Clinical trials: Decision Support System
HIV I Infection
Charlotte Retention in Care Study
The objective of the Charlotte Retention in Care study is to assess if clinical decision support systems (CDSS) that produce standardized alerts for measures of retention in care across clinics in the city of Charlotte, North…
- Trial name
- NCT03584048
- Testing
- Alert to provider
- Where
- 4 sites in United States
- Volunteers
- 6,500 people
- Sponsor
- Epividian
Depression - Major Depressive Disorder, Anxiety
Singula Phase 0.1 Primary Care Pilot
This prospective, single-arm, observational pilot study evaluates a clinical decision support system developed by Singula Health for use in primary care.
- Trial name
- NCT07834684
- Where
- 2 sites in United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Singula Health, Inc.
Ischemic Stroke
Evaluation of Clinical Decision Support System for Scoring of ASPECT Score Using Brain CT Images
cASPECTS is a software that has been pre-learned based on ASPECTS Score of ischemic stroke patients using brain CT images, and clinical decision support system for scoring ASPECTS score by automatically analyzing brain CT images…
- Trial name
- NCT04983927
- Testing
- cASPECTS
- Where
- South Korea
- Volunteers
- 326 people
- Sponsor
- Heuron Inc.
Non-Small Cell Lung Cancer, Small Cell Lung Cancer
Multi-Indication, Retrospective Oncological Study to Validate the Accuracy in Predicting TTP by PrediCare in Patients Under SOC
This is a retrospective observational, open label study to evaluate and prospectively validate in a blind manner the accuracy of predicting treatment outcomes by PrediCare in individual patients with Non-Small Cell Lung Cancer…
- Conditions
- Non-Small Cell Lung Cancer, Small Cell Lung Cancer, Prostate Cancer, Breast Cancer
- Trial name
- NCT02577627
- Testing
- PrediCare
- Where
- Israel
- Volunteers
- 5,000 people
- Sponsor
- Optimata Ltd.
Diagnostic Techniques and Procedures, Clinical Laboratory Techniques
Clinical Validation of an Artificial Intelligence System for the Interpretation of Laboratory Test Results Combined With a Structured Medical History
This study evaluates a certified artificial intelligence (AI) based software system that automatically interprets laboratory test results in combination with a structured, dynamically generated medical history questionnaire.
- Conditions
- Diagnostic Techniques and Procedures, Clinical Laboratory Techniques, Triage
- Trial name
- LTC-VALID (NCT07810491)
- Testing
- AI-based laboratory result interpretation software
- Where
- 2 sites in Poland
- Volunteers
- 899 people
- Sponsor
- Labplus Sp. z o.o.
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
Cardiovascular Diseases, Cardiovascular Diseases Risk
Cor360: Clinician-Facing Broad-Spectrum Cardiac Phenotyping and Risk Assessment Using COR® Wearable ECG to Inform Outcomes-Oriented Care Pathways
Cor360 is an observational study evaluating whether extended wearable electrocardiogram (ECG) data can support broad-spectrum cardiac phenotyping and risk assessment beyond conventional single-purpose ambulatory rhythm…
- Conditions
- Cardiovascular Diseases, Cardiovascular Diseases Risk, Cardiac Conduction System Disease, Bundle/Fascicular Abnormalities
- Trial name
- Cor360 (NCT07775976)
- Testing
- COR Wearable ECG Monitoring, Cor360 Clinician-Facing Decision-Aid Reporting
- Where
- 2 sites in United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Peerbridge Health, Inc
Sepsis
Integration of NAVOY® Sepsis in an Electronic Health Record System
The study aims to evaluate the performance of NAVOY® Sepsis in predicting the sepsis risk in adult ICU patients. Data collection is performed via automatic retrieval from the electronic health record system to AlgoDx proprietary…
- Trial name
- GENIUS (NCT05095220)
- Where
- Sweden
- Volunteers
- 1,000 people
- Sponsor
- AlgoDx
Intraoperative Hypotension
Feasibility Study of E-Fusion Vasopressor Titration-Assist During Multi-Level Spine Surgery
This is a single-arm feasibility study of E-Fusion Vasopressor Titration-Assist, a clinical decision support software, in 10 adults undergoing multi-level spine surgery.
- Trial name
- NCT07840937
- Testing
- E-Fusion Vasopressor Titration-Assist
- Where
- United States
- Volunteers
- 10 people
- Sponsor
- Autonomous Healthcare, Inc.
Prostate Cancer, Prostate Cancer Screening Decision
Clinical Utility of ClarityDX Prostate
ClarityDX Prostate builds upon the utility of total and free PSA as well as simple clinical features in a decision support model to determine a patient's risk of having clinically significant prostate cancer.
- Conditions
- Prostate Cancer, Prostate Cancer Screening Decision, Prostate Cancer Screening
- Trial name
- NCT06678828
- Testing
- ClarityDX Prostate, ClarityDX Prostate, blinded
- Where
- 5 sites in Canada
- Volunteers
- 1,450 people
- Sponsor
- Nanostics
Infertility
An Advanced Decision Support Tool, Opt-IVF for Clinical Ivf Practice
Aim: A Clinical trial to determine the effectiveness of using the proposed decision support tool for each patient's customized optimal drug dosage profile.
