Clinical trials: Deep Learning, open to volunteers
Heart Failure
Deep Learning-Based Automated Pressure-Strain Loop Analysis
Noninvasive left ventricular pressure-strain loop analysis estimates myocardial work from longitudinal strain, brachial systolic blood pressure, and cardiac valve-event timing.
- Trial name
- NCT07850726
- Testing
- Sustained Isometric Handgrip Exercise, Semi-Supine Bicycle Exercise
- Where
- Norway
- Volunteers
- 25 people, healthy volunteers welcome
- Sponsor
- Norwegian University of Science and Technology
Androgenetic Alopecia
Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study
The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and…
- Trial name
- NCT07294313
- Where
- Egypt
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Cairo University
Visual Function, Vision
Visual Function Screening System With Special Needs Children and Typical Preschoolers
The early visual screening of children plays a critical role in promoting visual development, especially for those with visual impairments.
- Conditions
- Visual Function, Vision, Special Needs Children
- Trial name
- NCT07081139
- Testing
- observational study, no interventional
- Where
- Taiwan
- Volunteers
- 1,300 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Aortic Stenosis
Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram Study
AoS-SEDAI study is an observational, multicenter, retrospective and prospective clinical study. This study aims to assess Willem Artificial Intelligence (AI) ability to distinguish between aortic stenosis (AS) and non-AS patients…
- Trial name
- AoS-SEDAI (NCT07479992)
- Testing
- Willem AI ECG assessment
- Where
- 2 sites in Germany
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Nursing, Artificial Intelligence (AI)
AI-Assisted Smart Interactive Healthcare Robot
To address workforce shortages and increasing workloads in nursing, technological solutions and AI-powered robots for ward navigation have been introduced. However, limitations remain in their application to clinical care.
- Conditions
- Nursing, Artificial Intelligence (AI), Deep Learning, Mechine Learning
- Trial name
- NCT06972043
- Testing
- Intervention Group
- Where
- Taiwan
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Heart Failure, Deep Learning
Artificial Intelligence in Detecting Cardiac Function
The Korotkoff Sounds（KS）, which have been in use for over a century, are widely regarded as the gold standard for measuring blood pressure.
- Trial name
- NCT06444425
- Where
- China
- Volunteers
- 685 people
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Cardiovascular Disease
Deep Learning of Retinal Photographs and Atherosclerotic Cardiovascular Disease
The research team has developed a deep learning algorithm that predicts anthropometric factors from fundus photographs and an algorithm that predicts cardiovascular disease risk.
- Trial name
- NCT04749927
- Where
- South Korea
- Volunteers
- 2,400 people, healthy volunteers welcome
- Sponsor
- Yonsei University
Rheumatic Heart Disease
Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection
The main goal of this project is to see if RADAR (Rapid AI-assisted Detection and Analysis of Rheumatic heart disease), which is a machine and deep-learning AI model, can help make rheumatic heart disease (RHD) screening easier…
- Trial name
- SHIELD 1 (NCT07599956)
- Testing
- AI assisted echocardiography
- Where
- Uganda
- Volunteers
- 62 people, healthy volunteers welcome
- Sponsor
- Children's Hospital Medical Center, Cincinnati
Thoracic Diseases, Lung Diseases
AI-Based Assessment of Chest Diseases on Chest X-ray Imaging Using DenseNet-121 and a CheXpert-Trained Model
Chest X-rays are widely used to detect thoracic and lung conditions, but reviewing high volumes of radiographs can lead to workload strain and variation between interpreters.
- Trial name
- NCT07834879
- Volunteers
- 100 people
- Sponsor
- Assiut University
Left Ventricular (LV) Systolic Dysfunction
AI-Enabled Electrocardiogram-Guided Guideline-Directed Medical Therapy on Incident Left Ventricular Dysfunction: A Target Trial Emulation Study
This multicenter retrospective study evaluates whether artificial intelligence-enabled electrocardiography (AI-ECG) can identify individuals at high risk for left ventricular dysfunction and whether targeted guideline-directed…
- Trial name
- NCT07355023
- Testing
- Guideline-directed medical therapies
- Where
- Taiwan
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Tri-Service General Hospital (TSGH)
Cardiac Disease
Replacing Spatial Filtering With Deep-learning Noise Reduction
Spatial filtering is routinely required to reduce the statistical noise of gated SPECT myocardial perfusion imaging, but at the expense of image blurring.
