Lung Health

Driving Advances in Lung Health Through Early Detection

The chest is one of the most challenging anatomical regions to read due to a multitude of diseases and reading complexity. Earlier detection of these conditions leads to more effective treatments and patient outcomes. Learn more about lung diseases, the impact of early detection, and tools to improve detection accuracy and efficiency.

A smiling senior woman in an outdoor setting with a translucent lung anatomy overlay on her chest, representing Riverain Technologies' focus on early lung disease detection.

Lung Cancer is a Leading Global Killer

An estimated 228,000 in the U.S. and 2.48 million globally will be diagnosed with lung cancer this year.^{1, 2}
Each year, more people die of lung cancer than of colon, breast, and prostate cancers combined.¹
Nodule search is burdensome with 95% having no findings or benign findings.³

Why is Early Detection So Important?

Early detection of lung cancer and COPD opens up more treatment options and patient outcomes.
Lung cancer 5-year survival rates improve from 12% when detected in late stages to 67% when detected in early stages.¹
When missed the first time, lung cancer diagnosis is delayed approximately 250 days.⁴
Enrollment in lung cancer screen programs in the U.S. is less than 20%. Getting screened is the best chance for early detection.⁵
30-40% of lung cancer screening participants may have undiagnosed emphysema or COPD.⁶

Improving Detection Accuracy and Efficiency

The American Cancer Society cites that the number of deaths from lung cancer continues to drop, due to fewer people smoking and advances in early detection and treatment. Still, according to the NLST, half of all lung cancers are found on the follow-up scan, not the original scan. This means that early detection is often the key for future success.

ClearRead^TM Chest is a comprehensive AI suite for chest CTs and X-rays that provides accurate detection and analysis of pulmonary nodules, coronary artery calcification scoring, and detection of pneumothorax when minutes count. ClearRead gives clinicians the tools and information they need to make informed decisions about the most prevalent and dangerous chest conditions.

ClearRead covers all the bases for a fully-automatic chest AI solution for incidental detection and in lung cancer screening programs.

Original unprocessed axial chest CT scan at lung window demonstrating standard radiological appearance before ClearRead CT AI-powered image enhancement processing.

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Posteroanterior chest radiograph used as a ClearRead CT reference graphic, demonstrating the baseline imaging Riverain Technologies AI analyzes for nodule detection and bone suppression.

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Changing the Landscape in Lung Health

AI Advancements in Screening

In this interview from RSNA 24, we learn what technologies can make lung screening more effective. Imaging Wire speaks with Jonathan Chung, MD, of UC San Diego about technological developments in chest imaging.

¹https://www.cancer.org/cancer/types/lung-cancer/about/key-statistics.html
²https://doi.org/10.1016/j.canep.2024.102693
³https://www.ajronline.org/doi/10.2214/AJR.13.11493
⁴https://www.ajronline.org/doi/10.2214/AJR.13.11493
⁵https://doi.org/10.1016/j.focus.2025.100428
⁶https://pmc.ncbi.nlm.nih.gov/articles/PMC10112413/#:~:text=Two%20recent%20reports%20analyze%20data,COPD/emphysema%20(10)

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