisted Interpretation of Ultra-Widefield Retinal Images
The goal of this prospective observational study is to evaluate the impact of artificial intelligence (AI) assistance on clinician interpretation of ultra-widefield (UWF) retinal images.
- Trial name
- NCT07651943
- Testing
- AI-Assisted Interpretation, Unaided Interpretation
- Where
- 5 sites in China
- Volunteers
- 462 people, healthy volunteers welcome
- Sponsor
- Xiamen Ophthalmology Center Affiliated to Xiamen University
OMI - Occlusion Myocardial Infarction, Artificial Intelligence (AI)
The Impact of Artificial Intelligence Electrocardiography on Occlusion Myocardial Infarction Management Under the Value-Based Payment System
This trial will prospectively evaluate the impact of integrating AI-ECG within the pay-for-performance program on improving the diagnosis, treatment, and clinical outcomes of occlusion myocardial infarction patients by promoting…
- Conditions
- OMI - Occlusion Myocardial Infarction, Artificial Intelligence (AI), Electrocardiogram, Cost-effectiveness Analysis
- Trial name
- NCT06887699
- Testing
- AI-ECG P4P program
- Where
- 3 sites in Taiwan
- Volunteers
- 212,000 people
- Sponsor
- National Defense Medical Center, Taiwan
Heart Failure
Explainable AI for Predicting Hospital Admissions in Heart Failure: ExplAIn-HF
The goal of this observational study is to develop and validate an XAI based model that predicts HF events and identifies modifiable con-tributing factors, and to evaluate the added value of integrating high frequency smartwatch…
- Trial name
- ExplAIn-HF (NCT07689760)
- Where
- Netherlands
- Volunteers
- 95 people
- Sponsor
- Medisch Spectrum Twente
Preterm Birth, Artificial Intelligence (AI) in Diagnosis
The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice
This study prospectively evaluates whether the performance of an already-developed artificial intelligence (AI) model for predicting spontaneous preterm birth changes when cervical ultrasound images are obtained using different…
- Trial name
- NCT07598097
- Testing
- Cervical ultrasound image acquisition
- Where
- Denmark
- Volunteers
- 2,000 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Hyperparathyroidism
NUclear MEdicine DIagnostic and Artificial Intelligence
Artificial intelligence algorithms for parathyroid adenoma detection in parathyroid scans The aim of the study is to develop programs for the automatic subtraction of planar and tomographic parathyroid images and for the…
- Trial name
- NUMEDIA (NCT05963841)
- Testing
- treatment program
- Where
- France
- Volunteers
- 1 people
- Sponsor
- Centre Hospitalier Universitaire de Besancon
Motor Disorders
A Preliminary Study on Artificial Intelligence for Infant Motor Screening
The purpose of this preliminary study is to apply AI technology on a sample of infants aged 4 to 18 months to develop an action tracking and recognition algorithm for infant motor screening and to determine the accuracy of the…
- Trial name
- NCT04684173
- Where
- Taiwan
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Artificial Intelligence (AI), Visual Case Analysis
The Effect of Artificial Intelligence-assisted Visual Case Analysis on Nursing Students' Knowledge and Attitudes Towards Pressure Injury Prevention: A Single-blind Randomized Controlled Trial
The goal of this clinical trial is to examine the effect of artificial intelligence-assisted visual case analysis on nursing students' knowledge and attitudes towards pressure injury prevention.
- Conditions
- Artificial Intelligence (AI), Visual Case Analysis, Nursing Students, Pressure Injury Prevention
- Trial name
- NCT06978283
- Testing
- AI-assisted case analysis, Traditional case analysis
- Where
- Turkey (Türkiye)
- Volunteers
- 84 people, healthy volunteers welcome
- Sponsor
- Çankırı Karatekin University
Oncologic Surgery, Gastrointestinal Cancers
Clinical Evaluation of AI Decision Support for Early Rehabilitation After Surgery
After gastrointestinal or oncology surgery, it can be difficult to determine when a patient is ready to safely begin early rehabilitation or move toward discharge.
- Trial name
- DESIRE (NCT07406269)
- Testing
- DESIRE: AI-Based Clinical Decision Support for Postoperative Rehabilitation Planning
- Where
- Netherlands
- Volunteers
- 103 people
- Sponsor
- Erasmus Medical Center
Depression - Major Depressive Disorder, Anxiety Disorders
AI-Guided CBT for Depression and Anxiety
This study aims to evaluate the effectiveness of an artificial intelligence (AI)-guided cognitive behavioral therapy (CBT) program for the treatment of mild depression and anxiety disorders in adults.
- Trial name
- AI-CBT-DA (NCT07576686)
- Testing
- AI-Guided Cognitive Behavioral Therapy, Cognitive Behavioral Therapy (CBT)
- Where
- Serbia
- Volunteers
- 120 people
- Sponsor
- Aleksandra Stojanovic
Communication
DHL Survey on Generative AI for MyChart Messaging
The purpose of this study is to understand how patients feel about the use of computer programs to create responses when they send electronic messages to their doctors.
- Trial name
- NCT06108037
- Testing
- Generative AI for electronic communication and disclosure
- Where
- United States
- Volunteers
- 1,454 people, healthy volunteers welcome
- Sponsor
- Duke University
Surgery
AI-driven Clinical Decision Support for Perioperative Blood Orders
20 million patients have surgery in the United States every year, with approximately 1 million of those patients requiring life-saving blood transfusion.
- Trial name
- SPATH (NCT07223853)
- Testing
- S-PATH clinical decision support system, Usual care
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Washington University School of Medicine
Basal Cell Carcinoma of Skin
AI-enhanced OCT Imaging for Pre-surgical Margin Detection of Basal Cell Carcinoma
Basal cell carcinomas (BCCs) are the most common human malignancy, affecting about 2 million Americans each year. Mohs micrographic surgery (MMS) removes tissue by sequential excision.
- Trial name
- NCT07358637
- Testing
- AI-OCT
- Volunteers
- 30 people
- Sponsor
- Henry Ford Health System
Hip Fractures, Frailty
AI-Supported Physiotherapy After Hip Fracture in Frail Older Adults
Purpose Hip fractures in older adults often cause a serious loss of strength and independence. Physical therapy helps people recover, but patients do not always exercise consistently or correctly.
- Trial name
- Fisio-ACTIVA (NCT07857707)
- Testing
- Conventional hospital physiotherapy, Automated motivational support and movement-capture system
- Where
- Spain
- Volunteers
- 48 people
- Sponsor
- Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal