Clinical trials: Algorithms
Polypharmacy Patients
Assessment of a Novel Algorithm System for Polypharmacy Patient Medication Safety and Consultation
The aim of this study is to determine if insights based on the analysis of historical data of multidrug patients' electronic health records, by a novel system and algorithm, is noninferior to a clinical pharmacist analysis and…
- Trial name
- NCT05589870
- Testing
- Multi-drug analysis of polypharmacy treatment
- Where
- Israel
- Volunteers
- 91 people
- Sponsor
- MDI Health
Hemodynamic
A PREDICTIVE ALGORITHM IN AORTIC SURGERY
We will enroll patients scheduled for abdominal aortic aneurysm repair and divide in two groups; in the control group the hemodynamic optimization will be made based on standard cardiovascular parameters showed in the Hemosphere…
- Trial name
- HYVAS (NCT06984302)
- Testing
- proactive therapy
- Where
- Italy
- Volunteers
- 80 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Infertility, Polycystic Ovary Syndrome
A New Algorithm to Predict Ovarian Age
To collect data of clinical, biochemical and 3D-ultrasonographic parameters of a population of fertile women aged 18-55 in order to design a new algorithm able to predict ovarian age and to evaluate the reliability of a…
- Conditions
- Infertility, Polycystic Ovary Syndrome, Premature Ovarian Failure (POF), Ovarian Cysts
- Trial name
- OvAge (NCT02086318)
- Testing
- OvAge assessment
- Where
- Italy
- Volunteers
- 720 people, healthy volunteers welcome
- Sponsor
- University Magna Graecia
PTSD - Post Traumatic Stress Disorder, Trauma-related Nightmares
Validation of an Algorithm for Predicting Awakenings Associated With Trauma-related Nightmares, Based on the Analysis of Physiological Patterns in Military and Former Military Patients Suffering From Post-traumatic Stress Disorder
The goal of this clinical trial is to validate an artificial intelligence algorithm called CAUD-PIN (CAUchemar Detection on INdividualized Parameters) to predict nightmare-related awakenings in military personnel and veterans…
- Trial name
- CAUD-PIN (NCT07851480)
- Testing
- CAUD-PIN (CAUchemar Detection on INdividualized Parameters) - AI-based predictive algorithm forTrauma-related nightmare awakenings
- Where
- 3 sites in France
- Volunteers
- 27 people
- Sponsor
- Direction Centrale du Service de Santé des Armées
Length Based Weight Estimation
Evaluation of an Algorithm for Length Based Weight Estimation
The purpose of this prospective single center study is to investigate if a developed algorithm is more accurate than the pediatric emergency tape (Alpha 1 Werbedesign e.K., Falkenberg, Germany).
- Trial name
- NCT02480413
- Testing
- Accuracy of an algorithm and the pediatric emergency tape.
- Where
- Switzerland
- Volunteers
- 492 people, healthy volunteers welcome
- Sponsor
- University Children's Hospital, Zurich
Pneumonia Childhood
Severe Pneumonia Diagnostic in Pediatric Population by Lung Ultrasonography and Procalcitonin
Lung ultrasound (LUS) in combination with a biomarker has not yet been studied. The investigators propose a clinical trial where the primary aims are: 1.
- Trial name
- PROLUSP (NCT04217980)
- Testing
- Lung ultrasonography (LUS) or Chest X ray (CXR)
- Where
- 2 sites in Spain
- Volunteers
- 202 people
- Sponsor
- Fundació Sant Joan de Déu
Non-melanoma Skin Cancer
DERM NMSC Validation Study
This study aims to establish the effectiveness of an Artificial Intelligence (AI) algorithm (DERM) to determine the presence of Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC) and frequently observed benign…
- Trial name
- NCT04116983
- Testing
- Deep Ensemble for the Recognition of Malignancy (DERM)
- Where
- 3 sites in United Kingdom
- Volunteers
- 572 people
- Sponsor
- Skin Analytics Limited
Sleep-Disordered Breathing, Sleep Architecture
Validation of Belun Ring Gen3 Deep Learning Algorithms With Subxiphoid Body Sensor
Hypothesis: BR's Gen3 DL algorithms, combined with its subxiphoid body sensor, can accurately diagnose OSA, categorize its severity, identify REM OSA and supine OSA, and detect central sleep apnea (CSA).
- Conditions
- Sleep-Disordered Breathing, Sleep Architecture, Arrhythmia
- Trial name
- NCT06255613
- Testing
- Belun Ring, Belun Cor
- Where
- 2 sites in United States
- Volunteers
- 79 people
- Sponsor
- Belun Technology Company Limited
Epilepsy
Development of a Seizure Detection Algorithm Based on Heart Rate and Movement Analysis
Epilepsy is the 3rd neurological pathology after migraines and dementia syndromes with a high estimate of nearly 600,000 people affected in France.
