Development of an Artificial Intelligence System for Intelligent Pathological Diagnosis and Therapeutic Effect Prediction Based on Multimodal Data Fusion of Common Tumors and Major Infectious Diseases in the Respiratory System Using Deep Learning Technology.
NCT05046366 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2021-11-16
Summary
To improve accurate diagnosis and treatment of common malignant tumors and major infectious diseases in the respiratory system, we aim to establish a large medical database that includes standardized and structured clinical diagnosis and treatment information such as electronic medical records, image features, pathological features, and multi-omics information, and to develop a multi-modal data fusion-based technology system for individualized intelligent pathological diagnosis and therapeutic effect prediction using artificial intelligence technology.
Conditions
- Artificial Intelligence
- Deep Learning
- Pathology, Molecular
- Medical Informatics
- Database
- Lung Cancer
- Pulmonary Tuberculosis
- Covid19
Sponsors & Collaborators
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
lead OTHER
Principal Investigators
-
Yang Jin, Professor · union hospital, Tongji Medical college, Huazhonguniversity of science and technology
Eligibility
- Min Age
- 18 Years
- Max Age
- 90 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-10-01
- Primary Completion
- 2023-12-31
- Completion
- 2024-12-31
Countries
- China
Study Locations
More Related Trials
-
Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
NCT05425134 ·Status: UNKNOWN
-
Pathological Classification of Pulmonary Nodules in Images Using Deep Learning
NCT05221814 ·Status: UNKNOWN
-
Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
NCT06517979 ·Status: RECRUITING
-
Deep Learning Model Predicts Pathological Complete Response of Lung Cancer Following Neoadjuvant Immunochemotherapy
NCT06285058 ·Status: NOT_YET_RECRUITING
-
Prospective Real-World Study of Multimodal AI
NCT07269236 ·Status: ENROLLING_BY_INVITATION
-
Deep Learning Model to Predict the Recurrence of Stage IA Invasive Lung Adenocarcinoma After Sub-lobar Resection
NCT06659601 ·Status: COMPLETED
-
Deep Learning Signature for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma
NCT05736991 ·Status: UNKNOWN
-
Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos
NCT07098884 ·Status: RECRUITING
-
Deep Learning Model for Pure Solid Nodules Classification
NCT05542992 ·Status: UNKNOWN
-
Integrating Machine Learning for Prognostic Prediction in Stage I NSCLC by CT Images and Pathological Factors
NCT06737367 ·Status: COMPLETED
-
Prediction of Targeted Therapy Efficacy in EGFR-mutant Lung Cancer Patients Using AI-based Multimodal Data
NCT07287904 ·Status: NOT_YET_RECRUITING
-
Prediction of Mediastinal Station IV Lymph Node Metastasis in Non-small Cell Lung Cancer
NCT06496360 ·Status: RECRUITING
-
Retrospective Pathology Foundation Models
NCT07239297 ·Status: ENROLLING_BY_INVITATION
-
Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer
NCT05925751 ·Status: UNKNOWN
-
Machine Learning for Predicting and Managing Quality of Life in Lung Cancer Immunotherapy Patients
NCT06725225 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Research on New Diagnosis and Treatment Technologies for Early Lung Cancer
NCT07000721 ·Status: COMPLETED ·Phase: NA
-
D-Lung: An Analytics Platform for Lung Cancer Based on Deep Learning Technology
NCT04036903 ·Status: COMPLETED
-
AI Models for Predicting Occult Pleural Dissemination in NSCLC
NCT07065422 ·Status: COMPLETED
-
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
NCT06684418 ·Status: RECRUITING
-
Multimodal Large Model-Driven Risk and Prognosis Assessment for Brain Metastases in Lung Cancer
NCT07107035 ·Status: NOT_YET_RECRUITING
-
Predicting Symptom Trajectories After Thoracoscopic Lung Cancer Surgery Using an Interpretable Machine Learning Model
NCT06771947 ·Status: NOT_YET_RECRUITING
-
Multi-dimensional Signatures for Precisely Predicting the Response and Prognosis of Lung Cancer Patients
NCT04980352 ·Status: UNKNOWN
-
Classification of Benign and Malignant Lung Nodules Based on CT Raw Data
NCT04241614 ·Status: COMPLETED
-
Construction and Evaluation of the Liquid Biopsy-based Early Diagnostic Model for Lung Cancer
NCT04156360 ·Status: UNKNOWN
-
Postoperative Pulmonary Function Assessment Based on Deep Learning Study
NCT07256457 ·Status: NOT_YET_RECRUITING ·Phase: NA