Clinical trials: Machine Learning
Genetic Disease, Neurogenetic Disorders
Pediatric Neurogenetic Diagnosis Support Platform
This study evaluates a diagnostic support platform, DIAGEN-IA, designed to identify pediatric neurological diseases with a genetic basis.
- Trial name
- DIAGEN-IA (NCT06725901)
- Testing
- Web-Based Application
- Where
- Chile
- Volunteers
- 9 people, healthy volunteers welcome
- Sponsor
- Universidad Nacional Andres Bello
Early-Stage Lung Cancer
Detection of Lung Cancer by Plasma Lipids
There are no reliable blood-based tests currently available for early-stage lung cancer diagnosis. We try to establish a highly accurate method for detecting early-stage lung cancer by combining machine learning with untargeted…
- Trial name
- ELAID (NCT04287712)
- Testing
- Plasma lipids
- Where
- China
- Volunteers
- 558 people, healthy volunteers welcome
- Sponsor
- Peking University People's Hospital
Health Services Accessibility, Rural Health
Health Ahead Comparative Effectiveness Study
The Health Ahead Comparative Effectiveness Study is a pragmatic, parallel-arm interventional platform that systematically compares successive changes to preventive health screening on the path toward a fully automated screening…
- Conditions
- Health Services Accessibility, Rural Health, Medically Underserved Area, Preventive Health Services
- Trial name
- HACE (NCT07669168)
- Testing
- AI-Assisted Screening Interpretation (AI Reads), Human-Only Screening Interpretation
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- William Brandenburg, MD
Head and Neck Squamous Cell Carcinoma
Intensive Symptom Surveillance Guided by Machine Learning-Directed Risk Stratification in Patients With Non-Metastatic Head and Neck Cancer, The INSIGHT Trial
This clinical trial compares intensive symptom evaluation with supportive care to standard symptom management in patients with head and neck cancer that has not spread to other places in the body (non-metastatic).
- Trial name
- NCT05338905
- Testing
- Palliative Therapy, Quality-of-Life Assessment, Questionnaire Administration
- Where
- United States
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Roswell Park Cancer Institute
Tobacco Smoking
Developing Smokers for Smoker (S4S): A Collective Intelligence Tailoring System
This study will advance computer tailoring by adapting machine learning collective intelligence algorithms that have been used outside healthcare by companies like Amazon and Google to enhance the personal relevance of the health…
- Trial name
- S4S (NCT02265354)
- Testing
- Collective-Intelligence computer tailored health communication, Rule-based computer tailored health communication
- Where
- United States
- Volunteers
- 260 people, healthy volunteers welcome
- Sponsor
- University of Massachusetts, Worcester
Left Ventricular Dysfunction, Ventricular Dysfunction
Low Ejection Fraction in Single Lead ECG
The purpose of this research is to prospectively test and validate the single-lead Low EF algorithm in outpatients in order to test the performance of a single-lead ECG based algorithm to identify people with decreased left…
- Conditions
- Left Ventricular Dysfunction, Ventricular Dysfunction, Heart Diseases, Cardiovascular Diseases
- Trial name
- NCT05010655
- Testing
- Use of Eko DUO Electronic Stethoscope
- Where
- 2 sites in United States
- Volunteers
- 1,935 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Wearable Devices
Wearable Sensors and Machine Learning for the Assessment of Biomechanical Risk in Lifting Tasks
Lifting loads can cause work-related musculoskeletal disorders. The National Institute for Occupational Safety and Health (NIOSH) established a methodology for assessing lifting actions by means of a quantitative method based on…
- Trial name
- NCT05777304
- Testing
- wearable device
- Volunteers
- 41 people, healthy volunteers welcome
- Sponsor
- Istituti Clinici Scientifici Maugeri SpA
Cholecystitis, Cholelithiasis
Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Phases in Laparoscopic Cholecystectomy
The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons.
- Conditions
- Cholecystitis, Cholelithiasis, Biliary Dyskinesia
- Trial name
- NCT05775133
- Testing
- ICG
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Activ Surgical
Alzheimer Disease, Preclinical Alzheimer's Disease
Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech - FUTURE Extension
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech, can predict change in PACC5 between baseline and +12 month follow up across all four Arms, as…
- Conditions
- Alzheimer Disease, Preclinical Alzheimer's Disease, Prodromal Alzheimer's Disease, Alzheimer's Disease (Incl Subtypes)
- Trial name
- AMYPRED-FUTURE (NCT04846426)
- Where
- 4 sites in United Kingdom
- Volunteers
- 67 people, healthy volunteers welcome
- Sponsor
- Novoic Limited
Cancer, Lung, Cancer Liver
PixelShine vs. Iterative Reconstruction (IR) Processing of CT Images
This study will compare the quality of CT images acquired with very low-dose radiation and processed with commercially available software vs. PixelShine processed images.
