Clinical trials: Clinical Decision Support, open to volunteers
Cirrhosis, Decision Support Systems, Clinical
CirrhosisRx CDS System
The aim of the study is to compare the effect of CirrhosisRx, a novel clinical decision support (CDS) system for inpatient cirrhosis care, versus "usual care" on adherence to national quality measures and clinical outcomes for…
- Trial name
- NCT05967273
- Testing
- CirrhosisRx CDS
- Where
- United States
- Volunteers
- 2,106 people
- Sponsor
- University of California, San Francisco
Glioma, Glioma (Diagnosis)
AI-driven Processing and Analysis of Glioma Imaging Data
GLIOMAID is a scientific research project focused on improving how brain tumors, specifically gliomas, are diagnosed and managed. It uses Artificial Intelligence (AI) to analyze MRI brain scans and patient data.
- Trial name
- GLIOMAID (NCT07703761)
- Testing
- AI-driven analysis of brain MRI data for early, non-invasive detection, segmentation, and histological characterization of gliomas using retrospective clinical and imaging records.
- Where
- Italy
- Volunteers
- 700 people
- Sponsor
- Università degli Studi di Trento
Heart Failure
Decision Support System for Diagnosis and Progression of Heart Failure
Heart failure (HF) is a complex clinical syndrome associated with impaired heart function, poor quality of life for patients and high healthcare costs.
- Trial name
- STRATIFYHF (NCT06377319)
- Testing
- Cardiac Output Response to Stress (CORS) test
- Volunteers
- 1,600 people
- Sponsor
- Coventry University
Pain, Chronic, Chronic Pain, Widespread
Person-Centred AI Support in Interdisciplinary Rehabilitation for Chronic Pain
This cluster randomized controlled trial evaluates whether a person-centred, AI-supported Clinical Decision Support System (CDSS) can improve outcomes and cost-effectiveness in interdisciplinary rehabilitation for people with…
- Conditions
- Pain, Chronic, Chronic Pain, Widespread, Pain Management
- Trial name
- pAIn (NCT07081737)
- Testing
- Interdisciplinary treatment (IDT) + Clinical Decision Support System (CDSS), Interdisciplinary treatment (IDT)
- Where
- Sweden
- Volunteers
- 400 people
- Sponsor
- Bjorn Ang
Adverse Drug Reactions, Clinical Decision Support
Multi-Agent Collaborative ADR Prediction With Human-Machine Decision Comparison
This study develops a multi-agent collaborative prediction model to forecast adverse drug reactions using real-world clinical medical records.
- Trial name
- NCT07808866
- Testing
- Retrospective medical record data analysis only, no clinical intervention
- Where
- 2 sites in China
- Volunteers
- 20,000 people
- Sponsor
- Peking University Third Hospital
Severe Sepsis, Severe Sepsis Without Septic Shock
Sepsis Clinical Decision Support [CDS] Master Enrollment Study Protocol
This protocol will collect real-world data retrospectively from the electronic health record (EHR) as data obtained from the delivery of routine medical care to develop a machine learning (ML)-based Clinical Decision Support…
- Trial name
- NCT05304728
- Where
- 10 sites in United States
- Volunteers
- 40,000 people
- Sponsor
- Beckman Coulter, Inc.
Diagnostic Decision Making
Integrating AI Predictions With Clinician Expertise
Optimizing the interaction between the human and the machine is a major topic when deploying artificial intelligence (AI) at the bedside.
- Trial name
- NCT07457840
- Testing
- Bayesian-Updated Post-Test Probability, Standard AI Predicted Probability, Uncertainty Quantification (95% Confidence Interval)
- Where
- United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Cardiopulmonary Exercise Test Interpretation
AI-Assisted Anaerobic Threshold Interpretation in Cardiopulmonary Exercise Testing
This prospective randomized two-period crossover reader study will evaluate whether assistance from a frozen artificial intelligence model improves physicians' interpretation of the anaerobic threshold (AT) in cardiopulmonary…
- Trial name
- PACE-Reader (NCT07833137)
- Testing
- AI-Assisted Anaerobic Threshold Interpretation, Unassisted Cardiopulmonary Exercise Test Interpretation
- Where
- China
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Pulmonary Nodule, Clinical Decision Support
AI-Assisted Management of Pulmonary Nodules Found on Low-Dose CT in Health Screening
Pulmonary nodules are frequently found during low-dose computed tomography (LDCT) health screening. The main challenge is not only detecting nodules, but also recommending the appropriate next step, such as routine follow-up…
- Trial name
- AI-NoduleCare (NCT07841600)
- Testing
- AI-Assisted Pulmonary Nodule Reporting Workflow, Conventional Pulmonary Nodule Reporting Workflow
- Volunteers
- 2,000 people
- Sponsor
- The First Affiliated Hospital of Guangzhou Medical University
Chest Pain, Dyspnea
ER-VISION-AI Study
Prospective, multicenter, randomized, open-label, blinded-endpoint (PROBE-like) clinical trial evaluating whether physician-supervised Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support improves…
- Conditions
- Chest Pain, Dyspnea, Acute Cardiopulmonary Disease, Emergency Department Patients
- Trial name
- ER-VISION-AI (NCT07727590)
- Testing
- Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support, Conventional emergency department diagnostic evaluation
- Where
- South Korea
- Volunteers
- 1,000 people
- Sponsor
- Ewha Womans University Mokdong Hospital
Acute Cardiovascular Disease, ST-segment Elevation Myocardial Infarction (STEMI)
MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions
The research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in…
- Conditions
- Acute Cardiovascular Disease, ST-segment Elevation Myocardial Infarction (STEMI), NSTEMI - Non-ST Segment Elevation MI
- Trial name
- MALBEC (NCT06927791)
- Testing
- Machine learning based development of a diagnostic tool for acute cardiovascular disease
- Where
- Switzerland
- Volunteers
- 200,000 people
- Sponsor
- University Hospital, Basel, Switzerland
Kidney Transplant, Transplant Recipients
AI-Assisted vs Usual Follow-up in Kidney Transplantation
The goal of this clinical trial is to learn whether kidney transplant follow-up visits run by a health professional using an artificial intelligence (AI) computer helper are as good as usual follow-up visits with a doctor.
