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AI Solution for Chest X-Ray LunitCXR

You are here: Home1 / Healthcare Applications2 / Diagnóstico mediante Inteligencia Artificial3 / AI Solution for Chest X-Ray LunitCXR

AI Solution for Chest X-Ray LunitCXR

Lunit INSIGHT CXR detects 10 abnormal radiologic findings with 97-99% accuracy and supports tuberculosis screening on chest x-ray images.

Abnormal radiologic findings: Telectasis, Calcification, Cardiomegaly, Consolidation, Fibrosis Mediastinal Widening, Nodule, Pleural Effusion, Pneumoperitoneum Pneumothorax. *Supports Tuberculosis Screenin

What are the major benefits of using it?

01 Fast triage of normal cases

According to the abnormality scores generated by AI, radiologists can triage normal cases quickly and focus on reading abnormal cases where lesions might exist

Health check-up centers

Imaging clinics

Teleradiology centers

02 Efficient reading via exam prioritization

In reference to the abnormality scores on the worklist, radiologists can prioritize exams in their reading order, resulting in a 13% reduction in reading time, and a 33% in reduction time for normal cases.

Radiology departments

Imaging clinics

Teleradiology centers

03 Improved reading performance

Non-radiology physicians, general radiologists, and thoracic radiologists can improve their diagnostic accuracy for major chest abnormalities such as malignant pulmonary nodules, pneumothorax, pneumonia, and active pulmonary tuberculosis.

Clinical departments prior to surgeries and procedures (Emergency, Pulmonary, Oncology, Cardiothoracic, Surgery, etc.)

 Community hospitals and clinics

04 Reduced overlooked lung cancers

The AI-aided, automatic detection of small and subtle pulmonary nodules overlapped in the hilar shadow, ribs, heart, and diaphragm, enables radiologists to reduce overlooked lung cancer cases, especially during regular check-ups.

Health check-up centers

Community hospitals and clinics

05 Streamlined ED workflow

With the assistance of AI, radiology residents can improve their diagnostic performance¹0 and reduce their reading time¹¹, which ultimately accelerates the decision-making process and treatment in the ED.

Emergency departments

39% Reduction of reading time, to detect acute respiratory infection.

06 COVID-19 patient triaging and monitoring

AI-aided chest radiograph interpretation can help medical professionals detect COVID-19 infected pneumonia quickly¹² and accurately¹³, enabling prompt isolation and timely treatment.

COVID-19 screening centers

Emergency department

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