Clinical trials: Clinical Decision Support, active
Intracranial Aneurysms, Unruptured Intracranial Aneurysm
ANEURYSM@RISK: Automatic Intracranial Aneurysm Quantification and Feature Learning Modelling to Optimize Intracranial Aneurysm Rupture Prediction
ANEURYSM@RISK is an observational study aiming to develop and validate an artificial intelligence (AI)-based prediction model for the growth and rupture of intracranial aneurysms (IAs).
- Conditions
- Intracranial Aneurysms, Unruptured Intracranial Aneurysm, Subarachnoid Hemorrhage (SAH) From Ruptured Aneurysm
- Trial name
- NCT07111975
- Where
- Netherlands
- Volunteers
- 3,800 people
- Sponsor
- UMC Utrecht
Acute Kidney Injury, Surgery Complications
Real-Time Acute Kidney Injury Perioperative Prediction Clinical Trial
This investigator-initiated, pragmatic trial evaluates whether displaying a machine learning (ML)- derived perioperative AKI risk score-alone or paired with an interruptive Best/Our Practice Advisory (BPA/OPA)-improves…
- Conditions
- Acute Kidney Injury, Surgery Complications, Anesthesia
- Trial name
- ML-AKI (NCT07604662)
- Testing
- EHR-Embedded AKI Risk Score, EHR-Embedded AKI Risk Score with Best Practice Advisory
- Where
- United States
- Volunteers
- 25,518 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
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
Acute Coronary Syndromes, ST Elevation Myocardial Infarction
Smartphone AI Assistance for Prehospital ECG Interpretation
Prehospital providers interpret 12-lead electrocardiograms (ECGs) under time pressure and without immediate expert support. Missed acute coronary occlusion - occlusion myocardial infarction (OMI) - delays reperfusion, while false…
- Conditions
- Acute Coronary Syndromes, ST Elevation Myocardial Infarction, Non-ST Elevated Myocardial Infarction, Myocardial Infarction (MI)
- Trial name
- ECG-IA (NCT07810686)
- Testing
- Smartphone large language model assistance (GPT-4o, version-locked)
- Where
- Switzerland
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- École Supérieure de Soins Ambulanciers - College of Higher Education in Prehospital Care
Non-communicable Diseases (NCD)
Enabling Environments for Non-communicable Disease Risk Reduction in Ethiopia
The ENABLE study focuses on pregnant women attending routine antenatal care (ANC) in urban primary health care facilities in four Ethiopian cities.
- Trial name
- ENABLE (NCT07442318)
- Testing
- Structured lifestyle counseling integrated into ANC, Standard routine ANC
- Where
- 4 sites in Ethiopia
- Volunteers
- 1,268 people, healthy volunteers welcome
- Sponsor
- Norwegian Institute of Public Health
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
HIV
Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing
Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the U.S. initiative to end the HIV epidemic, but healthcare providers lack tools to support PrEP discussions and prescribing for patients likely to benefit.
- Trial name
- PrEDICT (NCT06805877)
- Testing
- Predictive Analytics and Clinical Decision Support
- Where
- 16 sites in United States
- Volunteers
- 16 people
- Sponsor
- Harvard Pilgrim Health Care
Serious Mental Illness, Type 2 Diabetes
MetSense Pilot and Feasibility
People with serious mental illness have high risk for type 2 diabetes due to multiple risk factors, including the metabolic side effects of psychotropic medications that are used to treat these conditions.
- Trial name
- MetSenseP&F (NCT07264062)
- Testing
- MetSense Risk Flag, Usual Care
- Where
- United States
- Volunteers
- 20,000 people
- Sponsor
- Kaiser Permanente
Depression
Implementation of Problem-Solving Treatment in Community Health Centers (PST-Aid)
Although evidence-based clinical interventions (CI) are a preferred treatment option for patients with depression, CIs are rarely available in community primary care settings.
- Trial name
- NCT06494384
- Testing
- Problem Solving Treatment as usual (PST as usual), Problem Solving Treatment Aid (PST-Aid)
- Where
- United States
- Volunteers
- 410 people
- Sponsor
- University of Washington
Surgery
AI-driven Clinical Decision Support for Perioperative Blood Orders
20 million patients have surgery in the United States every year, with approximately 1 million of those patients requiring life-saving blood transfusion.
