2023 World Conference on Lung Cancer (Posters)-EP04.02. Cost-Consequence Analysis of Artificial Intelligence Assisted Image Reading in Lung Cancer Screening

EP04.02. Cost-Consequence Analysis of Artificial Intelligence Assisted Image Reading in Lung Cancer Screening - PDF(Abstract)

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Pdf Summary

This study examines the potential benefits of using artificial intelligence (AI) in lung cancer screening (LCS) with low-dose computed tomography (LDCT). The researchers conducted a cost-consequence analysis to compare the use of AI-assisted image reading in LCS to traditional image reading without AI. They also explored different scenarios where AI acts as a parallel reader or the first reader. <br /><br />The results show that incorporating AI-assisted image reading in LCS can significantly reduce image reading costs. In Scenario A, where AI acts as a parallel reader, the costs can be reduced by 37%. In Scenario B, where AI is the first reader, the costs can be reduced by 73%. Additionally, using AI as the first reader can also reduce the workload of radiologists. <br /><br />The study highlights the potential of AI in improving LCS by reducing costs and alleviating constraints on healthcare resources. However, despite promising outcomes, AI-assisted image reading is still rarely used in clinical practice. The authors suggest that these findings support the utilization of AI in LCS to improve efficiency and effectiveness. <br /><br />Overall, this study provides evidence for the benefits of AI in LCS and emphasizes the potential of AI-assisted image reading to enhance the early detection and screening of lung cancer. The research encourages the incorporation of AI technologies into current LCS practices to improve outcomes and reduce costs.

Asset Subtitle

Harriet Lancaster

Meta Tag

Speaker Harriet Lancaster

Topic Screening & Early Detection: Implementation

Keywords

artificial intelligence

lung cancer screening

low-dose computed tomography

cost-consequence analysis

AI-assisted image reading

parallel reader

first reader

image reading costs

workload of radiologists

healthcare resources