Clinical trials: Intelligence
DSA, Bleeding
AI Assistance for Detecting Active Bleeding During DSA Procedures
Clinically, DSA-VDet can continuously indicate suspected bleeding regions throughout a complete angiographic sequence and provide a second-reader opinion to the operator.
- Conditions
- DSA, Bleeding, AI (Artificial Intelligence), Hemorrhage
- Trial name
- NCT07824739
- Testing
- DSA-VDet v1.0
- Where
- China
- Volunteers
- 1,324 people
- Sponsor
- Zhongda Hospital
Lung Cancer, Tuberculosis (TB)
Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance With Follow-up Tests After Abnormal Chest X-ray Findings Interpret by Artificial Intelligent
The study titled "Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance with Follow-up Tests after Abnormal Chest X-ray Findings Interpreted by Artificial Intelligence" aims to evaluate…
- Conditions
- Lung Cancer, Tuberculosis (TB), Chat-based Mobile Application, Compliance Behavior
- Trial name
- NCT07234929
- Testing
- chat-based mobile application (Zalo)
- Where
- Vietnam
- Volunteers
- 2,692 people, healthy volunteers welcome
- Sponsor
- Gia Dinh People Hospital
Asthma in Children, Artificial Intelligence
Artificially Intelligent Robot Control
The purpose of the study is to compare the impact of standard asthma education with the standard + Artificially Intelligent Robot (AIR) Control intervention.
- Conditions
- Asthma in Children, Artificial Intelligence, Caregiver Burden
- Trial name
- AIR (NCT07738016)
- Testing
- Artificially Intelligent Robot (AIR) Control Intervention, Standard Asthma Education
- Where
- United States
- Volunteers
- 80 people
- Sponsor
- University of Miami
High-risk Pregnancy, Hospitalization
LLM-Generated Medical Summaries During Hospitalization to Improve Patient Activation in High-Risk Pregnancies
The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care.
- Conditions
- High-risk Pregnancy, Hospitalization, Patient Activation, Artificial Intelligence (AI)
- Trial name
- NCT07823517
- Testing
- LLM-Generated Medical Summaries
- Where
- Israel
- Volunteers
- 200 people
- Sponsor
- Sheba Medical Center
Artificial Intelligence (AI)
Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Behavioral health problems, such as depression and anxiety, are common yet often are not identified by emergency department doctors and nurses.
- Trial name
- NCT06473558
- Testing
- Biometrics (or AI Biomaker)
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- University Hospitals Cleveland Medical Center
Substance-related Disorders, Behavior, Addictive
A Study of the Correlation Between the Severity of Substance Use Disorder and the Intensity of Dependence on Generative Artificial Intelligence
This bicentric, cross-sectional observational study conducted in France evaluates the relationship between substance use disorder (SUD) severity and generative artificial intelligence dependency among outpatients treated in…
- Conditions
- Substance-related Disorders, Behavior, Addictive, Artificial Intelligence (AI)
- Trial name
- ADDICT-IA (NCT07819851)
- Testing
- Questionnaire assessment
- Where
- France
- Volunteers
- 100 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
Nursing, Artificial Intelligence (AI)
AI-Assisted Smart Interactive Healthcare Robot
To address workforce shortages and increasing workloads in nursing, technological solutions and AI-powered robots for ward navigation have been introduced. However, limitations remain in their application to clinical care.
- Conditions
- Nursing, Artificial Intelligence (AI), Deep Learning, Mechine Learning
- Trial name
- NCT06972043
- Testing
- Intervention Group
- Where
- Taiwan
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Pulmonary Nodules, Lung Neoplasms
A Multicenter Cohort Study of AI-Based Methods for Pulmonary Nodule Diagnosis and Follow-up
This is an observational, multicentre study. The primary objective of this study was to evaluate the diagnostic performance and clinical applicability of artificial intelligence models for pulmonary nodule segmentation…
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Artificial Intelligence (AI)
- Trial name
- NCT07815483
- Volunteers
- 16,880 people
- Sponsor
- Shanghai East Hospital
Autoimmune / Connective Tissue Diseases, Anti-Nuclear Antibody
Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test
The objective of this prospective observational study is to rigorously examine the feasibility and efficacy of utilizing latent diffusion models for data augmentation in anti-nuclear antibody (ANA) Hep-2 cell immunofluorescence…
- Conditions
- Autoimmune / Connective Tissue Diseases, Anti-Nuclear Antibody, Visual Turing Tests, Artifical Intelligence
- Trial name
- NCT06542783
- Testing
- referring to the results of AI model output
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Traumatic Brain Injury, Exercise
AI-driven Personalized Exercise Feedback Program on Exercise Adherence in Traumatic Brain Injury
This study aims to develop and evaluate an AI-driven Personalized Exercise Feedback Program (AI-PEF) to enhance exercise adherence and health outcomes in mTBI patients.
