Clinical trials: Artificial Intelligence (AI)
AI (Artificial Intelligence), Mammary Cancer
Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
It is planned to integrate various services based on computer vision technologies for analysis of the certain type of x-ray study into Moscow Unified Radiological Information Service (hereinafter referred to as URIS).
- Conditions
- AI (Artificial Intelligence), Mammary Cancer, Lung Cancer, X-Rays; Lesion
- Trial name
- NCT04489992
- Where
- Russia
- Volunteers
- 133,000 people, healthy volunteers welcome
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
Balance Disorders, Rehabilitation
Identify the Most Effective Rehabilitation Method Between a Treatment with a Sensorized Treadmill (Walker View) and a Treatment with Conventional Group Therapy in Balance Disorders and the Use of Artificial Intelligence to Identify Predictive Indices to Prevent Falls and Diagnose Promptly the Risk
Falls in the elderly are one of the main sources of disability and hospitalization, with a significant impact on quality of life and social and healthcare costs.
- Conditions
- Balance Disorders, Rehabilitation, Falls, Falls Prevention
- Trial name
- UAI (NCT06649500)
- Testing
- Treadmill, conventional therapy
- Where
- Italy
- Volunteers
- 108 people
- Sponsor
- Fondazione Policlinico Universitario Campus Bio-Medico
Major Depressive Disorder
Optimize and Predict Antidepressant Efficacy for Patient With MDD Using Multi-omics Analysis and AI-predictive Tool
OPADE is a non-profit, observational, multicenter, open-label study aimed at defining personalized treatment for Major Depressive Disorder (MDD).
- Trial name
- OPADE (NCT06550037)
- Where
- Italy
- Volunteers
- 350 people
- Sponsor
- Alessio Fasano
Nursing Students, Artificial Intelligence (AI)
Exploring Nursing Students' Ability to Create Artificial Intelligence-Enhanced Patient Education Materials on Infection Care
The purpose of this study is to explore the ability of nursing students to create artificial intelligence-supported patient education materials regarding infection care.
- Conditions
- Nursing Students, Artificial Intelligence (AI), Patient Education Materials, Randomized Controlled Trial
- Trial name
- NCT06983236
- Testing
- AI-enabled patient education material, Traditional patient education material
- Volunteers
- 110 people, healthy volunteers welcome
- Sponsor
- Çankırı Karatekin University
Endoscopy, Digestive System
The Impact of Artificial Intelligence (AI) on the Quality of Upper Gastrointestinal (GI) Endoscopy
Oesophageal and gastric cancer are two of the six less survivable cancers, responsible for half of cancer deaths and a quarter of cancer cases.
- Trial name
- NCT05845463
- Testing
- Cerebro endoscopy quality control tool
- Where
- United Kingdom
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Sandwell & West Birmingham Hospitals NHS Trust
Postoperative Complications, Cardiovascular Diseases
Comparing Traditional Risk Scores and an AI-Based Multimodal Model for Predicting Cardiovascular Events After Gastrointestinal Surgery
The goal of this observational study is to develop and evaluate an artificial intelligence (AI)-based multimodal model for predicting major cardiovascular events within 30 days after gastrointestinal surgery in adults at Bach Mai…
- Conditions
- Postoperative Complications, Cardiovascular Diseases, Digestive System Surgical Procedures
- Trial name
- GI-MACE-AI (NCT07539532)
- Where
- Vietnam
- Volunteers
- 5,000 people
- Sponsor
- Bach Mai Hospital
PEEP, Occult
Evaluation of AI Models in Determining the Optimal PEEP
his study is designed as a prospective observational clinical trial. Patients over 18 years old who are hemodynamically stable and require mechanical ventilation in the Intensive Care Unit (ICU) will be included.
- Trial name
- NCT06844916
- Testing
- AI-Assisted PEEP Optimization
- Where
- Turkey (Türkiye)
- Volunteers
- 145 people
- Sponsor
- Kanuni Sultan Suleyman Training and Research Hospital
Lung Nodule
AI-based Low Dose CBCT Reconstruction for Clinical Application
The goal of this clinical trial is to learn if AI-based low dose CBCT reconstructed images can guide lung puncture effectively. The main questions it aims to answer are: 1.
- Trial name
- NCT06831617
- Testing
- AI-based low dose CBCT reconstructed images system, Conventional CBCT images system
- Where
- 3 sites in China
- Volunteers
- 400 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lung Diseases
AI in PRImary Care Spirometry Pathways for Diagnosis of Lung Disease (APRIL)
To investigate the feasibility of performing a future real-world randomised controlled trial to determine the clinical effectiveness of ArtiQ.Spiro in supporting diagnostic performance of primary care staff in the interpretation…
- Trial name
- APRIL (NCT05865249)
- Testing
- Spirometry decision support software (ArtiQ.Spiro)
- Where
- 2 sites in United Kingdom
- Volunteers
- 63 people
- Sponsor
- Royal Brompton & Harefield NHS Foundation Trust
Post-acute COVID-19 Syndrome
SENSING-AI Cohort for Long COVID Patients
The prospective study will focus on the collection of biometric and psychometric data from a limited population for 1 month with the aim of complementing the SENSING-AI retrospective cohort.
