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

No results posted yet for this study

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

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05046366 on ClinicalTrials.gov