Clinical trials: Deep Learning
CNS Tumor, Neuropathology
Artificial Intelligence Neuropathologist
CNS tumor requires biopsy for pathological diagnosis, which is known as the "golden standard". We would like to achieve automated classification of brain tumors based on deep learning in digital histopathology images and…
- Trial name
- NCT05300113
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Huashan Hospital
Myocardial Infarction or Chest Pain
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) Trial
This study is a prospective multicenter observational study for external validation and model advancement of a deep learning based 12-lead electrocardiogram analysis algorithm targeting adult patients presenting to the emergency…
- Trial name
- ROMIAE (NCT05435391)
- Where
- South Korea
- Volunteers
- 8,814 people
- Sponsor
- CHA University
Echocardiography
Developing Echocardiography Image Quality Management System Based on Deep Learning
To develop an echocardiography image quality management system based on deep learning to achieve objective and accurate automatic echocardiography image quality control.
- Trial name
- NCT05633732
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Thyroid, Surgery
A Deep Learning Method to Predict Difficult Laryngoscopy Using Cervical Spine X-ray Image
An unanticipated difficult laryngoscopy is associated with serious airway-related complications. The investigators developed a deep learning-based model that predicts a difficult laryngoscopy (Cormack-Lehane grade 3-4) from a…
- Conditions
- Thyroid, Surgery, Intubation; Difficult or Failed
- Trial name
- NCT05176184
- Testing
- A deep learning model for predicting a difficult laryngoscopy based on a cervical spine lateral X-ray image
- Where
- South Korea
- Volunteers
- 367 people
- Sponsor
- Seoul National University Hospital
Lung Cancer (NSCLC)
Multimodal CT-Based Risk Stratification for Postoperative Local Recurrence in NSCLC: A Multicenter Study
This multicenter retrospective study is designed to develop and validate a CT-based multimodal risk stratification approach for postoperative local recurrence after curative-intent resection of non-small cell lung cancer (NSCLC).
- Trial name
- NCT07552532
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Guangming Lu
Delirium, Confusion
Improving Safety of Diagnosis and Therapy in the Inpatient Setting
To improve the safety of diagnosis and therapy for a set of conditions and undifferentiated symptoms for hospitalized patients, the investigators will employ a set of methods and tools from the disciplines of systems engineering…
- Conditions
- Delirium, Confusion, Mental Status Change, Back Pain
- Trial name
- PSLL2-0 (NCT04393909)
- Testing
- Diagnostic Uncertainty Educational Curriculum, Diagnostic Timeout, Patient Diagnostic (Dx) Questionnaire
- Where
- United States
- Volunteers
- 700 people
- Sponsor
- Brigham and Women's Hospital
Pancreatic Cancer, Pancreatic Cystic Lesions
Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence
This international, multicenter retrospective study aims to develop a deep learning (DL)-based predictive model to identify malignant transformation in pancreatic cystic lesions, improving upon current clinical guidelines.
- Trial name
- NCT06954753
- Testing
- Pancreatic surgery
- Volunteers
- 250 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
Carotid Stenosis
Risk Prediction Model for Cerebrovascular Events in Carotid Artery Stenosis
Atherosclerotic carotid artery stenosis is a major cause of stroke, and early identification of high-risk patients combined with surgical intervention can significantly reduce stroke risk.
- Trial name
- NCT06452173
- Testing
- Plasma, carotid high-resolution magnetic resonance imaging
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Beijing Tiantan Hospital
Pancreatic Neoplasms
Circulating Epigenetics in Pancreatic Surgery
The overall objective of the study is to assess DNA-methylation changes in circulating blood cells and cell free DNA in plasma from patients undergoing the Whipples procedure for pancreatic caner
- Trial name
- NCT04947696
- Testing
- Blood sampling
- Where
- Denmark
- Volunteers
- 200 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Ultrasound, Anterior Talofibular Ligament
Deep-learning Enabled Ultrasound Diagnosis of Anterior Talofibular Ligament Injury
Ultrasound (US) is a more cost-effective, accessible, and available imaging technique to assess anterior talofibular ligament (ATFL) injuries compared with magnetic resonance imaging (MRI).
- Conditions
- Ultrasound, Anterior Talofibular Ligament, Deep Learning
- Trial name
- NCT06373029
- Testing
- Ultrasound examination
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Peking University People's Hospital
Carcinoma, Renal Cell, Diagnostic Imaging
Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT
This study aims to develop and validate a contrast-enhanced CT-based deep-learning model for automatic and accurate preoperative discrimination between T1-T2 and T3 renal cell carcinoma.
