Clinical trials: Artificial Intelligence-Assisted Care
Intraoperative Hypotension
Hypotension Prediction Index (HPI) and Assisted Fluid Management (AFM) for Perioperative Hemodynamic Optimization in Patients Under General Anesthesia
This study investigates if the Hypotension Prediction Index (HPI) combined with the Assisted Fluid Management (AFM) software can improve perioperative hemodynamic management in adult patients undergoing general anesthesia.
- Trial name
- NCT07301307
- Testing
- Acumen IQ sensor with Hypotension Prediction Index (HPI) and Assisted Fluid Management (AFM) software, Conventional Intraoperative Hemodynamic management
- Where
- Greece
- Volunteers
- 100 people
- Sponsor
- National and Kapodistrian University of Athens
Artificial Intelligence, Septic Shock
Artificial Intelligence for Sepsis Prediction in ICU
The development of sepsis prediction model in line with Chinese population, and extended to clinical, assist clinicians for early identification, early intervention, has a good application prospect.
- Conditions
- Artificial Intelligence, Septic Shock, Intensive Care Unit Psychosis
- Trial name
- AICUSepsis (NCT04913181)
- Testing
- Artificial intelligence sepsis prediction model
- Volunteers
- 2,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Skin Condition, Skin Abnormalities
Using an Artificial Intelligence Medical Device to Help Primary Care Practitioners Identify and Manage Skin Conditions (Tumor, Inflammatory, and Infectious Diseases) in Adult Patients at Pozuelo and Majadahonda Health Centers
The goal of this observational study is to learn if an artificial intelligence (AI) tool helps primary care practitioners better identify skin conditions.
- Conditions
- Skin Condition, Skin Abnormalities, Malignancy, Melanoma (Skin Cancer)
- Trial name
- NCT07429123
- Testing
- Primary care practitioners aided by Legit.Health Plus
- Where
- Spain
- Volunteers
- 131 people
- Sponsor
- AI Labs Group S.L
Glaucoma, Diabetic Retinopathy (DR)
"My Eyes, My Light": Amar Chokh, Amar Alo
Eye disease affects 2.2 billion people globally, which in turn adversely affects schooling, economic productivity, and participation in social life.
- Conditions
- Glaucoma, Diabetic Retinopathy (DR), Hypertensive Retinopathy, Cataract
- Trial name
- ACA2 (NCT07135570)
- Testing
- Multimodal Screening for Eye Disease, cataract surgery
- Where
- Bangladesh
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Data Yakka, Inc.
Congenital Heart Disease (CHD), Screening Tool
"SOUND" Trial: Study of On-site Use of Novel AI-assisted Diagnostics in CHD Screening
This study plans to conduct clinical validation of the model in real clinical settings, comparing it with primary care physicians and specialist physicians to ensure the model's practicality.
- Conditions
- Congenital Heart Disease (CHD), Screening Tool, Artificial Intelligence (AI), Cluster Randomized Trial
- Trial name
- NCT06791109
- Testing
- Primary care physicians, AI + Primary care physicians
- Where
- China
- Volunteers
- 19,697 people, healthy volunteers welcome
- Sponsor
- Kun Sun
Tuberculosis (TB)
Effectiveness of Computer-Aided Detection Chest X-Ray Screening for Improving Tuberculosis Diagnostic Yield in Chinese Primary Health Care Settings: Study Protocol for a Prospective Cluster Randomized Controlled Trial
The global incidence rate and mortality of tuberculosis (TB) pose a challenge to achieving the goals set out in the tuberculosis eradication strategy and the SDGs by 2030.
- Trial name
- NCT06963606
- Testing
- Artificial intelligence-assisted chest X-ray in TB screening, Routine doctors analyze the process of chest X-rays
- Where
- China
- Volunteers
- 22,000 people, healthy volunteers welcome
- Sponsor
- Xuelin Yang
Diabetes Mellitus, Artificial Intelligence (AI)
Artificial Intelligence-Supported Mobile Application For Diabetes Self-Management
Patients in the AI-supported mobile application group will be able to log in with a username and password that will be defined specifically for them.
- Conditions
- Diabetes Mellitus, Artificial Intelligence (AI), Self-management
- Trial name
- NCT06650098
- Testing
- artificial intelligence-supported mobile application, WEB based application
- Where
- Turkey (Türkiye)
- Volunteers
- 156 people
- Sponsor
- Uludag University
Skin Lesions, Melanocytic Nevi
Evaluating an Artificial Intelligence Tool to Help Primary Care Doctors Diagnose Skin Conditions.
This study aims to determine if an artificial intelligence (AI) medical device can help primary care doctors more accurately identify and manage various skin conditions.
- Conditions
- Skin Lesions, Melanocytic Nevi, Melanoma (Skin Cancer), Basal Cell Carcinoma of Skin
- Trial name
- LegitHealth PH (NCT07428941)
- Testing
- AI-based medical device for aided diagnosis in dermatological conditions
- Where
- Spain
- Volunteers
- 9 people
- Sponsor
- AI Labs Group S.L
Diabetic Retinopathy, Glaucoma
AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care
Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries.
