Clinical trials: Novel Algorithm
Hearing Loss
Evaluation of a New mHealth Tympanometer
Children in rural and underserved communities experience a disproportionately high burden of infection-related hearing loss, which is often preventable with timely identification and follow-up care.
- Trial name
- NCT05666505
- Testing
- Prototype mHealth tympanometer, Standard of care commercial tympanometer
- Volunteers
- 39 people
- Sponsor
- University of Arkansas
Heart Arrest, Ventricular Fibrillation
AED Use in Out-of-Hospital Cardiac Arrest: A New Algorithm Named "One Shock Per Minute"
The aim of the trial is to evaluate a new AED algorithm that proposes a new timeline between the time devoted to administer a defibrillation shock, and the time devoted to chest compressions.
- Trial name
- DEFI2005 (NCT00139542)
- Testing
- One shock per minute AED protocol, Guidelines 2000 AED protocol
- Where
- France
- Volunteers
- 5,107 people
- Sponsor
- Fire Brigade Of Paris Emergency Medicine Dept
Patellofemoral Syndrome
The Evaluation of a Novel Treatment Algorithm for Patients With Patellofemoral Syndrome
Patients who are diagnosed with Patellofemoral Pain Syndrome (PFS) and present to our clinic will be offered the opportunity to participate in the study.
- Trial name
- PFSAlgorithm (NCT01767246)
- Testing
- PFS Algorithm treatment, Multimodal treatment
- Where
- 2 sites in United States
- Volunteers
- 30 people
- Sponsor
- Nationwide Children's Hospital
Cardiac Arrest, Sudden, Ventricular Tachycardia
Cardiopulmonary Resuscitation Performance of Professional Rescuers With a New Defibrillation Algorithm
In the Paris (France) Medical Emergency system, in the early phase of Out-of-hospital Cardiac Arrest (OHCA), the treatment of a Ventricular Fibrillation (VF) consists of delivering an External Electric Shock (EES) by a rescuer…
- Conditions
- Cardiac Arrest, Sudden, Ventricular Tachycardia, Ventricular Fibrillation, Sudden Cardiac Death
- Trial name
- DEFI-2022 (NCT04691089)
- Where
- France
- Volunteers
- 285 people
- Sponsor
- French Defence Health Service
Inflammatory Bowel Disease, Crohn Disease
Deep Endoscopic Remission Assessed by a Surrogate Biomarker in Patients With Inflammatory Bowel Disease
We hypothesize that the number of needed endoscopic procedure performed at IBD patients (adult and children), can be reduced by using an individualized algorithm of symptoms, blood and faecal biomarkers.
- Conditions
- Inflammatory Bowel Disease, Crohn Disease, Ulcerative Colitis
- Trial name
- NCT01861288
- Where
- Denmark
- Volunteers
- 157 people, healthy volunteers welcome
- Sponsor
- Herlev Hospital
Melanoma (Skin), Melanoma in Situ
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
The purpose of this study is to establish a standardized process for obtaining digital pathological image information of ocular tumors; use modern pathological techniques to obtain the co-expression information of multiple…
- Conditions
- Melanoma (Skin), Melanoma in Situ, Nevus Eye, Sebaceous Gland Carcinoma of the Eyelid
- Trial name
- NCT04695015
- Volunteers
- 100 people
- Sponsor
- Peking University
ADHD
A Comparative Study to Evaluate a Novel Algorithm As a Diagnostic Aid for ADHD in Youth Ages 6-17.
This study aims to demonstrate the accuracy of the MT1 algorithm using the MindTension biometric sensor device as a diagnostic aid for healthcare providers in diagnosing ADHD in youth ages ≥ 6 to ≤17 years.
- Trial name
- NCT06728969
- Testing
- MT1 Auditory startle response patterns analysis algorithm, T.O.V.A. Continuous Performance Test
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- MindTension
Atherosclerosis, Wounds and Injuries
Machine Learning for Handheld Vascular Studies
The use of handheld arterial 'stethoscopes' (continuous wave Doppler devices) are ubiquitous in clinical practice. However, most users have received no formal training in their use or the interpretation of the returned data.
