Clinical trials: Deep Learning, open to volunteers
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
Forward Head Posture
Comparison of Deep Neck Flexor Strengthening and Motor Learning-Based Neuroplasticity Training for Forward Head Posture
The aim of this randomized clinical trial is to compare the effects of deep neck flexor strengthening and motor learning-based neuroplasticity training on craniovertebral angle, deep neck flexor strength, proprioception, and…
- Trial name
- NCT07337824
- Testing
- Deep neck flexor strengthening, Motor learning based neuroplasticity training
- Where
- Pakistan
- Volunteers
- 74 people
- Sponsor
- Riphah International University
HCC, Adjuvant Therapy
Adjuvant Anti-PD-1 Therapy in Resected Hepatocellular Carcinoma
Early hepatocellular carcinoma (HCC) recurrence (driven by residual tumors) and late recurrence (driven by de novo tumors) exhibit distinct biological behaviors, suggesting differential therapeutic vulnerabilities.
- Conditions
- HCC, Adjuvant Therapy, Recurrence, Immune Checkpoint Inhibitor
- Trial name
- NCT07379489
- Testing
- PD-1 Inhibitors
- Volunteers
- 300 people
- Sponsor
- Tongji Hospital
Colonic Neoplasm
Advanced Classification of Colon Tumors From CT Scans Using Deep Learning for Optimized Treatment Decision-making.
This study aims to improve the classification of colon tumors using deep learning models trained on CT scans, specifically to distinguish between T1-T2 vs. T3-T4 stages and N- vs. N+ lymph node involvement.
- Trial name
- DeepColScan (NCT07406958)
- Where
- France
- Volunteers
- 1,000 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension
Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated.
- Trial name
- AIPHY (NCT05566002)
- Testing
- Right heart catheterization
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Chinese Pulmonary Vascular Disease Research Group
Glaucoma
Glaucoma Screening Using Artificial Intelligence Assisted Clinical Model in Singapore's Diabetic Eye Screening Program
Glaucoma is major cause of irreversible blindness and is characterized by optic nerve damage and visual field loss. Screening for glaucoma is challenging due to lack of a simple, accurate, cost-efficient and standardized process.
- Trial name
- AIGS (NCT07243665)
- Testing
- Artificial Intelligence model to detect glaucoma, No intervention
- Where
- Singapore
- Volunteers
- 1,040 people
- Sponsor
- Singapore Eye Research Institute
Esophageal Squamous Cell Carcinoma, Neoadjuvant Immunochemotherapy
Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy
This study aims to develop and validate a deep learning model to predict pathological complete response (pCR) in patients with esophageal squamous cell carcinoma who have undergone neoadjuvant immunochemotherapy.
- Conditions
- Esophageal Squamous Cell Carcinoma, Neoadjuvant Immunochemotherapy, Pathological Complete Response, Deep Learning
- Trial name
- DL-ESCC (NCT07088354)
- Testing
- The high-throughput extraction of large amounts of quantitative image features from medical images
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Tongji Hospital
Alzheimer Disease
Deep Learning on Amyloid Positons Emission Tomography
Reducing injected dose and/or acquisition time in amyloid PET imaging would improve comfort, radiation safety and cost-effectiveness in diagnosis and follow-up of patients.
- Trial name
- DEEPAMY (NCT07309107)
- Where
- 3 sites in France
- Volunteers
- 40 people
- Sponsor
- Central Hospital, Nancy, France
Embolic Stroke of Undetermined Source
AI-Based Prediction of Atrial Fibrillation in ESUS Patients With ICM
This study investigates patients with Embolic Stroke of Undetermined Source (ESUS) who have received an Implantable Cardiac Monitor (ICM).
- Trial name
- SMART-ESUS (NCT07347691)
- Where
- 5 sites in South Korea
- Volunteers
- 92 people
- Sponsor
- Inha University Hospital
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
Intracranial Aneurysm, CT Angiography
IDEAL Study: Blinded RCT for the Impact of AI Model for Cerebral Aneurysms Detection on Patients' Diagnosis and Outcomes
This study (IEDAL study) intends to prospectively enroll more than 6450 patients who will undergo head CT angiography (CTA) scanning in the outpatient clinic.
