Clinical trials: Artificial Intelligence (AI) in Diagnosis
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
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 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.
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
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
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
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
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
Metabolic Disease
AI Models for Non-invasive Glycaemic Event Detection Using ECG in Type 1 Diabetics
This observational study aims to recruit up to thirty T1DM patients from a diabetic outpatient clinic at the University Hospital Coventry and Warwickshire for a two-phase study.
- Trial name
- NCT05461144
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- University Hospitals Coventry and Warwickshire NHS Trust
Depression - Major Depressive Disorder, Anxiety
Singula Phase 0.1 Primary Care Pilot
This prospective, single-arm, observational pilot study evaluates a clinical decision support system developed by Singula Health for use in primary care.
- Trial name
- NCT07834684
- Where
- 2 sites in United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Singula Health, Inc.
Heart Failure With Preserved Ejection Fraction
AI-based Echocardiographic Quantification in Heart Failure
Heart failure (HF) is a clinical complication. About half of HF patients have heart failure with normal systolic fraction (HFpEF), and most of them are elderly women.
- Trial name
- NCT07010952
- Testing
- AI-based image analysis, AI-based imaging analysis
- Volunteers
- 3,000 people
- Sponsor
- Mackay Memorial Hospital
Any Chronic, Non-traumatic Orthopedic Condition
Testing an AI Large Language Model Tool for Cognitive Debiasing in Musculoskeletal Care
The goal of this clinical trial is to find out whether using an artificial intelligence (AI) tool called a Large Language Model (LLM) can help patients think more clearly about their symptoms and improve their trust and…
- Trial name
- NCT07022769
- Testing
- LLM-facilitated cognitive debiasing aid
- Where
- United States
- Volunteers
- 150 people
- Sponsor
- University of Texas at Austin
Lung Cancers, Liver Cancer
AI-Assisted Non-Contrast CT for Multi-Cancer Screening
Cancer poses a major public health challenge in China. Early detection can improve treatment outcomes and survival rates. In this study, we will conduct a large-scale, prospective, multi-center cohort study to evaluate the…
- Conditions
- Lung Cancers, Liver Cancer, Gastric Cancers, Colorectal, Cancer
- Trial name
- NCT06632886
- Testing
- AI-Assisted Non-Contrast CT for Multi-Cancer Screening
- Where
- China
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Guo ShiWei
Breast Cancer
Prospective Validation of Ataraxis AI Test for Predicting Treatment Response in Neoadjuvant Breast Cancer
This study evaluates the real-world clinical workflow integration of a previously developed artificial intelligence (AI) prognostic test in breast cancer patients receiving neoadjuvant chemotherapy, and validates its accuracy in…
- Trial name
- ATARAXIS NEOP (NCT07327970)
- Testing
- multi-modal foundation AI test
- Where
- South Korea
- Volunteers
- 150 people
- Sponsor
- Young-Joon Kang
Lung Cancer (Diagnosis)
AI-Personalized Discharge Education for Patients After Lung Cancer Surgery
This randomized controlled trial evaluates the effect of artificial intelligence (AI)-personalized discharge education on discharge teaching quality and recovery outcomes in patients after lung cancer surgery.
- Trial name
- AI-LUNG (NCT07827183)
- Testing
- AI-Personalized Discharge Education, Routine Discharge Education
- Where
- China
- Volunteers
- 156 people
- Sponsor
- Xiamen University
Locally Advanced Rectal Cancer (LARC)
AI-Based Prediction of Pathological Response in Rectal Cancer Patients Receiving Total Neoadjuvant Therapy
This study aims to better understand how body composition, inflammation, and nutrition affect how rectal cancer responds to treatment.
- Trial name
- CINR-AI (NCT07049627)
- Testing
- Total Neoadjuvant Therapy (TNT)
- Where
- 2 sites in Turkey (Türkiye)
- Volunteers
- 93 people
- Sponsor
- Ankara Etlik City Hospital