- Trial name
- FOLLOW-KTx (NCT07842289)
- Testing
- AI-Assisted Follow-up Consultation, Usual Physician-Led Follow-up Consultation
- Where
- Brazil
- Volunteers
- 140 people
- Sponsor
- UPECLIN HC FM Botucatu Unesp
Unresectable Hepatocellular Carcinoma
AI-Guided First-Line Immunotherapy Selection in Unresectable Hepatocellular Carcinoma
This pragmatic, multicenter, cluster-randomized trial will evaluate whether a locked artificial intelligence (AI) clinical decision-support system can improve outcomes by helping multidisciplinary teams select first-line immune…
- Trial name
- HCC-AI-SELECT (NCT07729618)
- Testing
- AI-Assisted Clinical Decision Support Strategy, Usual-Care Multidisciplinary Treatment-Selection Strategy
- Where
- China
- Volunteers
- 1,800 people
- Sponsor
- Tongji Hospital
Chronic Rhinosinusitis (CRS)
Treatment Decision-Making Among Patients With Chronic Rhinosinusitis
This project aims to develop and pilot-test a bilingual, patient-centered clinical decision support (PC CDS) web application for individuals with chronic rhinosinusitis (CRS), a condition affecting 16% of U.S.
- Trial name
- CRS-AID (NCT07010679)
- Testing
- Patient Centered CRS Treatment Decision Support
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- University of Southern California
Postpartum Depression
Implementation of a Clinical Decision Support Tool for Postpartum Depression
This study will evaluate the use of an automated process in the electronic health record (EHR) that will help providers to detect patients at risk of developing postpartum depression (PPD).
- Trial name
- CDS (NCT06818734)
- Testing
- Clinical Decision Support Tool
- Where
- 4 sites in United States
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- Weill Medical College of Cornell University
Pediatric ALL, Sepsis
Evaluation of Pediatric eCART Implementation
This is a study comparing 3 years of retrospective data (pre-implementation) to 2 years of prospective data after the implementation of a pediatric version of Electronic Cardiac Arrest Risk Triage (pediatric eCART), a clinical…
- Trial name
- NCT06771830
- Testing
- Pediatric eCART
- Where
- United States
- Volunteers
- 30,000 people
- Sponsor
- University of Wisconsin, Madison
Ophthalmology, Large Language Models
A Multimodal AI Agent for Ophthalmic Clinical Decision Support
This study is a multicenter randomized controlled trial evaluating the effectiveness and safety of EyeAgent, a multimodal artificial intelligence (AI) agent designed to assist ophthalmologists in clinical decision-making.
- Conditions
- Ophthalmology, Large Language Models, AI Agent, Eye Disease
- Trial name
- NCT07401459
- Testing
- EyeAgent AI system
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The Hong Kong Polytechnic University
Pneumonia - Bacterial, Urinary Tract Infection Bacterial
Clinical Impact of a Machine Learning Decision Support System for Empirical Antibiotic Therapy
The goal of this quasi-experimental study is to analyze if a Machine Learning Clinical Decision Support System can improve the empirical antibiotic treatment in patients with pneumonia, urinary tract infection and / or sepsis.
- Conditions
- Pneumonia - Bacterial, Urinary Tract Infection Bacterial, Bloodstream Infection
- Trial name
- NCT07762378
- Testing
- Machine Learning Decision Support System
- Volunteers
- 486 people
- Sponsor
- Instituto de Investigación Sanitaria Gregorio Marañón
Antibiotic Allergy
Support Tool for Antibiotic Allergy deLabeling
Antibiotic allergy labels (AAL) are reported in 7% of inpatient's charts, especially for beta-lactams (86% of AAL, i.e., prevalence of 6%).
- Trial name
- STAAL (NCT06771440)
- Testing
- EPR search
- Where
- Belgium
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Universitaire Ziekenhuizen KU Leuven
Acute Kidney Injury
Effectiveness-Implementation Evaluation of Acute Kidney Injury Decision Support
Study Purpose: This study is testing an artificial intelligence (AI)-powered clinical decision support (CDS) system designed to help emergency department (ED) doctors detect and manage acute kidney injury (AKI) earlier.
- Trial name
- SMART-AKI (NCT06840210)
- Where
- United States
- Volunteers
- 200,000 people
- Sponsor
- Johns Hopkins University