- Conditions
- Intracranial Aneurysm, CT Angiography, Deep Learning, Double Bind Interaction
- Trial name
- IDEAL (NCT06118840)
- Testing
- True-AI-integrated intracranial aneurysms diagnosis strategy
- Where
- 21 sites in China
- Volunteers
- 6,450 people, healthy volunteers welcome
- Sponsor
- Jinling Hospital, China
Colon Cancer Patients
Spectral Precise Image-Colon Cancer
This is a single-center, comparative, observational study. Datasets will be collected from patients with pathologically confirmed colon cancer who undergo abdomen-pelvis enhanced spectral CT scan.
- Trial name
- NCT07620444
- Testing
- This is an observational study
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Philips Clinical & Medical Affairs Global
Esophageal Cancer, Squamous Cell
Diagnostic Accuracy of Endocytoscopy for Superficial Esophageal Neoplasia
In recent years, endocytoscopy (EC) has undergone rapid development as an advanced endoscopic technique. Characterized by real-time histological imaging and detection capabilities, EC enables visualization of living cells in the…
- Trial name
- NCT06984055
- Where
- China
- Volunteers
- 600 people
- Sponsor
- Changhai Hospital
Ankle Trauma
Clinical Value of Deep Learning Reconstruction Technology in Ankle MRI
By enrolling patients who underwent ankle MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group.
- Trial name
- NCT07274423
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Lian Yang
Stroke Outcome Prediction Supported by Deep Learning Algorithm
STOP-stroke: STroke Outcome Prediction in the Acute Treatment Setting
The STOP-stroke project aims at improving prediction of outcome early after stroke. In order to achieve this, we need to understand reasons (important variables) for prediction in a real clinical prognostication process.
- Trial name
- STOP-STroke (NCT06534645)
- Where
- Switzerland
- Volunteers
- 250 people
- Sponsor
- University of Zurich
Adenoma Colon Polyp
Prospective Study of EndoAim: ASUS AI Solution for Colorectal Polyp Diagnosis
"The colorectal cancer mortality rate in Taiwan ranks third among all cancers, so it is crucial to prevent colorectal cancer through regular colonoscopy screenings and remove polyps with higher cancer risk.
- Trial name
- NCT06656312
- Testing
- Use ASUS EndoAim as an assistant software to perform colonoscopy
- Where
- Taiwan
- Volunteers
- 548 people
- Sponsor
- Wen-Hsin Huang
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
Breast Neoplasms, Artificial Intelligence (AI)
Non-Contrast Breast MRI Diagnosis and Risk Stratification Using DWI-Generated Synthetic Contrast Enhancement
This study is conducted under the ethics-approved project titled "Artificial Intelligence Solution for Simplifying the Diagnostic Workflow of Breast MRI''.The goal of this observational study is to develop an integrated breast…
- Conditions
- Breast Neoplasms, Artificial Intelligence (AI), Magnetic Resonance Imaging (MRI), Diffusion Magnetic Resonance Imaging
- Trial name
- NCT07598084
- Testing
- Non-contrast breast MRI diagnostic model
- Volunteers
- 12,000 people, healthy volunteers welcome
- Sponsor
- Peking University People's Hospital
Breast Cancer, Axillary Lymph Node Metastasis
A Prospective Multicenter Study of the TuFEst-LN Model for Axillary Lymph Node Status Assessment in Breast Cancer
Through the research of this project, we expect to validate the clinical utility of the TuFEst-LN model in assessing axillary lymph node status in breast cancer patients.
- Trial name
- PRO-TuFEst-LN (NCT07304934)
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Pancreatic Cancer
A Study on a Predictive Model for Efficacy and Prognosis of Pancreatic Carcinoma Based on Multimodal Data
The goal of this observational study is to learn if combining information from CT scans, blood tests, and pathology reports can better predict how pancreatic cancer will progress.
- Trial name
- NCT07561814
- Where
- China
- Volunteers
- 1,030 people
- Sponsor
- Shanghai Zhongshan Hospital