Clinical trials: Artificial Intelligence
AI (Artificial Intelligence)
Knowledge, Perception, Usage And Concerns Of Artificial Intelligence Applications In Periodontology
Statement of problem: knowledge gap about knowledge, perception ,usage and concerns of artificial intelligence applications in periodontology among periodontists.
- Trial name
- NCT06951152
- Where
- Egypt
- Volunteers
- 275 people, healthy volunteers welcome
- Sponsor
- Ain Shams University
Artificial Intelligence, Healthcare Professionals
AI Readiness in Orthotics-Prosthetics
The aim of this study is to analyze, using a mixed-methods approach, the attitudes, perceptions, levels of technology acceptance, and competencies in the use of generative artificial intelligence among healthcare professionals…
- Conditions
- Artificial Intelligence, Healthcare Professionals, Orthotics and Prosthetics, Attitude
- Trial name
- NCT07547293
- Where
- Turkey (Türkiye)
- Volunteers
- 176 people, healthy volunteers welcome
- Sponsor
- gizem boztas
Pneumonia, Viral, COVID-19 Pneumonia
AI-based System for Assessing Suspected Viral Pneumonia Related Lung Changes
The AI-based system designed to process chest computed tomography (CT) aims to 1) detect the presence of pathologic patterns associated with interstitial changes in pneumonia; 2) highlight areas on the images with the probable…
- Trial name
- NCT06501599
- Testing
- Medical software (AI-based system)
- Where
- Russia
- Volunteers
- 563 people, healthy volunteers welcome
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
Communication Research
Language Translation of Knowledge Mobilization Resources
Knowledge mobilization (KM) resources are tools designed to facilitate the use of research evidence in healthcare decision-making.
- Trial name
- NCT07127887
- Testing
- KM Resource - AI, KM Resource - Professional
- Where
- Canada
- Volunteers
- 322 people, healthy volunteers welcome
- Sponsor
- University of Alberta
Gynecological Examination, Artificial Intelligence (AI)
The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction
Gynecological cancers, particularly cervical, ovarian, and endometrial cancers, pose a global problem. Cervical cancers are quite common worldwide, and this rate is even higher in developing countries.
- Conditions
- Gynecological Examination, Artificial Intelligence (AI), Patient Satisfaction, Anxiety
- Trial name
- NCT07599358
- Testing
- AI-assisted education
- Volunteers
- 114 people, healthy volunteers welcome
- Sponsor
- Fenerbahce University
AI Companionship
How Do Artificially Intelligent Companions Influence Psychological Outcomes?
This randomized longitudinal study examines how interacting with an artificially intelligent (AI) companion affects psychological well-being, social experiences, and interpersonal attitudes and behaviors over time.
- Trial name
- NCT07858279
- Testing
- AI Companion Interaction
- Where
- United States
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- University of Michigan
Ultrasound-guided Regional Anesthesia
Artificial Intelligence Empowered Anesthesia Ultrasound Guided Regional Anesthesia Training
Evaluate the effectiveness of AI powered anesthesia ultrasound in ultrasound-guided regional anesthesia (UGRA) training.
- Trial name
- NCT06546904
- Testing
- Artificial intelligence empowers anesthesia with ultrasound assistance
- Where
- China
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Tongji Hospital
Cervical Cancer, HPV
Automated Cervical Cancer Screening Using a Smartphone-based Artificial Intelligence Classifier
Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues.
- Trial name
- NCT04859530
- Testing
- AVC test
- Where
- Cameroon
- Volunteers
- 5,886 people, healthy volunteers welcome
- Sponsor
- Prof. Patrick Petignat
Root Canal
AI-Based Root Canal Length, Curvature, and Morphology Assessment Using CBCT
The primary aim of this study is to develop, evaluate, and validate a deep learning-based software system capable of generating automated, comprehensive clinical reports that detect, segment, and quantify root canal curvature…
- Trial name
- NCT07843992
- Testing
- AI-Based Deep Learning System for Root Canal Assessment
- Volunteers
- 155 people, healthy volunteers welcome
- Sponsor
- Cairo University
Wellness, Psychological, Mental Health Wellness 1
Artificial Intelligence Powered Mental Health Support Tool For Physicians In Training
The purpose of this pilot study is to evaluate the acceptability of an artificial intelligence powered mental health support tool for mental health wellness amongst physicians in training.
- Trial name
- NCT07087119
- Testing
- utilization of artificial intelligence powered mental health support session through a web browser
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Cedars-Sinai Medical Center
Medical Student
AI-Assisted Learning in Medicine
This multi-center retrospective cohort study investigates the real-world impact of integrating MetaGP-Edu, a proprietary AI tool fine-tuned for medical education, into the undergraduate Internal Medicine curriculum.