- Conditions
- Cancer, Lung, Cancer Liver, X-rays; Effects
- Trial name
- NCT03033615
- Testing
- PixelShine, Conventional processing
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- AlgoMedica, Inc.
Emergency Medical Services, Critical Illness
Development of an AI-based Emergency Imaging Multi-Disease Rapid Joint Screening System
Introduction: Early and rapid diagnosis of etiology is often an important part of saving the lives of patients in emergency department.
- Conditions
- Emergency Medical Services, Critical Illness, Emergency Service, Hospital, Machine Learning
- Trial name
- Al-MDS (NCT05974163)
- Testing
- radiomic of CT
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Dental Anxiety in Children
AI-Assisted Evaluation of Dental Anxiety in Children: A Machine Learning Approach
This observational study evaluated whether children's dental anxiety could be identified from their speech using artificial intelligence and machine learning methods.
- Trial name
- NCT07797777
- Testing
- Multimodal Speech-Based Dental Anxiety Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 262 people, healthy volunteers welcome
- Sponsor
- Marmara University
Alzheimer Disease, Preclinical Alzheimer's Disease
Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, as measured…
- Conditions
- Alzheimer Disease, Preclinical Alzheimer's Disease, Prodromal Alzheimer's Disease, Alzheimer's Disease (Incl Subtypes)
- Trial name
- AMYPRED (NCT04828122)
- Where
- 4 sites in United Kingdom
- Volunteers
- 141 people, healthy volunteers welcome
- Sponsor
- Novoic Limited
Hypospadias
Identification of Hypospadias Parameters Using Digital Photography and Artificial Intelligence
The goal of this observational study is to develop and validate a digital pattern recognition system based on artificial neural network to determine various parameters in hypospadias.
- Trial name
- ASHOKA (NCT05569863)
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Universitas Indonesia
Postpartum Depression (PPD), Postpartum Anxiety
AI-Enabled Wearable Monitoring for Detection of Postpartum Depression and Anxiety
The goal of this observational study is to examine whether passively collected wearable data can be used to predict onset and severity of postpartum depression and anxiety symptoms. The main questions it aims to answer are: 1.
- Trial name
- NCT07866053
- Where
- United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University of Hawaii
Alzheimer's Disease
Development of Multimodal Fusion Warning System and Non-invasive Techniques for Early Alzheimer's Detection.
Developing and validating an early digitalized recognition device and multimodal warning model for Alzheimer's disease, and establishing a precision transcranial ultrasound stimulation intervention system.
- Trial name
- NCT05978830
- Testing
- Transcranial ultrasound stimulation
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital of Zhejiang University
Otitis Media Acute
Otitis Treatment With OtoSight™ - Modification of Antibiotic Treatment Intervention in Children
A pragmatic, mixed-method trial is to show the ability of OtoSight to change management of the pediatric patient presenting with ear pain in a way that improves patient outcomes and reduces costs.
- Trial name
- OTO-MATIC (NCT06285812)
- Testing
- OtoSight Middle Ear Scope
- Where
- 7 sites in United States
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- PhotoniCare, Inc.
Physical Activity, Sedentary Lifestyle
Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity
The majority of the US population spends most of the day sitting and the we have new scientific evidence that this can contribute to poor health regardless of how much physical activity a person does.
- Trial name
- iWatch (NCT01775826)
- Testing
- Measurement
- Where
- United States
- Volunteers
- 225 people, healthy volunteers welcome
- Sponsor
- University of California, San Diego
Dental Prosthesis
Artificial Intelligence Designed Single Tooth Dental Prostheses
Tooth loss is common and as consequence deteriorate patient's health and quality-of-life. Dental prostheses aim to restore patients' appearance and functions by replacement of missing teeth.
- Trial name
- NCT05056948
- Testing
- artificial intelligence (AI) computer assisted design (CAD)
- Where
- Hong Kong
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Atrial Fibrillation, Heart Failure, Systolic
Machine Learning Enabled Time Series Analysis in Medicine
The goal of this observational cohort study is to investigate the potential of fitness trackers in combination with machine learning algorithms to identify cardiovascular disease specific patterns.
- Trial name
- ME-TIME (NCT05802563)
- Testing
- fitness tracker
- Where
- Netherlands
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- HagaZiekenhuis