- Trial name
- NCT05564702
- Testing
- traditional drug treatment, Opt-IVF predicted dosage
- Where
- India
- Volunteers
- 93 people, healthy volunteers welcome
- Sponsor
- Stochastic Research Technologies LLC
Fever, Acute Pain
Using a Decision-making System to Support the Management of Fever and Acute Pain in Children
FEVER is a single-center, prospective, open-label, pre-market, pivotal, single-arm study aimed at demonstrating how the use of an algorithm integrated with a Class I Medical Device (Puntofarma®), which is made available through a…
- Trial name
- FEVER (NCT07344090)
- Testing
- Puntofarma® FEVER
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- Qwince Innovation S.r.l.
Traumatic Brain Hemorrhage
SAFETY: Stabilization Points to Third Hospital Line Assessment oF the Impact of the usE of Infrascanner Model 2500 to Provide Decision Support for Diagnosis/Screening of Traumatic Brain InjurY in Ukraine
The Infrascanner model 2500 is a handheld, noninvasive device that is FDA-cleared to detect traumatic intracranial hematomas. FDA clearance K200203 was issued in 2020, K211617 added pediatric age group to the IFU in 2022, and…
- Trial name
- SAFETY (NCT07014748)
- Testing
- Handheld brain hematoma detector
- Where
- 4 sites in United States, Ukraine
- Volunteers
- 600 people
- Sponsor
- InfraScan, Inc.
Diabetes Type 1, Diabetes Type 2 on Insulin
EkiYou-Study-2 : A National Multicentric Trial of the EkiYou Application for Insulin Bolus Calculation
EkiYou-Study-2 is an interventional multicenter randomised controlled clinical investigation according to EU 2017/745. It is conducted in 154 adults with diabetes and treated by multiple daily insulin injections that will be…
- Conditions
- Diabetes Type 1, Diabetes Type 2 on Insulin, Pancreatogenous Diabetes
- Trial name
- NCT06738849
- Testing
- EkiYou V2
- Where
- 16 sites in France
- Volunteers
- 154 people
- Sponsor
- DiappyMed
Brain Metastases
Evaluation of Clinical Decision Support System for Brain Metastasis Using Brain MR Images
BT-M01 is a software that has been pre-learned based on a brain metastasis detection model using brain MR images, and clinical decision support system for brain metastasis by automatically analyzing brain MR images by assisting…
- Trial name
- NCT05573815
- Testing
- BT-M01
- Where
- South Korea
- Volunteers
- 558 people
- Sponsor
- Heuron Inc.
Nutritional Support
Interpretation and Optimization of Nutrition in the Intensive Care Units
Despite recommendations, inadequate nutritional intake in intensive care unit (ICU) patients remains frequent and can lead to complications such as infections, increased length of stay, prolonged weaning from ventilation…
- Trial name
- IONIC (NCT06342895)
- Testing
- Nutritional support prescription and delivery monitoring feedback, Usual care
- Where
- France
- Volunteers
- 144 people
- Sponsor
- Dim3
Ivf
Opt-IVF for Personalized Medicine for Normal Responders
A clinical trial will determine the effectiveness of the Opt-IVF decision-support tool in generating personalized, optimal drug-dosage profiles for each patient in the United States.
- Trial name
- NCT07856082
- Testing
- Opt-IVF, control
- Where
- United States
- Volunteers
- 100 people
- Sponsor
- Urmila DIwekar
Substance Abuse
A Clinical Decision Support Tool for Electronic Health Records
For behavioral health clinicians who are interested in getting tailored treatment and level of care recommendations, "BH-CDS" is a desktop/tablet web-based application that provides clinicians with data and a rationale for better…
- Trial name
- BHCDS (NCT02697643)
- Testing
- BHCDS-based recommendations, Non-tailored recommendations
- Where
- United States
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- Inflexxion, Inc.
Infertility (IVF Patients)
An Advanced Decision Support Tool for Personalized Medicine for IVF Using Modeling and Optimization for Provera
A clinical trial will determine the effectiveness of using the Opt-IVF decision support tool for each patient's personalized and optimal drug dosage profile in the United States.
- Trial name
- NCT07148999
- Testing
- Opt-IVF, Control
- Where
- 2 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Urmila DIwekar
Acute Kidney Injury, Intensive Care
The Cost-effectiveness of Artificial Intelligence Acute Kidney Injury Prediction Auxiliary Software (Acura AKI)
"Huede" AI Aided AKI Prediction Software, Acura AKI, uses machine learning algorithms to predict the risk of AKI within the next 24 hours and provide a ranking of feature importance.
- Conditions
- Acute Kidney Injury, Intensive Care, Renal Replacement Therapy
- Trial name
- NCT06685367
- Testing
- Acura AKI
- Where
- Taiwan
- Volunteers
- 3,600 people
- Sponsor
- Huede Healthtech Co., Ltd.