Clinical trials: AI
Virtual Patient, Social Robots
AI-generated Feedback in Social Robotic Virtual Patients
The goal of this quasi-experimental educational study is to learn whether AI-generated post-consultation feedback in social robotic virtual patient interactions improves medical students' clinical performance in medical…
- Conditions
- Virtual Patient, Social Robots, Artificial Intelligence (AI), Large Language Model
- Trial name
- NCT07277829
- Testing
- AI post consultation feedback
- Where
- Sweden
- Volunteers
- 115 people
- Sponsor
- Ioannis Parodis
Cholestasis in Newborn, Biliary Atresia
The Dirty Nappy Study
This observational study evaluates whether a machine-learning algorithm, a computer program that learns patterns from data, can accurately diagnose cholestasis in newborns.
- Conditions
- Cholestasis in Newborn, Biliary Atresia, Neonatal Cholestasis
- Trial name
- NCT07697872
- Where
- United Kingdom
- Volunteers
- 5,350 people, healthy volunteers welcome
- Sponsor
- Birmingham Women's and Children's NHS Foundation Trust
Nociception, Artificial Intelligence (AI)
AI-Assisted Analgesia Copilot System
The primary objective of the SEASCAPE project is to design, develop, and to apply a clinical implementation tool of a machine learning (ML) and artificial intelligence (AI)-based co-pilot system for the real-time monitoring and…
- Conditions
- Nociception, Artificial Intelligence (AI), Target Controlled Infusion (TCI), Remifentanil Consumption
- Trial name
- SEASCAPE (NCT07253012)
- Testing
- Hemodynamic monitor, BIS, TOF, ANI, anesthesia machine and infusion pumps, SEASCAPE
- Where
- 2 sites in Chile
- Volunteers
- 150 people
- Sponsor
- Pontificia Universidad Catolica de Chile
Neuromotor Impairments
AI-based Model for Rehabilitation Engagement and Motor Performance Evaluation in Pediatric Patients: A Pilot Study
What is the purpose of this study? This study aims to evaluate the usability and feasibility of an artificial intelligence-based model designed to monitor in real-time the engagement and motor performance of pediatric patients…
- Trial name
- AI-REMAP (NCT07664033)
- Testing
- Artificial Intelligence Model for Rehabilitation Engagement Monitoring
- Where
- Italy
- Volunteers
- 15 people
- Sponsor
- IRCCS Eugenio Medea
Basal Cell Cancer
AI in Histipathological Diagnosis of Bcc
The goal of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of bcc compared to certified dermatopathologists
- Trial name
- AI\bcc (NCT07786376)
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Otolaryngological Diseases Requiring Mastoidectomy, Middle Ear Surgery, Endolymphatic Sac Surgery, Cochlear Implant, Labyrinthectomy, Petrous Apex Lesions, Facial Nerve Surgery, and Lateral Skull Base Tumors
AI Recognition of Important Structures in Otolaryngological Surgery
Developing a system for artificial intelligence to recognize anatomical landmarks in otolaryngological surgery, enabling real-time tracking of critical temporal bone structures during surgery.
- Trial name
- NCT06726551
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Shoulder Dystocia Training Using AI-supported Flipped Learning in Midwifery Education
Evalution of the Effectiveness of a Shoulder Dystocia Training Program Designed With Inverted Learning Supported by Generative Artificial Intelligence
With the ongoing digital transformation in health education, the importance of learner-centered and technology-integrated approaches has been increasing.
- Trial name
- NCT07514702
- Where
- Turkey (Türkiye)
- Volunteers
- 114 people, healthy volunteers welcome
- Sponsor
- Fenerbahce University
Therapeutic Communication
Culturally-Tailored AI Chatbot Simulation for Therapeutic Communication and Empathy in Psychiatric Nursing Students
Therapeutic communication and empathy are core competencies in psychiatric nursing, yet students often have limited opportunities to practise them safely with culturally realistic patients and families.
- Trial name
- AI-CHAT-PSY (NCT07905469)
- Testing
- Culturally-Tailored AI Chatbot Simulation, Instructor-Facilitated Peer Role-Play
- Where
- Egypt
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Alexandria University
Type 1 Diabetes Mellitus
Feasibility and Effectiveness of an AI-Powered Carbohydrate Counting Educational Platform to Support Parents of Children With Type 1 Diabetes
The goal of this clinical trial is to learn whether an AI-powered carbohydrate counting educational platform can help parents of children with type 1 diabetes improve their carbohydrate counting skills and diabetes management.
- Trial name
- CARB-AI (NCT07671053)
- Testing
- AI-Powered Carbohydrate Counting Educational Platform
- Where
- 3 sites in Oman, United Arab Emirates
- Volunteers
- 80 people
- Sponsor
- Sultan Qaboos University
Asthma, Child
Ai Chi Method for Children With Asthma
This study has the aim to assess the effectiveness of the Ai Chi method as an adjunct therapy in the treatment of children with asthma.
