Clinical trials: Deep Learning
Patient Readmission
Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data
Hospital readmissions are an important measure of healthcare quality and safety. These events create a substantial burden for patients, families, and health systems because they may increase costs, extend recovery time, and lead…
- Trial name
- NCT07349901
- Where
- Brazil
- Volunteers
- 300 people
- Sponsor
- Getúlio Vargas University Hospital
Covid19
Decision Support System Algorithm for COVID-19 Diagnosis
COVID-19 is an infectious disease caused by a newly discovered Coronavirus which was first identified in Wuhan, China in December 2019.
- Trial name
- NCT04479319
- Testing
- Thorax CT
- Where
- 2 sites in Turkey (Türkiye)
- Volunteers
- 3,215 people
- Sponsor
- Ankara University
Cytomegalovirus Retinitis
Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis
Ophthalmological screening for cytomegalovirus retinitis (CMVR) for HIV/AIDS patients is important. However, the manual screening with fundus imaging is laborious and subjective.
- Trial name
- NCT04831333
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Kuifang Du
Ophthalmic Imaging, Deep Learning
Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging
To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging
- Conditions
- Ophthalmic Imaging, Deep Learning, Artificial Intelligence (AI), Traditional Chinese Medicine Constitution
- Trial name
- NCT07127939
- Testing
- AI-based Ocular Diagnosis Model for TCM Constitutions
- Where
- China
- Volunteers
- 1,024 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Gastric Cancer (Diagnosis), Postoperative Complications
DeepComp for Prediction of Gastric Cancer Postoperative Complications (DeepComp-Prospective)
Gastric cancer is a leading cause of cancer-related mortality, and radical surgery remains the primary treatment. However, postoperative complications are common and can significantly impact patient recovery and quality of life.
- Trial name
- NCT07401173
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Qun Zhao
Mild Cognitive Impairment (MCI)
Non-invasive Deep Brain Stimulation to Enhance Motor Skill Acquisition in Individuals With Mild Cognitive Impairment
The goal of this study is to investigate the impact of non-invasive deep brain stimulation on motor skill acquisition in individuals with Mild Cognitive Impairment.
- Trial name
- NCT07092839
- Testing
- transcranial electric stimulation
- Where
- 2 sites in Switzerland
- Volunteers
- 15 people
- Sponsor
- Friedhelm Hummel
Pulmonary Nodules
Multicenter Prospective Validation of AI Models for Malignancy Risk Prediction in Pulmonary Nodules
This multicenter prospective diagnostic accuracy study will compare the performance of three artificial intelligence (AI) models (MVCS, LungDoc, and a United Imaging AI model) for predicting the malignancy risk of pulmonary…
- Trial name
- NCT07727122
- Where
- 5 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Traumatic Brain Injury (TBI) Patients, Severe Traumatic Brain Injury
SeeMe: Using Automated Facial Tracking to Detect Voluntary Behavior in Brain Injury
Objective: This prospective interventional study introduces "SeeMe," an automated, high-resolution computer vision platform designed to objectively quantify microscopic, auditory command-evoked movements in patients with…
- Trial name
- NCT07560631
- Testing
- SeeMe Multimodal Auditory Command Protocol
- Where
- United States
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Stony Brook University
Intraoperative Hypotension, Hemodynamic Instability
AI-Assisted Blood Pressure Control During Anesthesia
This proof-of-concept randomized controlled trial evaluates a reinforcement learning (RL)-based clinical decision support system for intraoperative hemodynamic management during non-cardiac surgery.
- Trial name
- RL-PRAIS PoC (NCT07123675)
- Testing
- Device: AI Clinical Decision Support System, Procedure: Standard of Care Anesthesia
- Where
- 2 sites in China
- Volunteers
- 40 people
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
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
Nasopharyngeal Carcinoma, Herpesvirus 4, Human
Deep Learning-based sbORN Diagnostic Model
Skull-base osteonecrosis (sbORN) is a severe long-term complication of nasopharyngeal carcinoma (NPC) post radiotherapy, which significantly diminish the quality of life, increase the risk of internal carotid artery rupture, and…
- Trial name
- NCT06463392
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 312 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Chronic Coronary Syndrome, Coronary Artery Disease
Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
The primary objective of this study is to assess the accuracy in terms of sensitivity, specificity, negative and positive predicted values of the DL-based algorithm with respect to correct identification of the plaque and…
- Conditions
- Chronic Coronary Syndrome, Coronary Artery Disease, Stable Angina, Acute Coronary Syndrome
- Trial name
- FOCUS DL (NCT06186336)
- Testing
- Deep Learning-based Vulnerable Plaque Detection and Assessment Tool
- Where
- Italy
- Volunteers
- 200 people
- Sponsor
- GE Healthcare
Spontaneous Intracerebral Hemorrhage, Hematoma Expansion
Noncontrast CT-Based Deep Learning for Predicting Hematoma Expansion Risk in Patients with Spontaneous Intracerebral Hemorrhage
Hematoma expansion is an independent predictor of poor prognosis and early neurological deterioration in patients with spontaneous intracerebral hemorrhage.