- Trial name
- SPATH (NCT07223853)
- Testing
- S-PATH clinical decision support system, Usual care
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Washington University School of Medicine
Coronary Artery Disease
Heart tEam Decision-making Assisted by Revaz AI Trial
Coronary artery disease, the narrowing of the blood vessels that supply the heart, is the leading cause of death worldwide. About 2.4 million Canadian adults live with it.
- Trial name
- HEART-AI (NCT07837765)
- Testing
- Revaz AI
- Where
- 2 sites in Canada
- Volunteers
- 712 people
- Sponsor
- University of Calgary
Adolescent Idiopathic Scoliosis (AIS)
Validation of the Clinical Decision Support Systems (CDSS) Developed in the EU Horizon PREPARE Project in the Rehabilitative Treatment of Idiopathic Scoliosis
The study aims to validate both the predictive capacity and the clinical usability of the Clinical Decision Support System (CDSS) developed within the PREPARE project (European Union Grant Agreement 101080288 PREPARE…
- Trial name
- PREPARE (NCT07379593)
- Testing
- CDSS simulation, Focus group - clinicians, Focus group - patients
- Where
- Italy
- Volunteers
- 178 people, healthy volunteers welcome
- Sponsor
- Istituto Scientifico Italiano Colonna Vertebrale
Breast Neoplasms, Lung Neoplasms
Benchmarking Large Language Models Against Tumour Boards for Oncology Treatment Recommendations
BEACON (Benchmarking AI for Clinical Oncology decisioNmaking) is a prospective, multicentre, comparative, blinded, non-interventional benchmark comparing the treatment recommendations of six frontier large language models (LLMs)…
- Conditions
- Breast Neoplasms, Lung Neoplasms, Urologic Neoplasms, Prostatic Neoplasms
- Trial name
- BEACON (NCT07739121)
- Testing
- Multidisciplinary tumour boards, Frontier large language models
- Where
- 5 sites in France
- Volunteers
- 100 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Localised Prostate Cancer
BeSpoke Decision Support for Patients With Newly Diagnosed Localised Prostate Cancer
The goal of this randomised clinical trial is to assess whether personalised treatment counselling can improve the decision-making experience in patients with a new diagnosis of localised prostate cancer.
- Trial name
- BeSpoke (NCT07135271)
- Testing
- Bespoke Decision Support tool, Standard of Care (SOC) decision support material
- Where
- United Kingdom
- Volunteers
- 346 people
- Sponsor
- University College, London
Pain Measurement, Chronic Pain
Evaluation of Chronic Postsurgical Pain Risk in Patients Undergoing CIED Implantation Using an AID Support System
Chronic postsurgical pain (CPSP) remains a significant clinical and public health challenge despite major advances in surgical and anesthetic techniques.
- Conditions
- Pain Measurement, Chronic Pain, Cardiac Implantable Electrical Devices, Neuropathic Pain
- Trial name
- PAIN-AID (NCT07322900)
- Volunteers
- 180 people
- Sponsor
- Istanbul University - Cerrahpasa
Medical Malpractice, Artificial Intelligence in Medicine
The Impact of AI-Assisted Diagnosis and Treatment on Physicians' Potential Legal Liability: An Expert Perspective
The goal of this randomized vignette-based experiment is to investigate how AI-related contextual factors influence expert assessment of physician negligence in AI-assisted diagnosis and treatment scenarios among experts in…
- Conditions
- Medical Malpractice, Artificial Intelligence in Medicine, Clinical Decision-Making
- Trial name
- NCT07869303
- Testing
- General AI With a Standard-of-Care Recommendation, General AI With a Non-Standard-of-Care Recommendation, Expert AI With a Standard-of-Care Recommendation
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Xie Xiaoyun
Pressure Injury
Explainable AI for Prospective Pressure Injury Staging
This prospective observational mixed-methods study aims to develop and evaluate an explainable artificial intelligence model for staging pressure injuries using standardized clinical photographs and expert panel-labeled images…
- Trial name
- NCT07891689
- Where
- Turkey (Türkiye)
- Volunteers
- 415 people
- Sponsor
- hatice akaltun
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
Wound Complication, Wound Care
Using WoundPilot to Support Wound Care Decisions in Patients With Chronic Wounds
This study evaluates whether a digital decision support tool, called WoundPilot, can help primary care nurses make more accurate and consistent decisions when caring for patients with chronic wounds.
- Conditions
- Wound Complication, Wound Care, Wound and Injuries
- Trial name
- NCT07562269
- Testing
- WoundPilot
- Where
- Belgium
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- University Ghent
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