- Trial name
- DetecTeppe (NCT05637762)
- Testing
- - EEG video recording or extension of an EEG video recording planned as part of the care - Wearing a connected heart rate and motion recording patch
- Where
- France
- Volunteers
- 13 people
- Sponsor
- Fondation Ophtalmologique Adolphe de Rothschild
Secondary Cholangitis, Bile Duct Strictures of Unknown Origin
Biliary Candidiasis - Optimization of Diagnostics and Therapy
Biliary obstruction and cholangitis are common problems in gastroenterology and need specific therapeutic interventions. Besides a variety of potential causes, infections of the biliary tract with Candida and other fungal species…
- Trial name
- NCT01109550
- Testing
- ERCP
- Where
- Germany
- Volunteers
- 123 people
- Sponsor
- University Hospital Muenster
Hemodialysis, Type1diabetes
Improved Glycemic Control in Diabetic Patients in Hemodialysis Using Continuous Glucose Monitoring (CGM)
The 16-week trial is an open-label cross-over trial which includes heamodialysis patients with T2D and T1D on insulin therapy. During one period, patients carry a non-blinded CGM.
- Conditions
- Hemodialysis, Type1diabetes, Type2Diabetes
- Trial name
- NCT05678712
- Testing
- Access to CGM data (Dexcom G6)
- Where
- Denmark
- Volunteers
- 23 people
- Sponsor
- Aalborg University Hospital
Cardiovascular Diseases
Validation of an Algorithm to Predict the Ventilatory Threshold
The aim of the current study was to develop an algorithm which has the ability to accurately predict the first and second ventilatory threshold and in cardiovascular disease patients and to guide in proper exercise intensity…
- Trial name
- NCT04929431
- Where
- Belgium
- Volunteers
- 3,000 people
- Sponsor
- Hasselt University
Type 1 Diabetes, Insulin Therapy
Study on the Use of the Insulin Pump Tandem X:2 With Control IQ Algorithm - Update
The aim of this observational clinical trial is to obtain data on the safety, efficacy and satisfaction of the Tandem T:Slim X:2 Pump System in patients with type 1 diabetes.
- Trial name
- UNIQUE (NCT05118945)
- Testing
- Insulin pump Tandem: t:slim X2
- Where
- Germany
- Volunteers
- 50 people
- Sponsor
- Kinderkrankenhaus auf der Bult
Spleen Injury, Machine Learning
Deep Learning Algorithm for Traumatic Splenic Injury Detection and Sequential Localization
Spleen laceration is a lethal abdominal trauma and usually be diagnosed by medical images such as computed tomography. Deep learning had been proved its usage in detect abnormalities in medical images.
- Trial name
- NCT05643612
- Testing
- Deep learning algorithm
- Where
- Taiwan
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Chang Gung Memorial Hospital
HIV Infections
Non-virologic Methods to Diagnose Treatment Eligibility in HIV-exposed Infants
This study is designed to develop and evaluate a set of non-virologic diagnostic algorithms to monitor HIV-exposed children of unknown infection status for treatment eligibility during the first year of life.
- Trial name
- IDX (NCT01222130)
- Where
- 3 sites in Zambia
- Volunteers
- 1,126 people
- Sponsor
- University of North Carolina, Chapel Hill
Hearing Loss
Evaluation of New Feedback Canceller for Carina™ Implant
The purpose of this study is to evaluate audio quality benefit for the patient implanted with a Cochlear or Otologics Carina implant with the new firmware (feedback canceller algorithm) whatever the patient environment is and to…
- Trial name
- NCT02309541
- Testing
- feedback canceller algorithm (Firmware)
- Where
- 3 sites in France
- Volunteers
- 12 people
- Sponsor
- Cochlear
Atrial Fibrillation
A Study to Assess the Effectiveness of an Atrial Fibrillation (AF) Risk Prediction Algorithm and Diagnostic Test in Identifying Patients With AF.
This is a trial to assess the effectiveness of an atrial fibrillation (AF) risk prediction algorithm and diagnostic test for the identification of patients with atrial fibrillation
- Trial name
- PULsE AI (NCT04045639)
- Where
- 6 sites in United Kingdom
- Volunteers
- 260 people
- Sponsor
- Bristol-Myers Squibb
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction (ADOPTS)
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function.
- Trial name
- ADOPTS (NCT05641675)
- Testing
- right heart catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
Lymphedema, Breast Cancer
An Integrated Algorithm for Surgical Intervention in Chronic Lymphedema After Breast Cancer Treatment: The Basel Lymphedema Protocol
The primary objective of the investigators is to develop an integrated algorithm for surgical treatment of chronic lymphedema after breast cancer surgery.
- Trial name
- NCT06374745
- Where
- Switzerland
- Volunteers
- 500 people
- Sponsor
- University Hospital, Basel, Switzerland
Murmur, Heart, Innocent Murmurs
Real-World Evaluation of Eko Algorithms in a Point of Care Setting
The purpose of this research is to prospectively test and validate the utility of Eko artificial intelligence (AI) plus Eko Murmur Analysis Software (EMAS) murmur characterization in algorithm in a real world, point-of-care…
- Conditions
- Murmur, Heart, Innocent Murmurs, Heart Murmurs, Pathologic Murmur
- Trial name
- NCT05459545
- Testing
- Use of Eko CORE and Eko CORE 500 electronic stethoscope
- Where
- 5 sites in United States
- Volunteers
- 371 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.