- Conditions
- Diabetic Retinopathy, Glaucoma, Age-Related Macular Degeneration, Choroidal Nevus
- Trial name
- NCT04132401
- Testing
- algorithm
- Where
- Spain
- Volunteers
- 902 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Shared Decision Making, Health Literacy
Designing a Large Language Model Architecture for Shared Decision Making and Informed Intentions
This study investigates a novel, agentic Large Language Model (LLM) architecture designed to facilitate Shared Decision-Making (SDM) in healthcare.
- Conditions
- Shared Decision Making, Health Literacy, Patient Participation, Artificial Intelligence
- Trial name
- DEONCAI3-1 (NCT07827924)
- Testing
- Agentic LLM Chatbot, Usual Care LLM Chatbot, IQWiG Standard Brochure
- Volunteers
- 330 people, healthy volunteers welcome
- Sponsor
- Harding Center for Risk Literacy
Bronchiolitis, Bronchitis
Effect of AI-Assisted Discharge Education on Parents of Children With Bronchitis/Bronchiolitis
This randomized controlled trial aims to evaluate the effects of artificial intelligence-assisted discharge education on mothers of children hospitalized with bronchitis/bronchiolitis.
- Trial name
- NCT07774494
- Testing
- AI-Assisted Written Discharge Education, AI-Assisted Video Discharge Education, Routine Discharge Education
- Where
- Turkey (Türkiye)
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- Osmaniye Korkut Ata University
Advanced Heart Failure
Wearables and Artificial Intelligence in Advanced Heart Failure Care
The goal of this observational study is to evaluate whether AI-based analyses of wearable sensor data can identify early signs of deterioration leading to hospitalization in patients with advanced heart failure.
- Trial name
- WAI-HF (NCT07051356)
- Where
- Netherlands
- Volunteers
- 200 people
- Sponsor
- UMC Utrecht
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
Stroke
Assisted Rehabilitation Care During Post-stroke mANaGement: fEasibiLity Assessment
The ARCANGEL study evaluates the feasibility of introducing ARC (Assisted Rehabilitation Care), a new device for home-based post-stroke rehabilitation in the current clinical practise.
- Trial name
- ARCANGEL (NCT03787433)
- Testing
- ARC - Assisted Rehabilitation Care
- Where
- 2 sites in Italy, United Kingdom
- Volunteers
- 41 people
- Sponsor
- Camlin Ltd
Decision Support Systems, Clinical, Referral and Consultation
Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions
The goal of this study is to test an artificial intelligence (AI) tool called SAGE. SAGE helps primary care doctors with questions that often need a specialist. Primary care doctors are the doctors people usually see first.
- Trial name
- SAGE (NCT07706920)
- Testing
- SAGE (AI clinical decision support), Standard eConsult
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- Stanford University
PJI, Spondylodiscitis
Paper-based Electrochemical Point-of-care Device in Diagnostic of Orthopedic Infections
Periprosthetic Joint infections (PJI) and spondylodiscitis are considered some of the most costly infectious diseases because require at least one surgery, prolonged hospitalisation, rehabilitation care, prolonged antibiotherapy…
- Trial name
- Ortho-PoC (NCT06666023)
- Testing
- Device
- Where
- Italy
- Volunteers
- 400 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Nursing Education
Kolb-Based AI-Powered Neonatal Simulation Training
This quasi-experimental study aims to evaluate the multidimensional effects of an artificial intelligence-supported newborn simulation training program based on Kolb's Experiential Learning Theory on nursing students'…
- Trial name
- NCT07872969
- Testing
- Kolb-Based Artificial Intelligence-Supported Neonatal Simulation Training
- Where
- Turkey (Türkiye)
- Volunteers
- 34 people, healthy volunteers welcome
- Sponsor
- Maltepe University
Lung Cancer
AI-Assisted Chest CT Interpretation Across the Lung Cancer Care Continuum
This investigator-initiated, single-center study consists of a retrospective artificial intelligence model-development stage and a prospective physician reader-study stage.
- Trial name
- NCT07829640
- Testing
- Chest CT Artificial Intelligence Decision-Support System
- Where
- China
- Volunteers
- 15 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Bone Fractures
AI-Assisted Fracture Detection in Emergency Radiography
This study evaluates whether artificial intelligence (AI) can support doctors who interpret X-rays for suspected fractures in emergency care.
- Trial name
- FAIR (NCT06754137)
- Testing
- BoneView AI-Assisted Radiograph Interpretation
- Where
- 3 sites in Austria, Germany
- Volunteers
- 1,667 people
- Sponsor
- Salzburger Landeskliniken
Influenza Vaccination
Artificial Intelligence-assisted Primary Care for Influenza Vaccination Among Chronic Patients in China (AIPC-Flu)
The goal of this clinical trial is to evaluate whether an AI-assisted primary care intervention can increase influenza vaccination uptake among patients with chronic diseases and to assess the cost-effectiveness and potential for…
- Trial name
- NCT07873255
- Testing
- AI-assisted primary care intervention
- Volunteers
- 1,300 people
- Sponsor
- Fudan University