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Prospective Clinical Implementation of Paige Prostate Detect Artificial Intelligence Assistance in the Detection of Prostate Cancer in Prostate Biopsies: CONFIDENT P Trial Implementation of Artificial Intelligence Assistance in Prostate Cancer Detection

Purpose

Pathologists diagnose prostate cancer using special stained slides from needle biopsies. Some labs use expensive tests for every case, which can cost more than what they get paid. This study looked at whether using an AI tool can help reduce these costs while still keeping diagnosis safe.

Methods

Patients suspected of having prostate cancer were divided into two groups. One group (control) had their slides examined using traditional methods. The other group (intervention) used an AI tool to help decide when to use additional tests. The main goal was to see how much the AI reduced the need for these extra tests.

Results

Out of 237 slides from 82 patients, 143 slides showed prostate cancer. The use of AI significantly lowered the number of extra tests needed, which saved about €1,700 in costs. Pathologists using AI felt more confident in their diagnoses compared to those who didn’t. The time taken to review slides was similar for both groups.

Conclusion

This study shows that using AI can help detect prostate cancer while cutting costs for additional tests. This supports the idea of using AI in clinical settings for better efficiency and safety.

Opportunities Based on Trial Data

Define Measurable Outcomes

Set clear goals for using AI in detecting prostate cancer, focusing on improving diagnosis and reducing costs.

Select AI Tools That Fit Clinical Needs

Choose AI solutions that are specifically designed for prostate cancer detection tasks.

Implement Step by Step and Expand

Start with a small pilot project to test AI solutions, track results, and see their real-world impact.

Contact Us for AI Solutions in Medical Management

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