- Conditions
- Traumatic Brain Injury, Exercise, AI (Artificial Intelligence), Digital Health
- Trial name
- NCT06817564
- Testing
- AI-PEF, Theory-based digital exercise, Active Control
- Volunteers
- 125 people
- Sponsor
- National Defense Medical Center, Taiwan
Pancreatic Neoplasms, Pancreatic Ductal Adenocarcinoma (PDAC)
EUS-Based Artificial Intelligence to Predict Outcomes in Pancreatic Cancer
The EUS-AI-R study is an observational, single-center, two-phase (retrospective-prospective) study designed to develop and validate artificial intelligence (AI) models for predicting chemotherapy response and oncological outcomes…
- Conditions
- Pancreatic Neoplasms, Pancreatic Ductal Adenocarcinoma (PDAC), Artificial Intelligence (AI), Endoscopic Ultrasound (EUS)
- Trial name
- EUS-AI-R (NCT07803770)
- Testing
- Endoscopic ultrasound (EUS), with or without tissue acquisition (EUS-FNA/FNB), performed according to standard clinical practice. No study-specific intervention is introduced.
- Where
- Italy
- Volunteers
- 700 people
- Sponsor
- IRCCS San Raffaele
Respiratory Therapy Techniques, Artificial Intelligence in Education
AI-Powered Virtual Human Simulation in Students
This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning…
- Conditions
- Respiratory Therapy Techniques, Artificial Intelligence in Education, Clinical Education
- Trial name
- NCT07805499
- Testing
- AI-based virtual human simulation training
- Where
- Taiwan
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Fu Jen Catholic University
Arthroscopy, Artificial Intelligence (AI)
The Effect of AI Training on Arthroscopy Outcomes
This study is planned to determine the effects of AI-assisted regional training on surgical anxiety, fear, postoperative pain, and comfort levels in patients undergoing arthroscopy.
- Conditions
- Arthroscopy, Artificial Intelligence (AI), Surgical Anxiety, Surgical Fear
- Trial name
- NCT07800091
- Testing
- Artificial Intelligence-Based Education, Nurse-Led Education, Routine Information (Control)
- Where
- Turkey (Türkiye)
- Volunteers
- 75 people
- Sponsor
- Nigde Omer Halisdemir University
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
Ophthalmology, Artificial Intelligence (AI)
Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may…
- Conditions
- Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
- Trial name
- NCT07581925
- Testing
- Systemic diseases such as Hepatobiliary Disorders
- Where
- China
- Volunteers
- 730 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Mycosis Fungoides of Skin (Diagnosis), Artificial Intelligence (AI) in Diagnosis
AI in MF Diagnosis
The aim of this observational study is to evaluate the diagnostic performance of an AI algorithm in the histopathological diagnosis of MF compared to certified dermatopathologists.
- Trial name
- AI\MF (NCT07795242)
- Testing
- this study does not include any intervention
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Al-Azhar University
Seborrheic Keratoses, Artifical Intelligence
AI in SK Histopathological Diagnosis
The aim of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of Seborrheic keratosis compared to Certified Dermatopathologists.
- Trial name
- AI\SK (NCT07787481)
- Testing
- This study doesn't include an intervention.
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Al-Azhar University
Shade Match, Intraoral Scanner
Evaluation of Different Color Determination Methods
With the increasing aesthetic demands in dental practice, the accuracy and consistency of tooth color determination methods have gained importance for clinical success.
- Conditions
- Shade Match, Intraoral Scanner, Artifical Intelligence
- Trial name
- NCT07781839
- Testing
- Observer-Based Shade Selection, Artificial Intelligence-Based Shade Selection, Digital Intraoral Scanner
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Konya Necmettin Erbakan Üniversitesi
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
Intensive Care Unit-acquired Weakness, Artifical Intelligence
AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness
The aim of this observational case-control study is to investigate, whether artificial intelligence can detect ultrasound-derived imaging characteristics typical for intensive care unit-acquired weakness.
- Conditions
- Intensive Care Unit-acquired Weakness, Artifical Intelligence, Ultrasound
- Trial name
- ACTIVATE (NCT06765551)
- Testing
- Neuromuscular Ultrasound
- Where
- Germany
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- Jena University Hospital