Clinical trials: Intelligence
Gingivitis
Artificial Intelligence for the Diagnosis of Gingivitis
this study aims to use AI to diagnose the stages of gingivitis
- Trial name
- NCT07727421
- Testing
- Artificial intelligence Diagnostic Model
- Where
- Egypt
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Mental Health Simulation, Professional Identity
A Robotic Mental Health Simulation Intervention to Enhance Professional Identity, Interpersonal Communication Competence, and Emotional Intelligence Among Saudi Nursing Students: A Quasi-Experimental Study
A quasi-experimental pre-test, post-test, and three-month follow-up design will be used. Nursing students assigned to the intervention group will participate in structured robotic mental health simulation sessions involving…
- Conditions
- Mental Health Simulation, Professional Identity, Interpersonal Communication Competence
- Trial name
- NCT07627646
- Testing
- Mental Health Robotic Simulation Training
- Where
- Saudi Arabia
- Volunteers
- 80 people
- Sponsor
- Alexandria University
Orbital Neoplasms, Conjunctival Neoplasms
Artificial Intelligence-assisted Screening of Malignant Pigmented Tumors on the Ocular Surface
Rare diseases generally refer to diseases whose prevalence rate is lower than 1 / 10 000 and the number of patients is less than 140000.
- Conditions
- Orbital Neoplasms, Conjunctival Neoplasms, Eye Neoplasms
- Trial name
- NCT05645341
- Testing
- screening system for ocular surface malignant tumors
- Where
- China
- Volunteers
- 535 people
- Sponsor
- Sun Yat-sen University
History-taking Training, GPT
Simulated Patient and AI-based Roleplay for History-taking
The goal of this clinical trial is to evaluate whether AI-based simulated patient training can improve clinical reasoning and history-taking skills in medical students.
- Conditions
- History-taking Training, GPT, Medical Education
- Trial name
- SPAR-H (NCT06766383)
- Testing
- GPT-simulated patients, traditional role-playing
- Where
- China
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- zhen wang
Androgenetic Alopecia
Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study
The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and…
- Trial name
- NCT07294313
- Where
- Egypt
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Cairo University
Prostate Cancer
The PROSECCA Study, Answering New Questions in Prostate Cancer
Nearly half of all cancer patients receive radiotherapy as part of their treatment and although it is effective at destroying cancerous lesions deep within the body, this comes at the cost of damaging healthy, or normal, tissues.
- Trial name
- PROSECCA (NCT06714630)
- Where
- United Kingdom
- Volunteers
- 15,000 people
- Sponsor
- University of Edinburgh
Polyneuropathies
ChatGPT in the Diagnosis and Management of Complex Polyneuropathies: Comparative Analysis With Neurologists Using Real-World Cases
BACKGROUND AND PURPOSE Polyneuropathies are diseases affecting the peripheral nerves that occur in approximately 1% of the general population, rising to up to 13% among older adults.
- Trial name
- REASON (NCT07493681)
- Testing
- ChatGPT-4o, chatGPT
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- Istituto Clinico Humanitas
Soil Transmitted Helminths, Schistosomiasis Mansoni
Evaluation of an AI-DP for STH Deworming Programs: a Study Protocol
The goal of this observational study is to test a new AI diagnostic tool for detection, specification and quantification of parasitic infections (Ascaris, Trichuris, hookworm and S.
- Trial name
- KAKADU (NCT06055530)
- Testing
- Artificial Intelligence Digital Pathology
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Enaiblers AB
Primary Care, Artificial Intelligence (AI)
Improving the Accuracy of Artificial Intelligence Triage in Primary Care
WHY ARE WE DOING THIS? When patients contact their GP practice, the first step is to work out what kind of help they need and how quickly it's needed. This is called 'triage' and is important for patient safety.
- Trial name
- NCT07237919
- Testing
- AI triage, No AI triage
- Where
- United Kingdom
- Volunteers
- 226,821 people, healthy volunteers welcome
- Sponsor
- University of Manchester
Retinal Diseases, Artificial Intelligence
Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis
Fundus images are widely used in ophthalmology for the detection of diabetic retinopathy, glaucoma and other diseases. In real-world practice, the quality of fundus images can be unacceptable, which can undermine diagnostic…
- Trial name
- NCT04289064
- Testing
- Taking a fundus image
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
AI-assisted Colonoscopy
AI_Colonoscopy_for_Fellows
The goal of this study is to look at how good artificial intelligence (AI) assisted colonoscopy is compared to conventional colonoscopy in detecting polyps when used by gastroenterology fellows.
