Clinical trials: Artificial Intelligence (AI)
Clinical Decision-making, Medical Reporting
Artificial Intelligence as a Decision Making Tool in Emergency Department
This study will evaluate the performance of a large language model (LLM)-based clinical decision support system in the emergency department at Rambam Health Care Campus.
- Conditions
- Clinical Decision-making, Medical Reporting, Emergency Department Visit, Information Systems
- Trial name
- NCT06902675
- Where
- Israel
- Volunteers
- 100,000 people
- Sponsor
- Rambam Health Care Campus
Solitary Skin Lesions, Skin Neoplasms
CNN-Based AI Versus Physicians for Solitary Skin Lesion Diagnosis
The goal of this observational study is to evaluate the diagnostic accuracy of a CNN-based artificial intelligence model in patients with solitary skin lesions.
- Conditions
- Solitary Skin Lesions, Skin Neoplasms, Skin Neoplasm Malignant
- Trial name
- NCT07415291
- Where
- Turkey (Türkiye)
- Volunteers
- 17,625 people
- Sponsor
- Istanbul Training and Research Hospital
Speech Sound Disorder, Articulation Disorder
AI-Integrated Virtual Reality Speech Therapy in Children With Speech Sound Disorders
Speech sound disorders can affect intelligibility, learning, participation, and communication in children. This completed randomized controlled trial evaluated AI-Integrated Virtual Reality Speech Therapy (AI-IVR-ST) against…
- Conditions
- Speech Sound Disorder, Articulation Disorder, Phonological Disorder
- Trial name
- NCT07863778
- Testing
- AI-Integrated Virtual Reality Speech Therapy (AI-IVR-ST), Conventional Speech Therapy
- Where
- 2 sites in Pakistan
- Volunteers
- 64 people
- Sponsor
- Superior University
Skin and Connective Tissue Diseases, Neglected Tropical Diseases
Early Detection and AI-Based Management of Skin-Related Neglected Tropical Diseases in Sub-Saharan Africa by Frontline Health Workers
Skin-related Neglected Tropical Diseases (Skin NTDs) affect about 1.8 billion people worldwide, particularly in poor and rural communities where healthcare access is limited.
- Conditions
- Skin and Connective Tissue Diseases, Neglected Tropical Diseases, Leprosy, Buruli Ulcer
- Trial name
- SkincAIr (NCT07506967)
- Testing
- A mobile app with AI functionality for diagnosing skin-related NTDs
- Where
- 5 sites in Democratic Republic of the Congo, Ethiopia and 3 more
- Volunteers
- 2,420 people
- Sponsor
- Kenya Medical Research Institute
Use of Ambient AI Scribes, Patient-Phyisican Interaction
Assessing the Efficacy and Impact of Ambient AI Scribes in Healthcare
The goal of this clinical trial is to assess the impacts of ambient AI scribes on the workload and burnout in physicians who see patients in a clinic setting at least twice in a week, as well as the impacts on patient-physician…
- Conditions
- Use of Ambient AI Scribes, Patient-Phyisican Interaction, Physician Workload, Physician Burnout
- Trial name
- NCT07113938
- Testing
- Ambient AI Scribe
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- University of Saskatchewan
Health Communication, Patient Discharge
AI-Assisted Discharge Documents for Children and Families in a Pediatric Emergency Department
This study compared two ways of preparing discharge documents for children and families leaving a pediatric emergency department.
- Trial name
- EA (NCT07874659)
- Testing
- Conventional Discharge Documentation Workflow, LLM-Assisted Discharge Documentation Workflow
- Where
- 2 sites in France
- Volunteers
- 153 people
- Sponsor
- University Hospital, Montpellier
Breast Cancer
An AI Model Predicts the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer: a Multicenter, Bidirectional Cohort Study
Neoadjuvant chemotherapy is an important part of the systematic treatment of breast cancer, and it is of great clinical significance to predict the efficacy of neoadjuvant chemotherapy in early stage.
- Trial name
- NCT06510127
- Where
- China
- Volunteers
- 840 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Kidney Disease, Chronc Kidney Disease Stage 5
The Effect of Patient Empowerment Learning (With AI) About Itching in Hemodylasis Patients.
This study investigates whether artificial intelligence-supported patient education can reduce itching and improve patient empowerment in individuals with chronic kidney disease undergoing hemodialysis.