- Trial name
- DopplerZAM (NCT02932176)
- Testing
- Non-invasive vascular testing, machine-learning algorithm
- Where
- United States
- Volunteers
- 155 people, healthy volunteers welcome
- Sponsor
- Duke University
Mechanical Ventilation, Sedation
Implementation of an Analgesia-sedation Algorithm in the Pediatric ICU to Reduce Benzodiazepine Use
The purpose of the study is to develop and implement an evidence-based analgesia-sedation algorithm in the pediatric intensive care unit (PICU) using quality improvement and implementation science methodology.
- Trial name
- NCT04263662
- Testing
- Analgesia-Sedation algorithm
- Where
- United States
- Volunteers
- 680 people
- Sponsor
- Boston Children's Hospital
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
Ovarian Diseases, Fertility Issues
A Novel Ovarian Reserve Monitoring Algorithm for Patients at Risk of Ovarian Injury From Gonadotoxic Therapy
This is an observational cohort study to examine the use of a novel proposed ovarian reserve monitoring algorithm to (1) identify patients who are at risk of DOR and POI from gonadotoxic therapy, (2) minimize time from treatment…
- Conditions
- Ovarian Diseases, Fertility Issues, Gonadal Disorders
- Trial name
- MA (NCT05048654)
- Sponsor
- University of Colorado, Denver
Acute Respiratory Tract Infection
Evaluation of an Algorithm to Reduce Antibiotic Prescribing for Acute Bronchitis
Inappropriate use of antibiotics to treat patients with acute bronchitis is a significant factor contributing to the selection of antimicrobial drug resistant pathogens, which threaten the effectiveness of available therapies to…
- Trial name
- NCT00981994
- Testing
- Decision Support for ARI Management
- Volunteers
- 3,300 people
- Sponsor
- University of Pennsylvania
Ovarian Cancer
Transforming Ovarian Cancer Diagnostic Pathways
The goal of this observational cohort study is to compare the diagnostic accuracy and cost effectiveness of Risk of Malignancy Algorithm (ROMA) compared with CA125 in the diagnosis of ovarian cancer in patients attending their…
- Trial name
- SONATA (NCT06129968)
- Where
- 3 sites in United Kingdom
- Volunteers
- 34,000 people
- Sponsor
- Professor Sudha Sundar
Deep Learning
A New Deep-learning Based Artificial Intelligence Iterative Reconstruction (AIIR) Algorithm in Low-dose Liver CT
CT-enhanced scans are routine imaging modality for the diagnosis and follow-up of liver disease. However, this means that patients will receive more radiation dose.
- Trial name
- NCT05550012
- Testing
- low-dose CT
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Qianfoshan Hospital
Type 2 Diabetes
Personalised Exercise Training in Adolescents With Type 2 Diabetes for the Early Prevention of Beta Cell Dysfunction
Exercise training is a key component in the prevention and treatment of various chronic diseases such as Type 2 diabetes (T2DM). Adaptations and effects that occur with exercise training differ according to exercise protocols.
- Trial name
- PT4DEEP (NCT05344768)
- Testing
- aerobic exercise, high-intensity interval exercise training, resistance exercise training
- Volunteers
- 120 people
- Sponsor
- Yasemin Çırak
Sickle Cell Anemia (HbSS), Sickle-β0-thalassemia (HbSβ0)
Effectiveness of Nontraditional Hydroxyurea Algorithms: Novel and Clinical Evaluations (ENHANCE)
The main reason for this research study is to learn more about hydroxyurea and the treatment of sickle cell anemia (SCA). Hydroxyurea is a medication that has been studied for many years and has been shown to provide benefits for…
- Trial name
- ENHANCE (NCT07177300)
- Testing
- PK-optimized oral hydroxyurea at MTD until 15 years of age.
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Children's Hospital Medical Center, Cincinnati
Malignant Solid Neoplasm, Hematopoietic and Lymphatic System Neoplasm
Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning
This study measures the utility of a novel artificial intelligence (AI) algorithm for performing auto-segmentation of computed tomography (CT) scans for radiation therapy planning.
- Trial name
- NCT06200116
- Testing
- Non-Interventional Study
- Where
- 7 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Mayo Clinic