- Conditions
- Asthma, Child, Respiratory Disease, Hydrotherapy
- Trial name
- NCT03392129
- Testing
- Ai Chi, Asthma education
- Where
- Brazil
- Volunteers
- 42 people
- Sponsor
- Universidade Federal do Rio Grande do Norte
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
Endocrine Diseases
Performance of the Diagnostic Value of Bone Age Assessment Software Based on Deep Learning in Chinese Children
High accuracy and precision bone age assessment is very important for the diagnosis and treatment monitoring of various pediatric diseases.
- Trial name
- NCT05137301
- Testing
- X-ray bone age instrument
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Tongji Hospital
First Suspected Epileptic Seizure
Improving Diagnostics and Care After First Seizure
A first epileptic seizure is a distressing experience, often leading to a complicated and discouraging journey before an epilepsy diagnosis is confirmed. Early diagnostics can help alleviate this uncertainty.
- Trial name
- EPI-NY (NCT06814665)
- Where
- Norway
- Volunteers
- 200 people
- Sponsor
- Haukeland University Hospital
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
Eye Diseases
Ophthalmic Diseases and AI: an RCT Study
Ophthalmic diseases are a major category of conditions affecting visual health, including but not limited to cataracts, glaucoma, retinal and choroidal diseases, and refractive errors (such as myopia, hyperopia, and astigmatism).
- Trial name
- NCT07154680
- Testing
- GPT-4o mini;Claude 3 Haiku;Gemini 1.5 Flash;Llama 3.1 7OB;GPT-4o;Claude 3.5 Sonnet;Gemini 1.5 Pro;Llama 3.1 4O5B
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- North Sichuan Medical College
Oncology
Assessing Perceptions of ML Explanations by Medical Oncologists
The objective of this proposal is to conduct a vignette-based survey among practicing oncology clinicians who treat non-small cell lung cancer to assess the trustworthiness of explainable predictions from a neurosymbolic AI vs.
- Trial name
- NCT06699615
- Testing
- Once time de-identified Qualtrics survey
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Abramson Cancer Center at Penn Medicine
Self-Directed Learning, Artificial Intelligence
ChatGPT Helping Advance Training for Medical Students: A Study on Self-Directed Learning Enhancement
The goal of this clinical trial is to evaluate the effect of LearnGuide, a custom GPT developed with ChatGPT for supporting self-directed learning (SDL) in medical students.
- Conditions
- Self-Directed Learning, Artificial Intelligence, Medical Education
- Trial name
- CHAT-MS (NCT06276049)
- Testing
- custom GPT supported self-directed learning
- Where
- China
- Volunteers
- 103 people, healthy volunteers welcome
- Sponsor
- Wang Shalong
Acute Promyelocytic Leukemia (APL), Acute Myeloid Leukaemia (AML)
AI-Assisted Acute Myeloid Leukemia Evaluation With the Leukemia End-to-End Analysis Platform (LEAP) Versus Clinician-Only Assessment
This study will test whether artificial intelligence (AI) can help doctors diagnose a rare blood cancer called acute promyelocytic leukemia (APL) more quickly and accurately.
- Trial name
- LEAP (NCT07203885)
- Testing
- Unaided Review First, Then AI-Assisted Review, AI-Assisted Review First, Then Unaided Review
- Where
- United States
- Volunteers
- 10 people
- Sponsor
- Harvard Medical School (HMS and HSDM)
HPV Vaccination Rates, HPV Vaccine Awareness
Effectiveness of Large Language Model-Based Chatbot Among Female University Stdents in Improving HPV Vaccine Awareness, Intention and Vaccination Rates
This is an interventional study targeting female university students. The primary objective of the study is to evaluate the effectiveness of a vaccine chatbot in improving HPV vaccination rates.
- Conditions
- HPV Vaccination Rates, HPV Vaccine Awareness, HPV Vaccination Intention
- Trial name
- NCT07351604
- Testing
- Scientific videos, Vaccine chatbot
- Volunteers
- 18,000 people, healthy volunteers welcome
- Sponsor
- Xiamen University
Nursing Teaching Pedagogy, Conversational AI Nursing Education Serious Game
Artificial Intelligence-Based Emergency Triage Education Tool in Enhancing Clinical Critical Thinking and Triage Practice
The study aims to develop an artificial intelligence (AI) based emergency triage education tool for providing critical thinking and questioning skills training to nursing students.
- Trial name
- NCT06811987
- Testing
- Instructor-led AI-Triage educational serious game, Self play AI-Triage educational serious game
- Volunteers
- 350 people, healthy volunteers welcome
- Sponsor
- Hong Kong Metropolitan University