Clinical trials: Artificial Intelligence
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
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
Detection and Characterization of Prostate Cancer Based on Artificial Intelligence
Automatic Detection in MRI of Prostate Cancer: DAICAP
Prostate cancer is the most common cancer in France and the 3rd most common cancer death in humans. The introduction of pre-biopsy MRI has considerably improved the quality of prostate cancer (PCa) diagnosis by increasing the…
- Trial name
- DAICAP (NCT05513820)
- Where
- France
- Volunteers
- 1,250 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Hepatocellular Carcinoma (HCC)
Artificially Intelligent Model for Accurate Detection of HCC
Purpose: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. The investigators aimed to develop a model with multi-modal features (MMF) using artificial…
- Trial name
- NCT06637059
- Testing
- observational study
- Where
- China
- Volunteers
- 1,092 people
- Sponsor
- Zhejiang University
Breast Cancer
Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer Treatment Planning
RadioVal will develop and implement interoperable solutions for clinical deployment of the radiomics tools, including information, training, and communication packages for clinicians and patients, as well as standard operating…
- Trial name
- RADIOVAL (NCT05070884)
- Testing
- The development of new clinical AI solutions to predict treatment response to neoadjuvant chemotherapy (NAC) in breast cancer
- Where
- 8 sites in Argentina, Austria and 6 more
- Volunteers
- 5,000 people
- Sponsor
- Instituto de Investigacion Sanitaria La Fe
Body Weight, Post-Op Complication
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
This Study aims to develop machine learning models with the ability to predict patients' BMI and complications after Bariatric Surgery (CABS-Score).
- Conditions
- Body Weight, Post-Op Complication, Anastomosis, Leaking, Hiatal Hernia
- Trial name
- NCT05710913
- Where
- Switzerland
- Volunteers
- 10,000 people
- Sponsor
- Dr. Med Anas Taha
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
Osteoporosis Risk, Fracture of Femur
Prediction Model of Hip Fragility Fracture Realistic Data From a Traumatology Department and Orthogeriatric Ward.
The aim of the project is to build a prediction model of hip fragility fracture using hospital data routinely collected in the traumatology department from the last 12 years and up to date Explainable Artificial Intelligence…
- Conditions
- Osteoporosis Risk, Fracture of Femur, Fragility
- Trial name
- NCT06545487
- Testing
- BLOOD SAMPLE
- Where
- Chile
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Universidad de Valparaiso
COVID-19
Dietary Intake and Eating Habits During the COVID-19 Pandemic
The COVID-19 pandemic affects eating habits, diet quality and physical activity differently among individuals; it is unclear how these behaviours will evolve as the pandemic continues.
- Trial name
- COVIDiet (NCT04407533)
- Testing
- Diet tracking and survey
- Where
- Canada
- Volunteers
- 2,020 people, healthy volunteers welcome
- Sponsor
- McGill University
Colorectal Adenoma
Development and Validation of an Artificial Intelligence-assisted Strategy Selection System for Colonoscopy Cleaning
Patients with poor inadequate bowel preparation need to undergo secondary colonoscopy. but the evaluation of intestinal cleanliness is judged by doctors subjectively.
- Trial name
- NCT04444908
- Where
- China
- Volunteers
- 657 people
- Sponsor
- Renmin Hospital of Wuhan University
Post-hepatectomy Liver Failure, Hepatocellular Carcinoma
Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework for Post-Hepatectomy Liver Failure Prediction
The goal of this in-silico clinical trial is to learn about the usability and clinical effectiveness of an interpretable deep learning framework (VAE-MLP) using counterfactual explanations and layerwise relevance propagation for…
- Conditions
- Post-hepatectomy Liver Failure, Hepatocellular Carcinoma, Artificial Intelligence
- Trial name
- NCT06031818
- Testing
- The explanation of deep learning framework (VAE-MLP) , including counterfactual explanations and layerwise relevance propagation, The model prediction, The model prediction and the explanation of deep learning framework (VAE-MLP) , including counterfactual explanations and layerwise relevance propagation
- Where
- China
- Volunteers
- 80 people
- Sponsor
- Maastricht University
Gingival Phenotype Assessment
Comparison of Artificial Intelligence and Clinicians With Different Experience Levels in Assessing Gingival Phenotype
The goal of this observational study is to compare the performance of clinicians with different experience levels and a deep learning-based artificial intelligence (AI) model in assessing gingival phenotype using two diagnostic…
- Trial name
- NCT07570290
- Testing
- Periodontal Probe Transparency Method, Visual Assessment Method, Deep Learning-Based Artificial Intelligence Model
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Ondokuz Mayıs University
Coronary Microvascular Disease, Artificial Intelligence
Artificial Intelligence With DEep Learning on COROnary Microvascular Disease
Despite the progress made in the management of myocardial infarction (MI), the associated morbidity and mortality remains high. Numerous scientific data show that damage of the coronary microcirculation (CM) during a STEMI…
- Conditions
- Coronary Microvascular Disease, Artificial Intelligence, Cardiovascular Diseases, Heart Failure
- Trial name
- AIDECORO (NCT04598997)
- Where
- France
- Volunteers
- 600 people
- Sponsor
- University Hospital, Grenoble
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
Self-harm, Suicide
Artificial Intelligence Self Harm Application
This is a mixed-methods study. The quantitative component will comprise of a multicentre rater-blind, randomized controlled trial to evaluate the feasibility and acceptability of AISHA in addition to treatment as usual (TAU)…
- Trial name
- AISHA (NCT06019663)
- Testing
- The Artificial Intelligence intervention for Self-Harm prevention Application (AISHA) is a mobile intervention based on Y-CMAP
- Where
- 2 sites in Pakistan
- Volunteers
- 312 people
- Sponsor
- Pakistan Institute of Living and Learning
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
Bowel Preparation
Impact of Artificial Intelligence-based Patient Reinforcement on Quality of Colonoscopy
In order to improve bowel preparation for colonoscopy and consequently enhance detection rate of malignant and premalignant findings, a prospective, randomized and controlled three-arm study was developed.
- Trial name
- ARCHES (NCT05041283)
- Testing
- Chatbot, Phone call
- Where
- 3 sites in Germany
- Volunteers
- 258 people, healthy volunteers welcome
- Sponsor
- University of Ulm