- Trial name
- NCT06945159
- Where
- 2 sites in China
- Volunteers
- 1,632 people, healthy volunteers welcome
- Sponsor
- Kang Zhang
Deafness Neurosensory
Real-time Artificial Intelligence-based Speech Enhancement Methods for Hearing Aid Improvement
Individuals with Auditory Neuropathy Spectrum Disorders (ANSD) represent 1-10% of adults with hearing loss. These individuals have little or no benefit from current hearing aids because ANSD is a continuum of hearing impairments…
- Trial name
- REFINED (NCT05985473)
- Testing
- audiological measurements, Objective and subjective audiological measurements, Evaluation of the denoising methods REFINED
- Where
- France
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Institut Pasteur
Artificial Intelligence (AI), Empathy
AI-Supported Empathy Mapping to Enhance Communication and Grit in Pediatric Nursing Students
The nurse-patient communication environment in pediatric care is characterized by high uncertainty and complexity. Due to children's limited language development and emotional regulation abilities, coupled with parents' high…
- Conditions
- Artificial Intelligence (AI), Empathy, Scaffolding, Pediatric Nursing
- Trial name
- NCT07370285
- Testing
- AI-Supported Empathy-Map Scaffolding Model
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- Mackay Memorial Hospital
Bipolar Disorder, Manic, Artificial Intelligence
Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
The aim of this study is to show the physiological changes during manic episode in bipolar mania how much they differentiate from remission and healthy control.
- Conditions
- Bipolar Disorder, Manic, Artificial Intelligence, Neurocognition, Treatment Resistant Disorders
- Trial name
- NCT03857438
- Testing
- Ongoing treatment for bipolar mania, Audiovisual recording during guided presentation
- Where
- Turkey (Türkiye)
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Istanbul Saglik Bilimleri University
Musculoskeletal Pain, Musculoskeletal Injury
Monitoring and Evaluation of Posture in Office Workstations With Artificial Intelligence
Office workers spend 11.6 hours per day in sedentary activities during the day, leading to increased health risks. Although there is literature on prevalence of musculoskeletal disorders and work station modification for office…
- Conditions
- Musculoskeletal Pain, Musculoskeletal Injury, Musculoskeletal Strain
- Trial name
- NCT04122326
- Testing
- Workstation Modification
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- University of Southern California
Chronic Pain
DNIC Using Deep Learning and Artificial Intelligence
Chronic pain (CP) is disabling for people triggering important costs for society. A deficit of diffuse noxious inhibitory controls (DNIC) is one of the CP mechanisms.
- Trial name
- NCT04896827
- Testing
- Conditioned pain modulation test
- Where
- Canada
- Volunteers
- 244 people, healthy volunteers welcome
- Sponsor
- Université de Sherbrooke
Parkinson's Disease, Progressive Supranuclear Palsy(PSP)
Study on Artificial Intelligence-Based Facial and Speech-Related Patterns in Parkinson's Disease and Their Digital Biomarkers
This research employs AI to analyze facial expressions and speech patterns, aiming to develop new digital tools for diagnosing and differentiating Parkinson's disease and similar disorders.
- Conditions
- Parkinson's Disease, Progressive Supranuclear Palsy(PSP), Multiple System Atrophy, Healthy Control
- Trial name
- NCT07392411
- Testing
- video recording
- Where
- China
- Volunteers
- 720 people, healthy volunteers welcome
- Sponsor
- Beijing Tiantan Hospital
Colorectal Cancer, Colorectal Neoplasms
Early Detection of Advanced Adenomas and Colorectal Cancer
This study aims to develop a highly sensitive, specific, and cost-effective blood assay for early detection of colorectal adenomas and cancer, using advanced machine learning and state-of-the-art biological analyses.
- Conditions
- Colorectal Cancer, Colorectal Neoplasms, Colorectal Polyp, Colorectal Adenocarcinoma
- Trial name
- AACRC (NCT06342440)
- Testing
- DENEB
- Where
- 6 sites in United States, China and 3 more
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- City of Hope Medical Center
Diabete Mellitus, Diabetic Retinopathy
Multi-modal Imaging and Artificial Intelligence Diagnostic System for Multi-level Clinical Application
This study is to build an multi-modal artificial intelligence ophthalmological imaging diagnostic system covering multi-level medical institutions.
- Trial name
- NCT03899623
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
COVID-19, COVID-19 Respiratory Infection
AI Evaluation of COVID-19 Sounds (AI-EChOS)
In this study the investigators record sounds of voice, breaths and cough of subjects who tested positive for COVID19. The investigators then feed these sounds into an artificial intelligence and see if it can learn to recognise…
- Conditions
- COVID-19, COVID-19 Respiratory Infection, Cough, Breathing Sound
- Trial name
- AI-EChOS (NCT05115097)
- Where
- Italy
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- IRCCS San Raffaele
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