- Trial name
- SENSING-AI (NCT05204615)
- Testing
- Collection of clinical, psychometric and biometric data
- Where
- 2 sites in Spain
- Volunteers
- 10 people
- Sponsor
- Adhera Health, Inc.
Cardiovascular-kidney-metabolic Syndrome
AI Chatbot-Enabled ePRO Monitoring and Nurse-Led Self-Management for Early-Stage Cardiovascular-Kidney-Metabolic Syndrome
This randomized controlled trial will evaluate the effectiveness of an AI chatbot-enabled electronic patient-reported outcome (ePRO) monitoring and nurse-led self-management intervention for adults with early-stage…
- Trial name
- NCT07577284
- Testing
- AI chatbot-enabled nurse-led program., Usual Care
- Where
- Taiwan
- Volunteers
- 80 people
- Sponsor
- Taipei Medical University
Lung Cancer, Blood Biomarkers
AI for Lung Cancer Risk Definition in Computed Tomography Screening Programs
Low-dose computed tomography (LDCT) lung cancer (LC) screening can reduce mortality among heavy smokers, but there is a critical need to better identify people at higher risk and to reduce harms related to management of benign…
- Trial name
- NCT06320184
- Testing
- Artificial Intelligence risk model
- Where
- Italy
- Volunteers
- 650 people, healthy volunteers welcome
- Sponsor
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
COVID-19, COVID
COVID-19 Infection and Machine Learning Using Artificial Intelligence (AI)
COVID-19 infection is currently confirmed by a complex, multiple-step procedure starting with a mucosal swab, followed by viral RNA extraction and processing and qPCR.
- Conditions
- COVID-19, COVID, SARS-CoV 2
- Trial name
- NCT04756518
- Where
- United Kingdom
- Volunteers
- 215 people
- Sponsor
- East Suffolk and North Essex NHS Foundation Trust
Neurodegenerative Diseases, Parkinson Disease
Neurodegenerative Diseases Progression Markers (MARKERS-NDD)
MARKERS-NDD is a prospective, observational, longitudinal study, which aims to collect data from patients affected by neurodegenerative diseases (NDD) followed longitudinally for routine examinations performed as part of normal…
- Conditions
- Neurodegenerative Diseases, Parkinson Disease, Synucleinopathies, Lewy Body Disease
- Trial name
- MARKERS-NDD (NCT06596746)
- Testing
- Observation
- Where
- Italy
- Volunteers
- 600 people
- Sponsor
- Casa di Cura San Raffaele Cassino
Allergic Rhinitis, Asthma
ClimAIr: AI to Assess the Impact of Pollution and Climate on Respiratory Health in Europe
The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools.
- Trial name
- ClimAIr (NCT07107009)
- Volunteers
- 1,906 people
- Sponsor
- Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud
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
Therapeutic Alliance, Empathy
AI Ambient Scribe in Psychiatry
The goal of this clinical trial is to learn if an artificial intelligence (AI) tool that listens to appointments and drafts clinical notes can help clinicians in psychiatric care.
- Conditions
- Therapeutic Alliance, Empathy, Documentation, Artificial Intelligence (AI)
- Trial name
- AASP (NCT07777224)
- Testing
- Artificial Intelligence Ambient Scribe
- Where
- 8 sites in Switzerland
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- Psychiatrie St. Gallen
Pathology Foundation Model
AI-Assisted Pathologist Performance Improvement: A Multicenter, Prospective, Randomized Controlled Trial
The investigators plan to conduct a multicenter, prospective, randomized controlled trial to systematically evaluate the added value of pathology-based AI models in the gastric cancer diagnostic workflow.
- Trial name
- NCT07291362
- Testing
- AI pathology model, Control
- Where
- 2 sites in China
- Volunteers
- 1,000 people
- Sponsor
- Nanfang Hospital, Southern Medical University
Hypoxia
Clinical Validation of Vital-PICASO for Predicting Hypoxia Within 24 Hours in General Ward Inpatients
The purpose of this retrospective study is to evaluate the clinical performance of Vital-PICASO, an artificial intelligence-based biological signal analysis software designed to predict the risk of hypoxia within 24 hours using…
- Trial name
- NCT07742813
- Where
- South Korea
- Volunteers
- 2,250 people
- Sponsor
- Huinno AIM
Osteogenesis Imperfecta, Rare Bone Disorders
Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis
MOSAIC aims to determine whether oro-dental morphological anomalies, particularly palatal morphology, associated with rare bone and cartilage diseases can be precisely characterized using 3D digital models analysed through…
- Conditions
- Osteogenesis Imperfecta, Rare Bone Disorders, Hypophosphatemia, X-Linked
- Trial name
- MOSAIC (NCT07666269)
- Testing
- intra-oral 3D optical impression
- Where
- France
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- University Hospital, Bordeaux
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