Clinical trials: Intelligence
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
Melanoma
iToBoS: Clinical Data Acquisition Study
The (overarching) iToBoS Project involves 18 research partners spanning the European Union (including UK and Israel), and 1 Australian partner.
- Trial name
- iToBoS (NCT05075356)
- Testing
- The intelligent total body scanner (iToBoS)
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- The University of Queensland
Breast Cancer
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Breast Nodules
The application of computer-aided diagnosis (CAD) technology "S-Detect" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results.
- Trial name
- NCT03887598
- Testing
- Ultrasound diagnosis
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xin-Wu Cui
Artifical Intelligence, Nursing Education
AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING
The global increase in cancer cases has made breast cancer the second most common cancer after lung cancer and a primary health problem among women.
- Conditions
- Artifical Intelligence, Nursing Education, Breast Self-Examination
- Trial name
- NCT07562321
- Testing
- Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Baskent University
Scoliosis Patients
Artificial Intelligence and Scoliosis
The aim of the study to use artificial intelligence technology in assessment of scoliosis degree of severity and to personalize for treatment plan for each pa tient .
- Trial name
- NCT06589583
- Where
- Egypt
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Delta University for Science and Technology
Malaria,Falciparum, Malaria in Pregnancy
Plasmodium Falciparum Genomic Intelligence in Mozambique
Mozambique is among the ten countries with the highest burden of malaria worldwide, with an estimated 9.3 million cases in 2018, and constitutes a core target for the World Health Organization (WHO) and the Roll Back Malaria…
- Conditions
- Malaria,Falciparum, Malaria in Pregnancy, Malaria
- Trial name
- GenMoz (NCT05306067)
- Testing
- LDH-based malaria rapid diagnostic test, Malaria rapid diagnostic test
- Where
- Mozambique
- Volunteers
- 21,848 people, healthy volunteers welcome
- Sponsor
- Centro de Investigacao em Saude de Manhica
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
Cancer
The Vallania Study: A Case Control Study for the Development of Multiomics Blood Tests for Cancer Screening
This protocol is a case-control, multicenter, diagnostic study to collect blood samples to support the development of blood-based screening tests for multiple cancers.
- Trial name
- NCT05254834
- Testing
- Freenome Test
- Where
- 68 sites in United States
- Volunteers
- 7,435 people, healthy volunteers welcome
- Sponsor
- Freenome Holdings Inc.
Periodontal Diseases
Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images
This study aims to develop and validate an artificial intelligence-based system for automated measurement of keratinized gingiva width using smartphone-acquired intraoral clinical photographs.
- Trial name
- NCT07689552
- Testing
- Artificial Intelligence-Based Keratinized Gingiva Width Assessment
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Cerebral Small Vessel Disease
Intelligent Analysis and Clinical Validation of Cerebral Small Vessel Disease on Magnetic Resonance Imaging：A Multi-center Study
Cerebral small vessel disease (CSVD) accounts for 20% of ischemic strokes and is the most common cause of vascular cognitive impairment.
- Trial name
- NCT06667635
- Testing
- Artificial intelligence
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Chinese PLA General Hospital
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
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
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
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
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
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
Communication Skills
Use of Artificial Intelligence to Assess Trainee Communication Compared to Human Assessment
This study will evaluate whether a web-based artificial intelligence platform (AI) (Clinical Mind AI [CMAI] Stanford, CA), can assess communication skills in anesthesiology trainees, including residents and fellows, in the…
- Trial name
- NCT07107880
- Testing
- Communication Assessment through AI and Human
- Where
- United States
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Stanford University
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