- Conditions
- Carcinoma, Renal Cell, Diagnostic Imaging, Pathology, Deep Learning
- Trial name
- NCT07166445
- Testing
- None intervention
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Peking University First Hospital
Atrial Fibrillation (AF), Ischemic Stroke
Prediction of Stroke Risk in Patients with Atrial Fibrillation Based on Chest CT Images
This study aims to create and assess a deep learning framework for extracting left atrial appendage features in atrial fibrillation patients and combining them with clinical data to predict ischemic stroke risk.
- Trial name
- NCT06611995
- Testing
- observational study
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- First Affiliated Hospital of Zhejiang University
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
Patient With a History of Previous Radiotherapy
Deep Learning for Automatic Segmentation of Bone Sequestra on Orthopantomographs: A UNet-Based Approach
This study developed and evaluated a UNet-based deep learning model for automatic segmentation of bone sequestra on orthopantomographs (OPGs), with the goal of improving diagnostic efficiency and reducing inter-observer…
- Trial name
- Deep Learning (NCT07809048)
- Testing
- Radiographic Evaluation
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people
- Sponsor
- Izmir Katip Celebi University
Breast Neoplasms, Breast Cancer Detection
Diagnostic Accuracy of Carebot AI MMG in Mammography Screening: Multicenter MRMC Study
This study evaluates the diagnostic performance of Carebot AI MMG, an artificial intelligence (AI)-enabled medical device for evaluating mammograms.
- Conditions
- Breast Neoplasms, Breast Cancer Detection, Breast Cancer - Female, Breast Cancer Screening
- Trial name
- CARE-MMG-MRMC (NCT07298252)
- Testing
- Carebot AI MMG software analysis
- Where
- 4 sites in Czechia, Slovakia
- Volunteers
- 222 people, healthy volunteers welcome
- Sponsor
- Carebot s.r.o.
Coronary Artery Disease, Artificial Heart Device User
Deep Learning Algorithm for Detecting Obstructive Coronary Artery Disease Using Fundus Photographs
Artificial Intelligence, trained through model learning, can quickly perform medical image recognition and is widely used in early disease screening and assisted diagnosis.
- Trial name
- NCT06102226
- Testing
- coronary artery imaging (coronary CTA or coronary angiography)
- Where
- China
- Volunteers
- 7,000 people, healthy volunteers welcome
- Sponsor
- Yong Zeng
Arrhythmia, Long QT Syndrome
AI-powered ECG Analysis for Deadly Arrhythmias and ICI Myocarditis
ELDORA is a non-interventional observational data-science study aiming to develop and validate clinical-grade artificial intelligence tools applied to electrocardiogram (ECG) data.
- Conditions
- Arrhythmia, Long QT Syndrome, Immune Checkpoint Inhibitor-Related Myocarditis
- Trial name
- ELDORA (NCT07644715)
- Where
- France
- Volunteers
- 127,000 people, healthy volunteers welcome
- Sponsor
- Groupe Hospitalier Pitie-Salpetriere
Lung Cancer
Clinical Significance of Computer Aided Image Analysis in Treatment Response Evaluation of Lung Cancer
The investigators will evaluate the utility of computer aided image analysis in lung cancer with the aim of predicting treatment response and prognosis.
- Trial name
- NCT03954847
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Pulmonary Nodules, Lung Neoplasms
Deep Learning Time-Series Prediction of Long-Term Growth Patterns of Pulmonary Ground-Glass Nodules Using Serial CT
Pulmonary ground-glass nodules (GGNs) are commonly found on chest CT scans. Some stay stable for years, while others slowly or rapidly turn into lung cancer.
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Adenocarcinoma of Lung
- Trial name
- GGN-Trajectory (NCT07647692)
- Testing
- Serial Thin-Slice Chest CT
- Where
- China
- Volunteers
- 4,750 people
- Sponsor
- Peking University People's Hospital
Pulmonary Fibrosis, Interstitial Lung Disease
Retrospective Validation of AccuPulmo CT Portal for Detecting Pulmonary Fibrosis on Chest CT
This retrospective observational study evaluates the diagnostic performance of AccuPulmo CT Portal, an artificial intelligence-assisted medical imaging software, for detecting pulmonary fibrosis on pre-existing chest computed…
- Trial name
- ACCUPULMO-FIBR (NCT07761377)
- Testing
- AccuPulmo CT Portal
- Where
- Taiwan
- Volunteers
- 900 people
- Sponsor
- Taichung Veterans General Hospital