Clinical trials: AI (Artificial Intelligence)
Chest X-ray for Clinical Evaluation
Feasibility of AI-based Heart Function Prediction Model Using CXR
The investigators will develop an artificial intelligence model to predict left ventricular ejection fraction using chest radiographic images and transthoracic echocardiography data.
- Trial name
- AI-CXR (NCT04996381)
- Testing
- Scanning Chest X-rays and performing AI algorithms on images
- Where
- South Korea
- Volunteers
- 505 people
- Sponsor
- Yonsei University
Myopia
AI-Stratified Myopia Control for Children in Remote Areas
This cluster-randomized controlled trial aims to evaluate the effectiveness and cost-effectiveness of an artificial intelligence-based, risk-stratified, tiered intervention model for childhood myopia prevention and control in…
- Trial name
- NCT07825428
- Testing
- Routine Screening and Referral, AI-Guided Tiered Management
- Where
- 3 sites in China
- Volunteers
- 1,600 people, healthy volunteers welcome
- Sponsor
- Shanghai Eye Disease Prevention and Treatment Center
Suicide, Suicide and Self-harm
The Use of Voice-Based AI in 988 Crisis Counseling
Effective training requires repeated opportunities for skills practice with performance-based feedback, which is challenging to provide at scale.
- Trial name
- NCT06299384
- Testing
- LyssnCrisis
- Where
- United States
- Volunteers
- 81 people
- Sponsor
- Lyssn.io, Inc.
Hereditary Cancer Syndromes
Feasibility Study of a Chatbot AI-Driven Preliminary Screening System for Hereditary Cancer Syndromes
This study aims to assess the feasibility of implementing an AI-based hereditary cancer preliminary screening system that has already been developed.
- Trial name
- NCT07901543
- Testing
- Hereditary cancer preliminary screening chatbot
- Where
- Singapore
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- National Cancer Centre, Singapore
Hepatocellular Carcinoma
AI-Based Multimodal Integration for Tumor Microenvironment Analysis and Response Prediction in HCC Treated With TACE Plus Immunotherapy and Targeted Therapy (CHANCE2601)
This study aims to prospectively validate a retrospective cohort-derived AI-based multimodal model and explore tumor heterogeneity and the immune microenvironment to guide TACE combined with immunotherapy and targeted therapy in…
- Trial name
- NCT07584317
- Testing
- Artificial Intelligence
- Volunteers
- 1,170 people
- Sponsor
- Gao-jun Teng
Physical Activity
Self-directed Use of Resources for Physical Activity
This is a pilot RCT examining physical activity outcomes at 3 months across 3 conditions: use of large language model (LLM) fully self-directed; use of LLM with guidance; and use of online tools to help with sleep.
- Trial name
- CHARGE (NCT07654868)
- Testing
- LLM alone, LLM enhanced, Sleep promotion
- Volunteers
- 39 people
- Sponsor
- University of Florida
Breast Cancer, Early Breast Cancer
Independent, External, Blinded Retrospective Validation of an AI-based Prognostic Assay in ER-Positive/HER2-Negative Early Breast Cancer
This retrospective observational study evaluates the prognostic performance of a locked Artificial Intelligence (AI)-based assay in patients with Estrogen Receptor (ER)-positive, Human Epidermal Growth Factor Receptor 2…
- Conditions
- Breast Cancer, Early Breast Cancer, ER-Positive HER2-Negative Breast Cancer
- Trial name
- NCT07541703
- Testing
- Locked AI-based prognostic assay
- Where
- Austria
- Volunteers
- 2,200 people
- Sponsor
- Spotlight Medical
Sepsis, Patient Deterioration
UMMS Sepsis Early Prediction Score (SEPSys) and RESCUE Score Combined Clinical Trial
This study is designed to test two new risk scores - one designed to predict a patient's four-hour risk of developing sepsis and one designed to predict a patient's four-hour risk of deterioration (cardiac arrest, death…
- Trial name
- NCT06779617
- Testing
- SEPSys, RESCUE
- Where
- 8 sites in United States
- Volunteers
- 150,000 people
- Sponsor
- University of Maryland, Baltimore
Breast Cancer
A Study on Predicting the Risk of Distant Metastasis in Breast Cancer Using AI-Generated Spatial Pathological Maps
The goal of this observational study is to develop and validate an artificial intelligence (AI) model for predicting the risk of distant metastasis in patients with primary breast cancer.
- Trial name
- ARGUS project (NCT07244094)
- Testing
- Diagnostic Test: AI-Based Spatial Pathomic Analysis
- Where
- 4 sites in China
- Volunteers
- 400 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Fertility Disorders
Data Collection and Professional Simulated Use Study to Develop an Embryo Quality Artificial Intelligence (AI) Model
This protocol supports the reliable development and improvement of Artificial Intelligence (AI)-based applications by enabling training, verification, and validation using high-quality real clinical data.
