PARADIGM

Problem

Global prostate cancer cases are expected to double over the next 20 years.

With the PRIME trial supporting the use of bpMRI, and the introduction of MRI-based population screening programmes, there will be an increase in the number of MRI scans being performed.

Prostate MRI interpretation is an expert skill, with best results seen from expert genitourinary radiologists. There is an expected 40% shortfall in the number of radiologists in developed countries by 2027.

Problem

Global prostate cancer cases are expected to double over the next 20 years.

With the PRIME trial supporting the use of bpMRI, and the introduction of MRI-based population screening programmes, there will be an increase in the number of MRI scans being performed.

Prostate MRI interpretation is an expert skill, with best results seen from expert genitourinary radiologists. There is an expected 40% shortfall in the number of radiologists in developed countries by 2027.

Problem

Global prostate cancer cases are expected to double over the next 20 years.

With the PRIME trial supporting the use of bpMRI, and the introduction of MRI-based population screening programmes, there will be an increase in the number of MRI scans being performed.

Prostate MRI interpretation is an expert skill, with best results seen from expert genitourinary radiologists. There is an expected 40% shortfall in the number of radiologists in developed countries by 2027.

Gap

AI has been proposed as a solution, and has the potential to offer: ○ Increased work efficiency ○ Minimise diagnostic performance ○ Automate parts of the MRI pathway, providing Radiologists opportunity cost elsewhere. ○ Provide diagnostic performance similar to that of expert Radiologists.

Previous studies have demonstrated that AI provides similar, and in some instances superior performance to that of Radiologists.

However, no prospective evaluation has been performed to date.

Gap

AI has been proposed as a solution, and has the potential to offer: ○ Increased work efficiency ○ Minimise diagnostic performance ○ Automate parts of the MRI pathway, providing Radiologists opportunity cost elsewhere. ○ Provide diagnostic performance similar to that of expert Radiologists.

Previous studies have demonstrated that AI provides similar, and in some instances superior performance to that of Radiologists.

However, no prospective evaluation has been performed to date.

Gap

AI has been proposed as a solution, and has the potential to offer: ○ Increased work efficiency ○ Minimise diagnostic performance ○ Automate parts of the MRI pathway, providing Radiologists opportunity cost elsewhere. ○ Provide diagnostic performance similar to that of expert Radiologists.

Previous studies have demonstrated that AI provides similar, and in some instances superior performance to that of Radiologists.

However, no prospective evaluation has been performed to date.

PARADIGM

Artificial intelligence or radiologist interpretation for prostate cancer diagnosis

Editorial Summary

Problem

Problem

Problem

Gap

Gap

Gap

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