Clinical trials: Intelligence
Pulmonary Function Assessment, Disease Free Survival
Pulmonary Watershed Topographic Map Navigation for Lung Nodule Resection
A method of ICG counterstaining localization under target artery occlusion without cutting，It's a new method of localization of small pulmonary nodules.
- Conditions
- Pulmonary Function Assessment, Disease Free Survival, NSCLC, Stage I
- Trial name
- NCT06404164
- Testing
- Wedge resection under watershed analysis method
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Speech Sound Disorder
Evaluating the Effectiveness of Hybrid and Traditional Speech Therapy for /ɹ/ and /s/ Sound Production
The purpose of this research study is to evaluate the effectiveness of a hybrid Artificial Intelligence-assisted speech therapy model, which combines the use of an AI speech therapist (Jessica) with traditional speech therapy…
- Trial name
- GENESIS (NCT07061730)
- Testing
- Traditional Therapy, Hybrid therapy
- Where
- United States
- Volunteers
- 23 people
- Sponsor
- Syracuse University
Subarachnoid Hemorrhage, Aneurysmal
Artificial Intelligence in Subarachnoid Hemorrhage
The overall aim of this study is to, with the help of computer/data scientist and machine learning processes, analyse collected heart rate variability data in order to evaluate whether specific patterns could be found in patients…
- Trial name
- AISAH (NCT04415736)
- Testing
- No intervention, observational study
- Where
- Sweden
- Volunteers
- 64 people
- Sponsor
- Göteborg University
Normal Labor
Generative AI-Powered Intrapartum Clinical Decision Support Among Healthcare Providers
Pregnancy and childbirth are uniquely important events in women's lives because they are accompanied by major physical, emotional, and psychological changes.
- Trial name
- Smart labor (NCT07720531)
- Testing
- The intervention group
- Where
- Egypt
- Volunteers
- 427 people, healthy volunteers welcome
- Sponsor
- Delta University for Science and Technology
Child Development
The MOM Program at the Children's Hospital of Philadelphia
The purpose of the MOM Program is to promote child development by helping families become more competent in accessing and using available resources.
- Trial name
- NCT00230555
- Testing
- professional support model
- Where
- United States
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Children's Hospital of Philadelphia
Smoking Cessation
Optimizing Chatbot Reminder Timing in a Chatbot Cessation Service: A Micro-Randomized Trial
The goal of this study is to learn whether the timing of weekly chatbot reminders affects user engagement with the chatbot cessation service.
- Trial name
- NCT07826884
- Testing
- Chatbot Cessation Service With Randomized Reminder Timing
- Where
- Hong Kong
- Volunteers
- 350 people
- Sponsor
- The University of Hong Kong
Emotional Intelligence
Effects of an Educational Intervention on Emotional Intelligence in School Students
Objectives: Evaluate the effect on emotional intelligence levels of an educational intervention. Design: Randomized Clinical Trial Methods: An intervention on emotional intelligence was conducted in a Primary School.
- Trial name
- EMCONMIGO (NCT03767647)
- Testing
- Emotional Intelligence lessons
- Where
- Spain
- Volunteers
- 179 people, healthy volunteers welcome
- Sponsor
- Hospital Severo Ochoa
Kawasaki Disease, Chest X-ray for Clinical Evaluation
Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease
The goal of this observational study is to develop an AI-based early warning system for Kawasaki Disease (KD) using chest X-rays (CXR) in children diagnosed with Kawasaki Disease. The main question[s] it aims to answer are: 1.
- Conditions
- Kawasaki Disease, Chest X-ray for Clinical Evaluation, Mucocutaneous Lymph Node Syndrome
- Trial name
- NCT07405658
- Testing
- AI-Based Early Warning System for Kawasaki Disease
- Where
- China
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Dementia
AI4HOPE Pilot Study 2 Digital Dementia Care Planning
This pilot study will test a digital care planning decision support system for patients with dementia.
- Trial name
- AI4HOPE2 (NCT06292143)
- Testing
- Advance Care Planning Toolkit
- Volunteers
- 150 people
- Sponsor
- University of Bonn
Neurodevelopmental Disorders, Attention Deficit Hyperactivity Disorder
Validity of Neurocognitive Assessment Methods in Childhood ADHD
The aim of the study is to examine the prospective validity of neurocognitive functions and emotional factors in schoolchildren with ADHD and a control group of typically developing schoolchildren at baseline and after three…
- Trial name
- NCT04201509
- Where
- Sweden
- Volunteers
- 196 people, healthy volunteers welcome
- Sponsor
- Region Skane
Cardiac Anomalies
Prospective Evaluation of Cardiac Point-of-Care Ultrasound (POCUS) Performed by PEM Fellows and Artificial Intelligence on Children With Pre-existing Cardiac Conditions.