- Trial name
- NCT07017972
- Testing
- AI evaluation of embryos
- Where
- United States
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Fairtility
Brain Tumors
SIMPLIFication of Care Pathways for Patients With Rare Brain Tumors Through Artificial Intelligence
This study focuses on rare brain tumors, which are heterogeneous entities with different morphological, biological, and clinical characteristics.
- Trial name
- SIMPLIF-AI (NCT06878469)
- Testing
- RehaCom
- Where
- 2 sites in Italy
- Volunteers
- 200 people
- Sponsor
- Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
Hypertension
AI Activity Study in Patients With Elevated Blood Pressure
In this pilot RCT, a total of 40 adults with hypertension will be randomized to either an artificial intelligence (AI) physical activity intervention group or an active control group with a 1 to 1 ratio after completing a 2-week…
- Trial name
- NCT03969056
- Testing
- Artificial Intelligence (AI) Activity, 10,000 steps
- Where
- United States
- Volunteers
- 7 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Gastric Cancer, Prehabilitation
Preoperative Home-based Multimodal Prehabilitation Based on 5G + Artificial Intelligence Mobile Health
The goal of this prospective, multicenter, open-label randomized controlled clinical trial is to evaluate whether a home-based, digitally supervised multi-modal prehabilitation intervention can improve functional capacity…
- Trial name
- NCT07755917
- Testing
- mHealth prehabilitation group, ERAS group
- Volunteers
- 490 people
- Sponsor
- The Affiliated Hospital of Qingdao University
Lung Nodule
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
chest x-rays will be analyzed by AI software for a secondary read of lung nodules. Chest x-rays will either be sent to the AI tool to be read or to radiologists to read.
- Trial name
- NCT06597968
- Testing
- AI Based CAD Software (qXR-Ln)
- Where
- United States
- Volunteers
- 44,900 people
- Sponsor
- University Hospitals Cleveland Medical Center
Stroke, Acute
Whole-process Quality Improvement of Endovascular Treatment Basd on an AI-aided Clinical Feedback System
A clustered randomized control trial to evaluate whether multi-aspect intervention based on an AI-aided clinical feedback system could improve the quality of EVT and functional outcome of patients.
- Trial name
- NCT05874596
- Testing
- AI-aided clinical feedback system coupled with multi-aspect intervention basd on Behaviour Change Wheel model
- Where
- China
- Volunteers
- 1,289 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Hypogonadism, Male, Secondary Hypogonadism
AIM-TEST: Microbiome-Targeted Nutrition for Functional Secondary Hypogonadism
AIM-TEST is a randomized, double-blind, placebo-controlled clinical trial evaluating whether an AI-guided, microbiome-targeted nutritional intervention can increase the body's own testosterone production in men aged 30-65 years…
- Trial name
- AIM-TEST (NCT07761546)
- Testing
- Fixed-Formula Microbiome-Targeted Oral Nutritional Supplement
- Where
- Turkey (Türkiye)
- Volunteers
- 112 people
- Sponsor
- Varol TUNALI
Medical History Taking, Artificial Intelligence in Clinical Workflow
Augmenting Clinical Workflow With a Structured Chatbot for Patient History Collection and Diagnostic Support
Doctors spend much of each visit collecting the patient's medical history, and incomplete histories can delay diagnosis. This study tests an AI chatbot that interviews patients before their appointment and produces a structured…
- Conditions
- Medical History Taking, Artificial Intelligence in Clinical Workflow, Outpatient Clinical Encounter
- Trial name
- CHAT-HX (NCT07860762)
- Testing
- AI-Based Structured History-Taking Chatbot
- Where
- Germany
- Volunteers
- 100 people
- Sponsor
- Massachusetts General Hospital
Major Depressive Disorder (MDD)
Evaluating Conversational Artificial Intelligence for Depression Management
The goal of this clinical trial is to evaluate how a conversational method of collecting medical history affects patients' perceptions and experiences compared to clinical care as usual.
- Trial name
- NCT07105397
- Testing
- Conversational AI system vs Usual Care
- Where
- United States
- Volunteers
- 130 people
- Sponsor
- George Mason University
Coronary Stenosis
Automatic Anatomical and Functional Classification of Coronary Arteries With Artificial Intelligence.
The goal of this Category 3 research involving the human person is to predict the measurement of the post-stenosis flow (FFR) using CTTA coupled with an intelligent predictive analysis system and comparing it with invasive…
- Trial name
- COROSCAN-IA (NCT05810610)
- Volunteers
- 1,670 people
- Sponsor
- Institut Mutualiste Montsouris
Diabetic Foot Ulcer (DFU)
AI Wound Alert & Home Management for Recurrent DFU
Diabetes is one of the major chronic diseases, and diabetic foot ulcer (DFU) is a significant adverse prognosis of diabetes. The recurrence of DFU after healing involves multiple risk factors, such as changes in foot loading…
- Trial name
- NCT07277010
- Testing
- Individualized follow-up care
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Peking University Third Hospital