- Doctors at Peterborough City Hospital in the UK are taking part in a trial using AI software designed to improve the accuracy of breast cancer biopsy analysis.
- The AI-powered diagnostic tool has been shown to improve pathologists’ productivity, reduce the need for repeat biopsies in patients and has been successful in prostate cancer care.
OUR TAKE
This AI tool aims to improve patient experience and quality of care by analysing breast biopsy samples to increase the accuracy and efficiency of pathologists in diagnosing breast cancer.
-Rae Li, BTW reporter
What happened
Doctors at Peterborough City Hospital in the UK are taking part in a 12-month trial funded by the National Institute for Health and Care Research using an advanced AI diagnostic tool developed by Ibex Medical Analytics.
The tool uses algorithms, combined with input and expertise from over 100 global pathologists, to improve the accuracy and efficiency of pathologists’ breast cancer diagnosis by analysing breast biopsy samples.
In addition, the AI technology uses advanced image analysis techniques to help pathologists identify cancers faster through a series of exams, thereby reducing diagnostic time and the need for patients to undergo repeat biopsies.
Also read: Nvidia adapts AI flagship chip for China amidst U.S. export controls
Also read: What is DataRobot: Revolutionising machine learning and AI
Why it’s important
The application of AI technology in healthcare, especially in pathology, can significantly improve diagnostic accuracy. This not only helps in the early detection and treatment of diseases, but also reduces the risk of misdiagnosis and missed diagnosis, thus improving the survival rate and quality of life of patients.
Meanwhile, with AI-assisted diagnostic tools, pathologists can analyse and interpret biopsy samples faster, allowing them to handle more cases or focus on more complex diagnostic tasks. The successful application of this AI technology demonstrates the potential of medical AI, encouraging more research and investment into the field and driving continued advances in medical technology.