The goal of this study is to prospectively assess the diagnostic agreement of PEM fellow-performed cardiac POCUS and of AI-assisted interpretation using the Exo Iris probe, as compared to a complete echocardiography for detecting…
- Trial name
- POCUS-AI PEM (NCT07503158)
- Testing
- AI Pocus_Cardiac
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- Nicklaus Children's Hospital f/k/a Miami Children's Hospital
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
Out-Of-Hospital Cardiac Arrest, Trauma
AI to Improve Outcome From Traumatic Cardiac Arrest
This study evaluates data from patients in The Danish Medical Service electronical registry over a 6-year period from 2016 to 2021 with traumatic cardiac arrest.
- Trial name
- NCT05294575
- Where
- Denmark
- Volunteers
- 31,200 people
- Sponsor
- Prehospital Center, Region Zealand
Acne, Acne Vulgaris
Clinical Workflow Optimization Using Artificial Intelligence for Dermatological Conditions
Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field.
- Conditions
- Acne, Acne Vulgaris, Alopecia, Androgenetic, Pigmented Lesions
- Trial name
- IDEI_2023 (NCT06263413)
- Where
- Spain
- Volunteers
- 150 people
- Sponsor
- AI Labs Group S.L
Dyspnea
Artificial Intelligence to Improve Physicians' Interpretation of Chest X-Rays in Breathless Patients
Identifying the cause of breathlessness in acute patients in the emergency department is critical and challenging. The chest X-ray is central but challenging to read for non-radiologist physicians.
- Trial name
- XRAI (NCT05117320)
- Testing
- AI support
- Where
- Denmark
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Bispebjerg Hospital
Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy
Neonatal Neurological Observation With Video AI
NeoNOVA is a multi-site, prospective, single-arm, silent observational study to determine: among (Population) infants admitted to newborn services during their inpatient hospital stay, whether (Intervention) continuous bedside…
- Conditions
- Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy, Sedation, Sleep
- Trial name
- NeoNOVA (NCT07628829)
- Testing
- Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring
- Where
- 2 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Artemis AI Labs
Spinal Epidural Hematoma
Establishment of Clinical Prediction Model for Postoperative Symptomatic Spinal Epidural Hematoma
The goal of this observational study is to establish a clinical prediction model based on artificial intelligence algorithms for patients with postoperative symptomatic spinal epidural hematoma(PSSEH) after spinal surgery.
- Trial name
- NCT06633848
- Testing
- spinal surgery
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Peking University Third Hospital
Fractures, Bone
Assessment of the Contribution of an Artificial Intelligence Tool to Help the Diagnosis of Limb Fractures in Pediatric Emergencies
Limb fracture is a common pathology in children. It represents the first complaint in traumatology among children in developed countries.
- Trial name
- FRACPED (NCT05187585)
- Testing
- radiograph interpretation without the support of the RAYVOLVE app, radiograph interpretation with the support of the RAYVOLVE app
- Where
- France
- Volunteers
- 1,200 people
- Sponsor
- Fondation Lenval
Risk Assessment, Risk Factors
Establishment, Verification and Clinical Application of Chinese Version of Surgical Risk Assessment System
The goal of this observational study is to establish and verify the Chinese version of surgical risk assessment system and explore its clinical application.
- Conditions
- Risk Assessment, Risk Factors, Machine Learning, Artificial Intelligence
- Trial name
- CSRAS (NCT05754268)
- Testing
- Chinese version of the surgical risk assessment system
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- luyun
Renal Insufficiency, Chronic, Arteriovenous Fistula
Artificial Intelligence-based Prediction of Radio-cephalic Arteriovenous Fistula Maturation Using Preoperative Duplex Examination
The goal of this observational study is to assess the efficacy of AI-driven models in analyzing comprehensive ultrasonographic variables across multiple forearm locations to predict successful AVF maturation.
- Conditions
- Renal Insufficiency, Chronic, Arteriovenous Fistula, Artificial Intelligence (AI), Machine Learning
- Trial name
- NCT06600750
- Testing
- Arteriovenous fistula
- Where
- South Korea
- Volunteers
- 494 people
- Sponsor
- Seoul National University Hospital