Clinical trials: Deep Learning Model
General Surgery, Oncology
3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
This retrospective study aims to develop an AI-assisted 3D modeling system to improve staging accuracy for stage II-III locally advanced rectal cancer (LARC).
- Conditions
- General Surgery, Oncology, Medical Informatics
- Trial name
- NCT07183124
- Testing
- AI-Assisted 3D Imaging Model for Tumor and CRM Assessmen
- Where
- Taiwan
- Volunteers
- 1,500 people
- Sponsor
- Taichung Veterans General Hospital
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
Colorectal Cancer Liver Metastases (CRLM)
AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)
This multicenter, retrospective study aims to develop and validate a multimodal deep learning model for predicting the risk of metachronous liver metastasis in patients with stage I-III colorectal cancer following curative…
- Trial name
- NCT07399236
- Testing
- Multimodal Deep Learning Model Analysis
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Tongji Hospital
Deep Learning, Head & Neck Squamous Cell Carcinoma
A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data
Based on multimodal data, the investigators establish a dynamic deep learning model to conduct prognostic risk assessment for patients and recommend the 'most suitable' treatment/follow-up regimen after radical treatment…
- Trial name
- NCT07532928
- Where
- China
- Volunteers
- 571 people
- Sponsor
- Nanfang Hospital, Southern Medical University
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 (GC)
Recurrence and Prognosis Prediction Model for Gastric Cancer
This study, utilizing a large-scale multicenter Eastern database, has established a Deep Learning-based predictive model for recurrence following gastric cancer surgery, which demonstrates robust discriminatory power for early…
- Trial name
- NCT07243847
- Testing
- surgery and/or chemo
- Volunteers
- 5,000 people
- Sponsor
- Fudan University
Preeclampsia, Preeclampsia Severe
Risk Prediction Model of Preeclampsia
Preeclampsia is the main cause of increased maternal and perinatal mortality during pregnancy. Preeclampsia is mainly manifested as hypertension, urine protein, or damage symptoms of other target organs after 20 weeks of…
- Trial name
- NCT04794855
- Testing
- laboratory tests
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Peking University Third Hospital
Atrial Fibrillation Recurrence
Atrial Fibrillation Recurrence Prediction
We aimed to develop an dual-branch deep learning network that integrates feature representations extracted from medical texts using large language models, with structured data features derived from perioperative records of AF…
- Trial name
- NCT06977516
- Where
- 5 sites in China
- Volunteers
- 2,508 people
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Pancreatic Neoplasms
A Deep Learning Radiomics Model for Predicting Occult Peritoneal Metastases of Pancreatic Adenocarcinoma
Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PDAC) are frequently overlooked during imaging.
- Trial name
- NCT06336694
- Testing
- surgery or diagnostic staging laparoscopy
- Where
- China
- Volunteers
- 302 people
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
ST Elevation (STEMI) Myocardial Infarction
Development and Validation of a Cardiac Magnetic Resonance-Based Multimodal Deep Learning Model for Long-Term Outcome Prediction in ST-Segment Elevation Myocardial Infarction
Objective: This study aims to develop and test a novel artificial intelligence-based prediction model. This model will integrate cardiac magnetic resonance imaging and clinical data to predict the long-term risk of major adverse…
- Trial name
- NCT07277400
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Qian geng
Hepatocellular Carcinoma (HCC)
Hybrid Deep Learning Integrating Multimodal CEUS and Enhanced MRI to Optimize Early-Stage HCC Treatment Decisions
This study aims to address the issue of a lack of individualized basis for selecting liver resection (LH) or microwave ablation (MWA) in early-stage hepatocellular carcinoma (HCC) patients to reduce the early recurrence rate (≤2…
- Trial name
- HDL-CEUS-MRI (NCT07582419)
- Testing
- surgery, ablation
- Where
- China
- Volunteers
- 1,424 people
- Sponsor
- The First Hospital of Jilin University
Labrum Injury of the Hip Joint
Research on Acetabular Labrum Injury Based on MR: Multi-angle Deep Learning Model
The purpose of this study is to study the MRI images of acetabular labrum injury by deep learning method, and try to establish a combination model of axial and coronal serial images, and compare with the diagnostic accuracy of…
- Trial name
- NCT04950036
- Testing
- Diagnostic Test
- Where
- China
- Volunteers
- 1,261 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital
Tumor Grading, Deep Learning
A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study
This study aims to establish an effective deep learning model to extract relevant information about renal tumors and kidneys from computed tomography (CT) images and predict the pathological grades of clear cell renal cell…
- Conditions
- Tumor Grading, Deep Learning, Clear Cell Renal Cell Carcinoma
- Trial name
- NCT06559046
- Where
- China
- Volunteers
- 483 people
- Sponsor
- Ting Huang
Glioma
Development and Validation of a Deep Learning-Based Survival Prediction Model for Pediatric Glioma Patients: A Retrospective Study Using the SEER Database and Chinese Data
Accurately predicting the survival of pediatric glioma patients is crucial for informed clinical decision-making and selecting appropriate treatment strategies.
- Trial name
- NCT06199388
- Testing
- Survival state
- Where
- China
- Volunteers
- 9,532 people
- Sponsor
- Tang-Du Hospital
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
Uterine Cervical Neoplasms
AI Model for Cervical Cancer Detection From Colposcopy Images
Cervical cancer is a significant health issue, particularly in low-income countries, where late diagnosis and limited access to screenings contribute to high mortality rates.
- Trial name
- NCT06644248
- Testing
- Colposcopy
- Where
- Bangladesh
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Bangladesh University of Engineering and Technology
Unruptured Intracranial Aneurysm, Intracranial Aneurysm Rupture
Prospective Observational Cohort Study for Predicting Unruptured Intracranial Aneurysm Rupture Risk Using Blood Pressure Variability and 3D Structural Evolution
This is a single-center, prospective, longitudinal observational cohort study in adults with unruptured intracranial aneurysms (UIAs) who are managed by conservative observation rather than immediate surgery or endovascular…
- Trial name
- NCT07893574
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Tiantan Hospital
Renal Cell Carcinoma (RCC), Renal Cyst
The CT-based Deep Learning Model Predicts Complications in Partial Nephrectomy
The investigators combine radiomics and deep learning to analyze the lesions more thoroughly, aiming for a more accurate prediction of complications in partial nephrectomy, and compare this approach with traditional models.
- Trial name
- NCT06876584
- Where
- China
- Volunteers
- 1,474 people
- Sponsor
- Du Lingzhi
Esophageal Squamous Cell Carcinoma, Pathological Complete Response
Predicting Pathological Complete Response in Esophageal Squamous Cell Carcinoma Using a Multimodal Model Integrating Clinical, Radiomics, and Deep Learning Features
This multicenter, retrospective cohort study reviews the medical records and CT scans of adults with esophageal squamous cell carcinoma (ESCC) who received neoadjuvant immunotherapy plus chemotherapy before surgery at three…
- Trial name
- pCR-ESCC (NCT07181850)
- Testing
- Standard-of-Care Neoadjuvant Immunochemotherapy (nIT+nCT)
- Where
- China
- Volunteers
- 363 people
- Sponsor
- Nanjing Medical University