ShenRuiYiLiao

Overview

DeepWise Medical is an innovative enterprise focused on the application of artificial intelligence in the medical field, committed to providing comprehensive medical imaging-assisted diagnosis and internet medical solutions to medical institutions at all levels through self-developed core algorithms and deep learning technology. The company's products cover detection of multiple diseases including pulmonary nodules, breast cancer, stroke, and fractures, helping doctors improve diagnostic efficiency and accuracy.

Leveraging massive high-quality medical imaging data, DeepWise Medical's AI models have undergone extensive clinical validation, featuring high sensitivity and specificity, and can automatically identify lesions and generate structured reports. In addition, the platform supports seamless integration with hospital PACS systems, enabling cloud-based collaboration of imaging data and remote consultation, facilitating the implementation of hierarchical diagnosis and treatment.

From image acquisition to diagnostic reporting, DeepWise Medical provides intelligent tools for radiology departments, health examination centers, and clinical departments, reducing the risk of missed diagnosis and optimizing workflows. Currently, the products have been deployed in hundreds of top-tier hospitals nationwide, serving millions of patients, and have become an important force in the construction of smart healthcare.

Core capabilities

Pulmonary nodule detection

Automatically identifies and measures multiple types of lung nodules to aid early lung cancer screening.

Stroke analysis

Rapidly assesses cerebral hemorrhage and ischemic lesions to save precious time in emergencies.

Breast cancer screening

Accurately flags suspicious calcifications and masses in mammography or ultrasound images.

Fracture diagnosis support

Automatically detects limb and spinal fractures, reducing misses caused by fatigue.

Structured reports

Generates compliant imaging reports with one click, saving physicians' documentation time.

Cloud collaboration

Supports cross-campus image sharing and remote consultations, promoting equitable access to medical resources.

AI quality control center

Monitors model performance in real time to ensure stable and reliable outputs.

Continuous iteration

Regularly updates algorithms with new data to maintain leading diagnostic performance.

Use cases

Tertiary hospital radiology departments use it for batch rapid screening of lung CTs to improve early diagnosis rates

Primary hospitals use AI-assisted emergency CT interpretation for stroke to win time for thrombolysis

Health checkup centers leverage AI to automatically analyze mammograms and boost breast cancer detection rates

Orthopedic emergency departments use AI to help detect occult fractures after X-ray imaging

Multi-campus imaging centers use cloud AI for unified quality control and remote consultations

Research institutions use AI-annotated imaging data for epidemiological or radiomics studies

AI assists in preliminary judgments on the appropriateness of imaging exams during medical insurance review