Clinical trials: Clinical Decision Support Systems, 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
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
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
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
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
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
Chronic Pain, Pain Management
PREDICT-DOLOR VE: Validation of a Structured Triage Protocol for Chronic Pain
PREDICT-DOLOR VE is a structured clinical triage protocol for chronic pain that uses five internationally validated pain assessment instruments to help healthcare providers determine the appropriate level of care for patients…
- Conditions
- Chronic Pain, Pain Management, Neuropathic Pain
- Trial name
- PREDICT-VE (NCT07696676)
- Testing
- PREDICT-DOLOR VE
- Volunteers
- 120 people
- Sponsor
- Universidad Central de Venezuela
Wounds, Wounds and Injuries
Pilot Trial for WounDx™ Clinical Decision Support Tool
The purpose of this research is to evaluate the overall use of the WounDx medical device in a clinical setting, such as a hospital.
- Conditions
- Wounds, Wounds and Injuries, Extremity Injury, Traumatic Wounds and Injuries
- Trial name
- NCT06921707
- Testing
- Clinical Decision Support Tool, Standard of Care (SOC)
- Where
- 5 sites in United States
- Volunteers
- 40 people
- Sponsor
- Henry M. Jackson Foundation for the Advancement of Military Medicine
Ventricular Ejection Fraction, LVF
AI-Enabled Direct-from-ECG Ejection Fraction (EF) Severity Assessment Using COR ECG Wearable Monitor
This prospective, multicenter, cluster-randomized controlled study aims to evaluate the accuracy of an investigational artificial intelligence (AI) Software as a Medical Device (SaMD) designed to compute ejection fraction (EF)…
- Conditions
- Ventricular Ejection Fraction, LVF, LV Dysfunction, Atrial Enlargement
- Trial name
- EFACT (NCT06699056)
- Testing
- 15-minutes of sitting during COR ECG Acquistion
- Where
- 8 sites in United States
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Peerbridge Health, Inc
Surgical Site Infection (SSI), Central Nervous System Tumor
A Clinical Prediction Model for Surgical Site Infection After Central Nervous System Tumor Surgery
1. Study Background For patients undergoing brain or spinal tumor surgery, postoperative surgical wound infection (known as "surgical site infection," SSI) is a recognized risk.
- Trial name
- NCT07378683
- Testing
- ML-Based Enhanced Intervention Package for SSI Prevention, Standard Postoperative Care
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Ming Yang
Diabetes (Insulin-requiring, Type 1 or Type 2)
Evaluation of a Mobile AI-powered Decision Support System for Insulin Dosing and Glucose Prediction in Type 1 Diabetes: The glUCModel Clinical Trial Protocol
The goal of this clinical trial is to evaluate the safety and efficacy of integrating predictive models into insulin therapy management via the user-centered glUCModel mobile app in People with Type 1 Diabetes Mellitus following…
- Trial name
- glUCModel-1 (NCT07304778)
- Testing
- glUCModel app
- Where
- 2 sites in Spain
- Volunteers
- 34 people
- Sponsor
- Universidad Complutense de Madrid
Stroke, Mild Cognitive Impairment (MCI)
Telerehabilitation Decision Support System: Pilot Testing Protocol
This study follows the successfully completed HOLOBalance project which was funded by the EU Horizon 2020 scheme. TheHOLOBalance platform delivers exercises demonstrated via a hologram of the physiotherapist and corrected in real…
- Conditions
- Stroke, Mild Cognitive Impairment (MCI), Vestibular Disease, Long Covid-19
- Trial name
- TeleRehab DSS (NCT07079787)
- Testing
- TeleRehab DSS Pilot Test
- Where
- 5 sites in Germany, Greece and 3 more
- Volunteers
- 30 people
- Sponsor
- University College, London
Differential Diagnosis, Diagnostic Accuracy
Evaluation of One-Shot Vision Differential Diagnosis (OSVDE) and Multi-Step Conversational Non-Inferiority (MSCNE) in AI Medical Interviewing
This study evaluates the diagnostic performance of a multimodal artificial intelligence (AI) system (AIMD.1) using de-identified medical images and semi-synthetic patient simulations.
- Trial name
- OSVDE-MSCNE (NCT07470463)
- Testing
- AI Diagnostic System (AIMD.1)
- Where
- United States
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Magic Health Inc. (d.b.a. Nolla Health)
HIV (Human Immunodeficiency Virus), Clinical Decision Support System (CDSS)
Evaluating a Clinical Decision Support Tool for Antiretroviral Therapy Optimization
This study is testing software designed to help healthcare providers choose the best HIV treatment combinations for their patients.
- Conditions
- HIV (Human Immunodeficiency Virus), Clinical Decision Support System (CDSS), Antiretroviral Therapy, Highly Active, INDIVIDUALIZED THERAPY
- Trial name
- NCT07219862
- Testing
- smART (Smart Antiretroviral Therapy Assistant), Traditional Prescribing resources
- Where
- United States
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Keck School of Medicine of USC