Clinical trials: Deep Learning Model
Breast Cancer Detection, Early Detection of Cancer
AI-Based Self-Supervised Learning Model Using Non-Contrast Breast MRI for Early Screening and Clinical Utility Evaluation
Breast cancer is the most common malignant disease among women worldwide, with rising incidence and younger age at onset in China.
- Conditions
- Breast Cancer Detection, Early Detection of Cancer, AI (Artificial Intelligence)
- Trial name
- B-MRI-AI (NCT07205276)
- Testing
- Non-contrast multiparametric breast MRI with AI-based radiomics analysis, Standard radiologist reading of non-contrast multiparametric breast MRI
- Volunteers
- 30,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
HCC
Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model
Primary liver cancer is one of the most common malignant tumors in the world, and about 80%~90% of primary liver cancers are pathologically characterized as hepatocellular carcinoma (HCC).
- Trial name
- NCT06420440
- Testing
- Hepatic arterial infusion chemotherapy, Lenvatinib, Tislelizumab
- Where
- 2 sites in China
- Volunteers
- 160 people
- Sponsor
- Chen Xiaoping
Asthma in Children
Integrating Deep Learning CT-scan Model, Biological and Clinical Variables to Predict Severity of Asthma in Children
Artificial intelligence (AI) offers substantial opportunities for healthcare, supporting better diagnosis, treatment, prevention and personalized care.
- Trial name
- BREATHE (NCT05140889)
- Where
- Italy
- Volunteers
- 25 people
- Sponsor
- Fondazione IRCCS Policlinico San Matteo di Pavia
Early Gastric Cancer
AI Model for Early Gastric Cancer Diagnosis Using Endoscopic Imaging
Early gastric cancer (EGC) is often difficult to detect accurately during endoscopic examination due to subtle morphological features and variability among endoscopists.
- Trial name
- XAI-EGC (NCT07551466)
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 100 people
- Sponsor
- The First Affiliated Hospital of Soochow University
Nasopharyngeal Cancinoma (NPC), Distant Metastasis
Development and Validation of a Deep Learning Model to Predict Distant Metastases in Nasopharyngeal Carcinoma Using Whole Slide Imaging and MRI
An AI model was developed to predict the likelihood of distant metastasis in patients with nasopharyngeal cancer based on pathology slides and MRI scans of the primary tumor.
- Trial name
- NCT06831357
- Where
- 2 sites in China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Heart Failure, Heart Failure With Reduced Ejection Fraction
AI-ECG for Time-Resolved Prediction of HFrEF
This study aims to develop and validate a deep learning-based electrocardiogram (ECG) model for predicting the future risk of heart failure with reduced ejection fraction (HFrEF).
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Left Ventricular Dysfunction, Cardiac Remodeling
- Trial name
- NCT07519434
- Where
- China
- Volunteers
- 286,709 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Osteoporosis
Validation of a Deep Learning Tool for Opportunistic Osteoporosis Screening Using Routine Non-Contrast CT Scans
The goal of this clinical trial is to test if an artificial intelligence (AI) tool called DeepBMD can accurately identify people at high risk for osteoporosis using routine chest or abdomen CT scans.
- Trial name
- NCT07739628
- Testing
- DeepBMD model for osteoporosis risk screening
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Osteoporosis
AI Model for Bone Mineral Density Prediction From X-Ray Images
Osteoporosis, a pervasive skeletal disorder characterized by diminished bone strength predisposing individuals to an increased risk of fractures, presents a substantial public health challenge globally.
- Trial name
- NCT06652061
- Testing
- Dual Energy X-Ray Absorptiometry Scan (DEXA Scan), X-Ray (Hip and Spine)
- Where
- Bangladesh
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Bangladesh University of Engineering and Technology
Gestational Diabetes, Pregnancy Complications
Gestational Diabetes Monitoring and Management
The primary goal is to predict the clinical outcomes of mother and baby using blood glucose and other routinely collected clinical data in pregnancy to predict adverse outcomes at birth in women with GDM.
- Conditions
- Gestational Diabetes, Pregnancy Complications, Pregnancy in Diabetic, Pregnancy, High Risk
- Trial name
- NCT06963528
- Where
- United Kingdom
- Volunteers
- 1,800 people
- Sponsor
- University of Oxford
ICL, Vault
Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation
To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.
