Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening

Article Radiology, Nuclear Medicine & Medical Imaging

Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT

H. L. Hempel et al.

Summary: The study aimed to evaluate the impact of CAD software on management recommendations for incidentally detected pulmonary nodules on CT. The results showed that CAD software significantly reduced reading time and improved interobserver agreement among radiologists.

EUROPEAN JOURNAL OF RADIOLOGY OPEN (2022)

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Review Oncology

Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives

Matthijs Oudkerk et al.

Summary: Despite being the leading cause of cancer-related mortality worldwide, lung cancer mortality has been reduced through LDCT screening in high-risk populations. Screening programs have been implemented in the USA and are currently underway in the UK, with a framework called SPIRAL to define future research scope.

NATURE REVIEWS CLINICAL ONCOLOGY (2021)

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Review Medicine, General & Internal

Screening for Lung Cancer: US Preventive Services Task Force Recommendation Statement

Alex H. Krist et al.

Summary: Lung cancer is the second most common cancer and leading cause of cancer death in the US, with smoking and increasing age being the primary risk factors. Annual screening with low-dose computed tomography is recommended for adults aged 50 to 80 years with a 20 pack-year smoking history.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2021)

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Review Oncology

Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?

Anton Schreuder et al.

Summary: Lung cancer CT screening has shown a reduction in deaths but faces challenges such as false positives, cost-effectiveness, and radiologist availability. AI can enhance efficiency in screening, but more research is needed to fully integrate it into the analysis of lung CT scans.

TRANSLATIONAL LUNG CANCER RESEARCH (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function

ShihChung B. Lo et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2018)

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Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening

Related references

Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT

Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives

Screening for Lung Cancer: US Preventive Services Task Force Recommendation Statement

Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?

Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function

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