- Conditions
- Kidney Disease, Chronc Kidney Disease Stage 5, Chronic Kidney Disease
- Trial name
- NCT07740083
- Testing
- Artificial Intelligence-Supported Patient Education
- Where
- Turkey (Türkiye)
- Volunteers
- 128 people
- Sponsor
- Izmir Tinaztepe University
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Clinical Documentation, Artificial Intelligence
Ambient Audio-Visual Capture for Clinical Documentation and Assessment
AI-powered tools that automatically document clinical conversations are being adopted rapidly in outpatient settings but have not been evaluated in hospital wards.
- Conditions
- Clinical Documentation, Artificial Intelligence, Surgical Education, Medical Education
- Trial name
- BLACKFRAME-AV- (NCT07649772)
- Testing
- BlackFrame ambient audio-visual capture platform
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- BlackFrame.ai
Multiple Myeloma
AI-Based Fine Morphological Subtyping of Myeloma Single Cells for Predicting FISH Abnormalities
This study developed an artificial intelligence (AI)-based methodology for the quantitative analysis of single-cell morphological data in multiple myeloma (MM).
- Trial name
- AI (NCT07410403)
- Where
- China
- Volunteers
- 10 people
- Sponsor
- Fuling Zhou
Radiology, Internship and Residency
Measuring AI Reliance Among Intern Doctors in Palestine
This study aims to enroll intern doctors and have them sit one of three identical radiology exams. The only difference between them is an AI-assistant.
- Conditions
- Radiology, Internship and Residency, AI (Artificial Intelligence)
- Trial name
- AI-RP (NCT07558746)
- Testing
- AI prompt (Correct), AI prompt (Incorrect)
- Where
- Palestinian Territories
- Volunteers
- 159 people, healthy volunteers welcome
- Sponsor
- Al-Quds University
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
Bone Age
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
The purpose of this study is to understand the effects of using an Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system.
- Trial name
- NCT03530098
- Testing
- BoneAgeModel
- Where
- 6 sites in United States
- Volunteers
- 1,903 people
- Sponsor
- Stanford University
Borderline Intellectual Functioning (BIF), Intellectual Disability
Co-design of an AI Rehabilitation Program for Children With Borderline Intellectual Disorder
Co-design of an AI Rehabilitation Program for Children With Borderline Intellectual Disorder
- Trial name
- NCT07625592
- Testing
- Tablet-Based AI Cognitive and Language Rehabilitation Program
- Where
- South Korea
- Volunteers
- 30 people
- Sponsor
- Samsung Medical Center
Respiratory, Lung
Feasibility of AI-based Classification of Normal, Wheeze and Crackle Sounds From Stethoscope in Clinical Settings
Assessing the feasibility and testing the accuracy of the developed artificial intelligence algorithms for detection of wheezes and crackles in patients with lung pathologies in clinical settings on unseen local patient data…
- Trial name
- NCT05268263
- Testing
- Artificial Intelligence Algorithm
- Where
- Pakistan
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Innova Smart Technologies (Pvt.) Ltd
COPD
DYNAMIC AI: Digital Innovation With Remote Management and Predictive Modelling to Integrate COPD Care With Artificial Intelligence-based Insights: An Acceptability, Feasibility and Safety Study
DYNAMIC AI is an MHRA-regulated medical device trial that will examine the feasibility of using AI predictive models within COPD multi-disciplinary team meetings, to allow clinicians to prioritise and optimise COPD management.
- Trial name
- DYNAMIC AI (NCT05914220)
- Testing
- AI Insights Application
- Where
- United Kingdom
- Volunteers
- 500 people
- Sponsor
- NHS Greater Glasgow and Clyde
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
Otitis Media Acute, Otitis Media Effusion
Gamified Training and AI Support for Improving Ear Infection Diagnosis in Primary Care
Acute otitis media (AOM), or middle ear infection, is one of the most common childhood infections and a leading cause of antibiotic prescribing in primary care.
- Trial name
- NCT07246551
- Testing
- AOM Dx Trainer (gamified educational program), No Intervention - Standard Care
- Volunteers
- 200 people
- Sponsor
- Vastra Gotaland Region
Heart Failure, Heart Failure With Reduced Ejection Fraction
Efficacy of AI EF Screening by Using Smartphone Application Recorded PLAX View Cardiac Ultrasound Video Clips
Assessing the Efficacy of Artificial Intelligence in Left Ventricular Function Screening Using Parasternal Long Axis View Cardiac Ultrasound Video Clips ABSTRACT BACKGROUND: Echocardiography serves as a fundamental diagnostic…
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Cardiac Failure, Echocardiography
- Trial name
- NCT06330103
- Testing
- Easy EF
- Where
- Thailand
- Volunteers
- 923 people, healthy volunteers welcome
- Sponsor
- Rayong Hospital