Researchers have developed a new learning artificial intelligence (AI) system which can diagnose and identify cancerous prostate samples as accurately as any pathologist.
According to the researchers, this holds out the possibility of streamlining and eliminating variation in the process of cancer diagnosis. It may also help overcome any local shortage of trained pathologists.
"This is not going to replace a human pathologist. We still need an experienced pathologist to take responsibility for the final diagnosis," said lead author Hongqian Guo from the Nanjing University in China.
"What it will do is help pathologists make better, faster diagnosis, as well as eliminating the day-to-day variation in judgement which can creep into human evaluations," Guo added.
For the study, presented at the 33rd European Association of Urology Congress in Copenhagen, researchers took 918 prostate whole mount pathology section samples from 283 patients, and ran these through the analysis system, with the software gradually learning and improving diagnosis.
These pathology images were subdivided into 40,000 smaller samples; 30,000 of these samples were used to 'train' the software, the remaining 10,000 were used to test accuracy.
The results showed an accurate diagnosis in 99.38 per cent of cases (using a human pathologist as a 'gold standard'), which is effectively as accurate as the human pathologist.
They were also able to identify different Gleason Grades in the pathology sections using AI; ten whole mount prostate pathology sections have been tested so far, with similar Gleason Grade in the AI and human pathologist's diagnosis.
The group has not started testing the system with human patients.
"The system was programmed to learn and gradually improve how it interpreted the samples. Our result show that the diagnosis the AI reported was at a level comparable to that of a pathologist.
"Furthermore, it could accurately classify the malignant levels of prostate cancer," Guo added.
--IANS
vc/ksk/hs
Disclaimer: No Business Standard Journalist was involved in creation of this content
You’ve reached your limit of {{free_limit}} free articles this month.
Subscribe now for unlimited access.
Already subscribed? Log in
Subscribe to read the full story →
Smart Quarterly
₹900
3 Months
₹300/Month
Smart Essential
₹2,700
1 Year
₹225/Month
Super Saver
₹3,900
2 Years
₹162/Month
Renews automatically, cancel anytime
Here’s what’s included in our digital subscription plans
Exclusive premium stories online
Over 30 premium stories daily, handpicked by our editors


Complimentary Access to The New York Times
News, Games, Cooking, Audio, Wirecutter & The Athletic
Business Standard Epaper
Digital replica of our daily newspaper — with options to read, save, and share


Curated Newsletters
Insights on markets, finance, politics, tech, and more delivered to your inbox
Market Analysis & Investment Insights
In-depth market analysis & insights with access to The Smart Investor


Archives
Repository of articles and publications dating back to 1997
Ad-free Reading
Uninterrupted reading experience with no advertisements


Seamless Access Across All Devices
Access Business Standard across devices — mobile, tablet, or PC, via web or app
