Clinical trials: Deep Learning Model
Peripheral Vein, Arterial Wave Reflections
Deep Learning Model for Predicting a Peripheral Venous Waveform-based Pulse Pressure Variation
Pulse pressure variation is a monitoring index that indicates the response to fluid therapy in patients receiving mechanical ventilation, and is used as a reference for patients with unstable hemodynamic conditions.
- Conditions
- Peripheral Vein, Arterial Wave Reflections, Pulse Pressure Variation, Stroke Volume Variation
- Trial name
- NCT06734650
- Testing
- peripheral waveform collection
- Where
- South Korea
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Seoul National University Bundang Hospital
Out of Hospital Cardiac Arrest
Artificial Intelligence Cerebral Gray-white Matter Ratio Module Usage in Hsinchu District Hsinchu District Using an Artificial Intelligence Cerebral Gray-white Matter Ratio Module
This study aims to establish an electronic medical record and imaging database for out-of-hospital cardiac arrest (OHCA) patients at NTUH Hsinchu Branch.
- Trial name
- NCT06856018
- Where
- Taiwan
- Volunteers
- 350 people
- Sponsor
- National Taiwan 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
Hepatocellular Carcinoma (HCC)
AI Multitask Model for HCC Treatment
We will integrate multi-modal cardiac data via an AI multitask framework to develop and validate concurrent models for liver function, treatment prognosis, and microvascular invasion (MVI) prediction in hepatocellular carcinoma.
- Trial name
- NCT07157085
- Testing
- Comprehensive treatment
- Where
- China
- Volunteers
- 7,000 people
- Sponsor
- Sun Yat-sen University
Colorectal Cancer Liver Metastases
Multimodal Model for Efficacy Prediction Cetuximab in Colorectal Cancer Liver Metastasis Patient
Establishment and validation of the deep learning model of Cetuximab efficacy in simultaneous RAS wild unresectable CRLM patients
- Trial name
- NCT05873972
- Testing
- Cetuximab
- Where
- 2 sites in China
- Volunteers
- 100 people
- Sponsor
- Fudan University
Deep Learning Model
Deep Learning Model for Diagnosis and Contour of Cervical Lymph Node for Nasopharyngeal Carcinoma
The diagnosis of cervical lymph node in nasopharyngeal carcinoma is difficult. Magnetic resonance imaging based deep learning model may be a noninvasive and rapid diagnostic method for cervical lymph node.
- Trial name
- NCT05231616
- Where
- China
- Volunteers
- 5,000 people
- Sponsor
- Sun Yat-sen University
Thyroid Nodule
The Application Value of Deep Learning-Based Nomograms in Benign-Malignant Discrimination of TI-RADS Category 4 Thyroid Nodules
This retrospective study focuses on benign and malignant classification of thyroid nodules using deep learning techniques and evaluates the value of deep learning based nomograms in the classification of TI-RADS category 4…
- Trial name
- NCT06258044
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Ma Zhe
Breast Cancer
AI Model for Classifying Breast Cancer From Histopathology Images
Breast cancer, a prevalent and potentially fatal disease, underscores the need for early and accurate detection to improve patient outcomes.
- Trial name
- NCT06717984
- Testing
- Biopsy, Mastectomy, Histopathology
- Where
- Bangladesh
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Taufiq Hasan, PhD
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
AI Assist in the Diagnosis of Pancreatic Solid Lesions
AI Assisted the Diagnosis of Pancreatic Solid Lesions
Solid lesions of the pancreas mainly include tumor and non tumor lesions. More than 90% of pancreatic tumor lesions are pancreatic cancer, which is characterized by high mortality and poor prognosis and requires surgical…
- Trial name
- NCT05706415
- Testing
- Clinicians will review the suggestions of a hypothetical AI
- Where
- 2 sites in China
- Volunteers
- 200 people
- Sponsor
- Changhai Hospital
Focus on Developing a Deep Learning Model to Predict the Recurrence Risk of Stage IA Invasive Lung Adenocarcinoma After Sub-lobar Resection
Deep Learning Model to Predict the Recurrence of Stage IA Invasive Lung Adenocarcinoma After Sub-lobar Resection
This study aims to develop a deep learning model based on noncontrast CT images to predict the recurrence risk of stage IA invasive lung adenocarcinoma after sub-lobar resection，which can serve as potential tool to assist…
- Trial name
- DL-Rec-ILA (NCT06659601)
- Where
- China
- Volunteers
- 9 people
- Sponsor
- First Affiliated Hospital of Chongqing Medical University
Gummy Smile
Deep Learning for Gummy Smile Segmentation
A gummy smile (excessive visibility of the gums when smiling) is not merely an aesthetic issue but also an important parameter in terms of periodontal health.
