Artificial intelligence is advancing at an amazing rate - you only need to look at facial recognition on smartphones, or driverless cars. It is important that cancer detection and diagnosis takes advantage of these changes".
Commenting, Professor Rodolfo Montironi (Professor of Pathology, Polytechnic University of the Marche, Ancona, Italy) said:
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"This is interesting work which shows how artificial intelligence will increasingly step into clinical practice. This may be very useful in some areas where there is a lack of trained pathologists. Like all automation, this will lead to a lesser reliance on human expertise, but we need to ensure that the final decisions on treatment stay with a trained pathologist. The really important thing though, is that we ensure the highest standard of patient care. The future will be interesting". Professor Montironi was not involved in this work - this is an independent comment.
The software was developed in conjunction with Nanjing Innovative Data Technologies, Inc (they were not involved in funding this work, see notes for funding details). The newness of the system means that there is no information yet on costs or on implementation.
The authors note some limitations to the work. There were more samples of Gleason Grade 3 and 4 than other grade, which maybe influence the AI calculation to some extent. They are also looking for suitably objective standards to allow direct comparison of Gleason Grade with the AI.
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