- Conditions
- ICL, Vault, Deep Learning, AI (Artificial Intelligence)
- Trial name
- NCT07146737
- Testing
- Corneal tomography generation model after ICL surgery
- Where
- China
- Volunteers
- 818 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
Femoroacetabular Impingement Syndrome
AI-Based Screening and Diagnostic Models for Femoroacetabular Impingement Syndrome (FAIS-AI)
Femoroacetabular impingement syndrome (FAIS) is the leading cause of hip pain in young adults and frequently progresses to osteoarthritis, often exacerbated by delayed diagnosis in primary care.
- Trial name
- FAIS-AI (NCT07737223)
- Where
- China
- Volunteers
- 2,617 people
- Sponsor
- ChunBao Li
Extra Canals
AI Detection Model of Extra Root Canals in Mandibular Premolars Using CBCT Scans
Successful endodontic treatment depends on the complete identification and management of the entire root canal system. Missed root canals are a major cause of endodontic failure, particularly in mandibular premolars, which…
- Trial name
- NCT07689708
- Testing
- AI Model to detect any extra canals in mandibular premolars
- Volunteers
- 272 people, healthy volunteers welcome
- Sponsor
- Cairo University
Hepatobiliary Surgery, Liver Diseases
Feasibility Analysis of LCD-SLA 3D Printing Technology for Overall Surgical Planning of Liver Malignant Tumors
This study aims to evaluate the effectiveness of 3D-printed liver models in hepatobiliary surgery planning compared to traditional digital simulations. It is conducted in three phases: 1.
- Trial name
- NCT06526754
- Testing
- 3D-Printed Liver Model, Digital Simulation-Based Surgical Planning
- Where
- China
- Volunteers
- 64 people
- Sponsor
- Yang Jihong
AKI - Acute Kidney Injury
Risk Factors and Deep Learning Model for CI-AKI
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
- Trial name
- NCT06596785
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xiao Li，MD
Esophageal Neoplasm
Response Prediction to Neoadjuvant Chemoradiation in Esophageal Cancer Using Artificial Intelligence & Machine Learning
In esophageal carcinoma, neoadjuvant concurrent chemo-radiotherapy (NA-CCRT) followed by surgery is the current standard of care and ample evidence has accumulated supporting the view that complete pathological response (pCR) is…
- Trial name
- QARC (NCT04489368)
- Testing
- Neo-Adjuvant Radiotherapy, Neo-Adjuvant Chemotherapy, Esophagectomy
- Where
- 2 sites in Australia, India
- Volunteers
- 150 people
- Sponsor
- Dr Kundan Singh Chufal
Type2 Diabetes
Social Network Analysis to Identify Community Health Workers
The objective of this study is to recruit influential community members using Snowball Sampling Methods. Community members identified through social network analysis as influential and well-connected will be trained as community…
- Trial name
- NCT04210024
- Testing
- Diabetes Empowerment Education Program
- Where
- 2 sites in United States
- Volunteers
- 91 people, healthy volunteers welcome
- Sponsor
- Brittany L Smalls
Sleep-Disordered Breathing, Sleep Architecture
Validation of Belun Ring Gen3 Deep Learning Algorithms With Subxiphoid Body Sensor
Hypothesis: BR's Gen3 DL algorithms, combined with its subxiphoid body sensor, can accurately diagnose OSA, categorize its severity, identify REM OSA and supine OSA, and detect central sleep apnea (CSA).
- Conditions
- Sleep-Disordered Breathing, Sleep Architecture, Arrhythmia
- Trial name
- NCT06255613
- Testing
- Belun Ring, Belun Cor
- Where
- 2 sites in United States
- Volunteers
- 79 people
- Sponsor
- Belun Technology Company Limited
Cancer Diagnosis, Liver Cancer, Adult
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening.
- Conditions
- Cancer Diagnosis, Liver Cancer, Adult, Cancer Screening, Colorectal Cancer (CRC)
- Trial name
- NCT06822413
- Testing
- No Interventions
- Where
- 4 sites in China
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Ovarian Cancer
Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids
The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict…
- Trial name
- NCT06317610
- Testing
- growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Chongqing University Cancer Hospital
Acute Ischemic Stroke
Prognostic Prediction Model of Patients With AcUte Stroke undeRgoing EndOvascular TheRApy (AURORA)
Stroke is the leading cause of disability-adjusted life years (DALYs) in China, imposing a heavy burden on society and families.
- Trial name
- AURORA (NCT06009315)
- Where
- China
- Volunteers
- 949 people
- Sponsor
- Beijing Tiantan Hospital