- Trial name
- NCT07661914
- Testing
- AI assisted colonoscopy, Conventional Colonoscopy
- Where
- United States
- Volunteers
- 8 people, healthy volunteers welcome
- Sponsor
- University of Oklahoma
Mental Disorder
Mapping Personality Traits to Genes
Previous research involving families, twins, and adoption all support the idea that there is a substantial heritable aspect to personality.
- Trial name
- NCT00001414
- Where
- United States
- Volunteers
- 2,400 people, healthy volunteers welcome
- Sponsor
- National Institute of Mental Health (NIMH)
Artificial Intelligence, Usability
AI-based Informational Assistant for Automated Point-of-care Documentation and Protocol Retrieval
Clinical rounds in the intensive care unit (ICU) involve substantial manual documentation. Retrieving the correct protocol text and structuring notes at the bedside is time-consuming and may contribute to variation in…
- Trial name
- NCT07493616
- Volunteers
- 25 people
- Sponsor
- Willemijn Berkhout
Ear Infection
Application of the Belle.AI Comparative Image Reference System for Describing Chronic Ear Infections in Pediatric Patients From Low-Resource Communities
The purpose of this research is to examine the clinical effectiveness of an investigational AI-powered smartphone app that describes the physical characteristics of an otoscopy image. It is not intended to make any diagnosis.
- Trial name
- Otoscopy AI (NCT07025473)
- Testing
- Smartphone-enabled otoscopy
- Where
- United States
- Volunteers
- 20 people
- Sponsor
- BelleTorus Corporation
Motor Disorders
A Preliminary Study on Artificial Intelligence for Infant Motor Screening
The purpose of this preliminary study is to apply AI technology on a sample of infants aged 4 to 18 months to develop an action tracking and recognition algorithm for infant motor screening and to determine the accuracy of the…
- Trial name
- NCT04684173
- Where
- Taiwan
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Dermatologic Disease
A Skin Image Reference Tool to Aid Healthcare Providers' Diagnosis
Consented patients will have three images taken of their dermatologic conditions within the Belle.ai software. These images will be uploaded and saved within the Belle software system where a single AI-generated differential list…
- Trial name
- NCT07033169
- Where
- United States
- Volunteers
- 400 people
- Sponsor
- Wake Forest University Health Sciences
Musculoskeletal Disorders, Knee Osteoarthritis (OA)
Effectiveness of a Mobile Telerehabilitation Tool Versus Conventional Treatment in Total Knee Arthroplasty
Knee arthroplasty is one of the most common surgical procedures, and early rehabilitation is essential for patient recovery, pain modulation and a faster reintegration into daily life activities.
- Trial name
- NCT06735547
- Testing
- Telerehabilitation, Conventional therapy group
- Where
- Colombia
- Volunteers
- 216 people
- Sponsor
- Sanitas University
Nasopharyngeal Cancinoma (NPC), Lymph Node Metastasis
A Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma(NPC)
(I) AI Model for Diagnosing Lymph Node Metastasis We developed an AI model to help diagnose whether a single lymph node in nasopharyngeal cancer has spread. The model uses MRI images of the lymph node and the area around it.
- Trial name
- NPC (NCT06829147)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Proximal Femoral Fracture
Proximal Femur Image Database Validation
The AO@AI Turin project is a collaborative project with a Turin group and the AO (Arbeitsgemeinschaft für Osteosynthesefragen, or in English, Association for the Study of Internal Fixation) foundation.
- Trial name
- NCT06351943
- Testing
- Fracture classification annotations provided by the Turin group, Fracture classification annotations provided by the AO expert surgeon group
- Where
- Switzerland
- Volunteers
- 2,932 people
- Sponsor
- AO Innovation Translation Center
Dental Caries (Diagnosis), Artifical Intelligence
Accuracy Of Detection Of Dental Caries From Intraoral Images Using Different ArtificiaI Intelligence Models
The goal of this observational study is to evaluate the diagnostic accuracy of different deep learning models in detecting dental caries from intra oral images taken by a professional intra oral camera in children.
- Conditions
- Dental Caries (Diagnosis), Artifical Intelligence, Intraoral Images
- Trial name
- NCT06749743
- Testing
- FASTER RCNN
- Where
- Egypt
- Volunteers
- 398 people
- Sponsor
- Cairo University