Clinical trials: Acceptance of Artificial Intelligence
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
Leukaemia, Multiple Myeloma (MM), Lymphoma, Large B-Cell, Diffuse (DLBCL), Lymphoma
Randomised Controlled Trial of Artificial Intelligence-assisted Health Education
With the rapid advancement of biopharmaceutical technology, clinical trials have become the crucial bridge connecting new drugs from the laboratory to clinical application.
- Conditions
- Leukaemia, Multiple Myeloma (MM), Lymphoma, Large B-Cell, Diffuse (DLBCL), Lymphoma, Lymphoma
- Trial name
- NCT07305337
- Testing
- Artificial Intelligence Health Education, Artificial health education
- Where
- China
- Volunteers
- 196 people
- Sponsor
- Zhongnan Hospital
Digital Health, Artificial Intelligence (AI)
Trust in AI and Digitalization in Healthcare Across Generational Groups
This study aims to investigate differences in perception of barriers and facilitators of digitalization and Artificial Intelligence (AI) usage in healthcare across different generational groups (youth, working-age adults, and…
- Trial name
- TRUST-AI (NCT07265427)
- Where
- 2 sites in Germany
- Volunteers
- 188 people
- Sponsor
- Jacobs University Bremen gGmbH
Breast Cancer, Breast Neoplasm
Evaluating an AI-Based Mobile Application for Chemotherapy Support in Breast Cancer Patients
The goal of this clinical trial is to learn if an Arabic-language mobile application that uses artificial intelligence (AI) can help women with breast cancer during chemotherapy.
- Conditions
- Breast Cancer, Breast Neoplasm, Chemotherapy-Related Toxicities, Medication Adherence
- Trial name
- AI-ChemoApp (NCT07273812)
- Testing
- AI-Based Mobile Application for Personalized Chemotherapy Support, Usual Care
- Where
- Iraq
- Volunteers
- 130 people
- Sponsor
- Dena h. Al-Tameemi
Opiate Addiction, Medication Non-adherence
Using Artificial Intelligence To Monitor Medication Adherence in Opioid Replacement Therapy
This study uses an artificial intelligence platform to automatically confirm medication ingestion. The Health Insurance Portability and Accountability Act (HIPAA)-compliant platform can be downloaded as an 'app' onto any…
- Conditions
- Opiate Addiction, Medication Non-adherence, Addiction, Opioid Dependence
- Trial name
- NCT02243670
- Testing
- AiCure monitoring and intervention
- Where
- United States
- Volunteers
- 9 people
- Sponsor
- AiCure
Gastrointestinal Hemorrhage
Artificial Intelligent Clinical Decision Support System Simulation Center Study for Technology Acceptance
The purpose of this research study is to measure the effect on of a large language model interface on the usability, attitudes, and provider trust when using a machine learning algorithm-based clinical decision support system in…
- Trial name
- NCT05816473
- Testing
- LLM
- Where
- United States
- Volunteers
- 108 people, healthy volunteers welcome
- Sponsor
- Yale University
Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder
Pai.ACT - An Artificial Intelligence Driven Chatbot Assisted ACT
Limited psychological support for parents of children with special needs in Hong Kong can profoundly impact the child rehabilitation process and the well-being of parent-child dyads.
- Conditions
- Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Neurodevelopmental Disorders, Intellectual Disability
- Trial name
- NCT06086951
- Testing
- Pai.ACT Group, Control Group
- Where
- 2 sites in Hong Kong
- Volunteers
- 60 people
- Sponsor
- Chinese University of Hong Kong
Falls Risk
Examining Nurses' Trust and Acceptance of FAIR, an AI-powered Falls Risk Recommender
An exploratory mixed-method study will be conducted to test acceptance and trust of an AI-powered falls risk predictor system by inpatient hospital nurses
- Trial name
- NCT07078240
- Testing
- Falls risk - Artificial Intelligence Recommender (FAIR), modified Western Health Falls Risk Assessment Tool (mWHeFRA)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Tan Tock Seng Hospital
Artificial Intelligence (AI), Physiotherapist Students
Physiotherapists and Artificial Intelligence
This study is a cross-sectional study designed within the scope of the descriptive and relational screening model of quantitative research methods.
- Conditions
- Artificial Intelligence (AI), Physiotherapist Students, Digital Competences, Acceptance of Artificial Intelligence
- Trial name
- NCT06941402
- Where
- 4 sites in Turkey (Türkiye)
- Volunteers
- 552 people, healthy volunteers welcome
- Sponsor
- Uşak University