- Trial name
- NCT06965387
- Where
- Turkey (Türkiye)
- Volunteers
- 1,740 people, healthy volunteers welcome
- Sponsor
- Gazi University
Dental Plaque (Diagnosis), Deep Learning
Microbial Dental Plaque Analysis in Young Permanent Teeth Using Deep Learning
Background: Dental plaque contributes to a number of common oral conditions such as caries, gingivitis, and periodontitis. As a result, detection and management of plaque is of great importance for the oral health of individuals.
- Trial name
- NCT06603233
- Testing
- The Difference Between The AI Model and Dentists Group, Deep Learning Models
- Where
- Turkey (Türkiye)
- Volunteers
- 31 people, healthy volunteers welcome
- Sponsor
- Ankara Medipol University
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
Bone Age
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
The purpose of this study is to understand the effects of using an Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system.
- Trial name
- NCT03530098
- Testing
- BoneAgeModel
- Where
- 6 sites in United States
- Volunteers
- 1,903 people
- Sponsor
- Stanford University
Performance of the Model
OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors
An OSPM-enhanced deep learning model has been developed for identifying premalignant and malignant tumors using data retrospectively collected from the Ningbo Eye Hospital, Jiangdong Eye Hospital, and the Eye Hospital of Wenzhou…
- Trial name
- NCT06567028
- Testing
- OSPM-Enhanced AI Model
- Where
- China
- Volunteers
- 150 people
- Sponsor
- Ningbo Eye Hospital
Non-small Cell Lung Cancer Metastatic
Predictive Multimodal Signatures Associated With Response to Treatment and Prognosis of Patients With Stage IV Non-small Cell Lung Cancer
Predicting response to therapy and disease progression in stage IV NSCLC patients treated with pembrolizumab monotherapy, chemotherapy-pembrolizumab combination therapy or chemotherapy alone in the first-line setting.
- Trial name
- DEEP-Lung-IV (NCT04994795)
- Testing
- Predictive models (data collection)
- Where
- 30 sites in United States, Brazil and 6 more
- Volunteers
- 4,000 people
- Sponsor
- Sophia Genetics SAS
Acute Appendicitis
IA Model for Acute Appendicitis in CT
the investigators's study group has developed a fully automated 3D convolutional neural network (CNN)-based diagnostic framework using information of appendix (IA) model to identify non-appendicitis and simple and complicated…
- Trial name
- NCT06175169
- Testing
- Information of Appendix (IA) model
- Where
- South Korea
- Volunteers
- 568 people
- Sponsor
- Hallym University Medical Center
Dementia (Diagnosis), Alzheimer Dementia (AD)
Speech-Based Artificial Intelligence for Detection of Dementia in Danish Patients (DetectAI)
The goal of this observational study is to learn if an artificial intelligence (AI)-based speech analysis tool can identify which patients with memory problems need specialist evaluation at a memory clinic.
- Conditions
- Dementia (Diagnosis), Alzheimer Dementia (AD), Vascular Dementia (VaD), Lewy Body Dementia (LBD)
- Trial name
- DetectAI (NCT07200739)
- Testing
- Mini-mental State Examination, Addenbrooke's Cognitive Examination, Speech Task - Picture Description
- Where
- Denmark
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Zealand University Hospital