- Trial name
- DEEPLAIM (NCT07888218)
- Where
- France
- Volunteers
- 49 people
- Sponsor
- Central Hospital, Nancy, France
Colorectal Cancer, Liver Metastases
Multimodal Deep Learning Signature for Evaluation of Response to Bevacizumab in Patient With Colorectal Cancer Liver Metastasis
Establishment and validation of the deep learning signature of bevacizumab efficacy in initially unresectable CRLM patients
- Trial name
- NCT05354674
- Testing
- Bevacizumab
- Where
- China
- Volunteers
- 302 people
- Sponsor
- Fudan University
Exercise, Seniors
The Effect of an AIoT-Based Smart Exercise System in Older Adults
This clinical trial aims to evaluate the effectiveness of an artificial intelligence of things (AIoT)-based exercise system for seniors. Participants will undergo a 12-week AIoT-based cycle ergometer training program.
- Trial name
- NCT07779824
- Testing
- AIoT-based cycle ergometer exercise system
- Where
- Taiwan
- Volunteers
- 200 people
- Sponsor
- I-Shou University
Cardiac
Spectral Precise Image Study for Coronary Artery
This is a single-center, comparative, observational, retrospective data study. Datasets from patients who underwent spectral coronary CT angiography (CCTA) for suspected coronary artery disease (CAD) or other diagnosis needs as…
- Trial name
- NCT07620457
- Testing
- Non-Interventional Study
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Philips Clinical & Medical Affairs Global
Colorectal Cancer Liver Metastasis
Prospective Validation of an AI Model for Predicting Liver Metastasis in Colorectal Cancer
This is a prospective, multicenter, observational study designed to validate the predictive accuracy of a pre-developed multimodal deep learning model.
- Trial name
- NCT07392567
- Testing
- Multimodal Deep Learning Prediction Model
- Where
- China
- Volunteers
- 160 people
- Sponsor
- Tongji Hospital
Edentulous Jaw
Facial Prediction Technology for Edentulous Patients
According to data from the World Health Organization, approximately 160 million people worldwide are edentulous. The incidence increases with age, and the proportion of edentulous patients is higher in the population aged 60 and…
- Trial name
- NCT06080633
- Where
- Belgium
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- KU Leuven
Preterm Birth, Artificial Intelligence (AI) in Diagnosis
The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice
This study prospectively evaluates whether the performance of an already-developed artificial intelligence (AI) model for predicting spontaneous preterm birth changes when cervical ultrasound images are obtained using different…
- Trial name
- NCT07598097
- Testing
- Cervical ultrasound image acquisition
- Where
- Denmark
- Volunteers
- 2,000 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Lung Cancer (NSCLC)
Postoperative Pulmonary Function Assessment Based on Deep Learning Study
Improvements in low-dose CT screening have led to an increase in early-stage NSCLC diagnoses, with surgical resection-usually lobectomy or segmentectomy-remaining the primary curative option.
- Trial name
- NCT07256457
- Testing
- Segmentectomy, Lobectomy, Bronchoscopic Ablation
- Where
- Hong Kong
- Volunteers
- 192 people
- Sponsor
- Chinese University of Hong Kong
Voice Disorders
Multimodal Analysis of Structural Voice Disorders Based on Speech and Stroboscopic Laryngoscope Video
This study intends to collect clinical data such as strobary laryngoscope images and vowel audio data of patients with structural voice disorders and healthy individuals, and to establish a multimodal voice disorder diagnosis…
- Trial name
- NCT05348031
- Volunteers
- 1 people, healthy volunteers welcome
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Pulmonary Hypertension
Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope
The major goal of the study is to determine whether phonocardiography (using the Eko DUO stethoscope which can capture a three lead ECG reading) can present features that relate to the presence of PH diagnosed by echocardiography…
- Trial name
- NCT05873387
- Testing
- Use of Eko DUO stethoscope (paired ECG/PCG)
- Where
- 3 sites in United States
- Volunteers
- 2,420 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.