- Trial name
- NCCT-DL-HE (NCT06602115)
- Testing
- Observational study, no interventions involved
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Qiang Yu
Binocular Dysfunction, Vertical Heterophoria
Effects of Prismatic Spectacle Lenses on Symptoms of Dizziness, Headache and Anxiety as Caused by Vertical Heterophoria
The purpose of this study is to demonstrate whether, in patients diagnosed with Vertical Heterophoria, the symptoms of dizziness, headache and / or anxiety are reduced or eliminated when a kind of correction called vertical prism…
- Conditions
- Binocular Dysfunction, Vertical Heterophoria, Vision, Binocular, Vision Disparity
- Trial name
- NCT00785135
- Testing
- Lenses containing prismatic correction, Lenses not containing prismatic correction
- Where
- United States
- Volunteers
- 13 people
- Sponsor
- Vision Specialists of Birmingham
Ulcerative Colitis, Colonoscopy
Ulcerative Colitis Mayo Score With Artificial Intelligence
This project will use deep learning to classify colonoscopy images of different severity of ulcerative colitis, so as to assist clinicians in the accurate diagnosis of ulcerative colitis.
- Conditions
- Ulcerative Colitis, Colonoscopy, Deep Learning
- Trial name
- NCT05336773
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Third Military Medical University
Female Sexual Dysfunction
Predicting Changes in Core Muscles During Female Sexual Dysfunction: A Comprehensive Analysis Using Machine and Deep Learning
The purpose of this study is to Predicting changes in core muscles during female sexual dysfunction by A Comprehensive Analysis Using Machine and Deep Learning Female sexual dysfunction (FSD) is a common condition that affects…
- Trial name
- NCT05833685
- Testing
- no intervention
- Where
- Egypt
- Volunteers
- 100 people
- Sponsor
- Deraya University
Carcinoma, Hepatocellular, Body Weight
Low-contrast Dose Liver CT Using Lean Body Weight Low Monoenergetic Images and Deep Learning-based Reconstruction
This study aims to assess whether the acceptable image quality is achievable using low monoenergetic imaging of dual-energy CT with deep learning-based denoising, and low contrast media dose calculated based on lean body weight…
- Trial name
- NCT04027556
- Testing
- low dose CT contrast media - lean body weight, Standard dose CT contrast media
- Where
- South Korea
- Volunteers
- 90 people
- Sponsor
- Seoul National University Hospital
Renal Cyst
Multiphase CT Deep Learning for Bosniak II-III Renal Cysts
This retrospective study combine radiomics and deep learning models to predict malignancy in Bosniak II-III cystic renal masses, aiming for improving preoperative risk assessment and reducing unnecessary surgery for benign…
- Trial name
- NCT07833124
- Where
- China
- Volunteers
- 223 people
- Sponsor
- Shanghai Zhongshan Hospital
Diabetes Mellitus Type 2 - Insulin-Treated
Insulin Titration System Based on Deep Learning
This is an open-labeled, one-arm intervention trial to access the effect and safety of the Insulin Titration System Based on Deep Learning in patients with Type 2 Diabetes Mellitus.
- Trial name
- NCT05409391
- Testing
- Insulin Titration System
- Where
- China
- Volunteers
- 16 people
- Sponsor
- Shanghai Zhongshan Hospital
Esophageal Squamous Cell Cancer (SCC), Recurrent Laryngeal Nerve Palsy
CT and Endoscopic Biopsy Image-Based Deep Learning for Predicting Left Recurrent Laryngeal Nerve Lymph Node Metastasis in Esophageal Cancer
The goal of this observational study is to develop a predictive model for left recurrent laryngeal nerve (RLN) lymph node metastasis using deep learning algorithms.
- Conditions
- Esophageal Squamous Cell Cancer (SCC), Recurrent Laryngeal Nerve Palsy, Deep Learning, Postoperative Complication
- Trial name
- NCT07074535
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Daping Hospital and the Research Institute of Surgery of the Third Military Medical University