Northeastern University researchers have developed a new web-based tool that utilizes artificial intelligence (AI) to aid in the faster detection of prostate cancer. Prostate cancer is the most common cancer among men in the United States and is the second-leading cause of cancer death. Early detection is crucial for successful treatment and potential cure. However, there is a shortage of pathologists in the country, and many individuals are not screened until it’s too late.
The current method of detecting prostate cancer involves manual review of biopsy slides by doctors, which can be time-consuming. The new AI tool developed by Northeastern University researchers significantly reduces the time required for diagnosis. While the current process can take up to an hour, the new tool only takes seconds, providing a more accurate and timely diagnosis.
The web-based tool can be accessed through any internet browser and is designed to be quick and easy to use. Pathologists can upload biopsy scans with just a few clicks. The tool uses deep learning algorithms to analyze the scans and predict the severity of the prostate cancer based on the International Society of Urologic Pathologists (ISUP) grading model. The tool also offers information to help determine the next steps of treatment.
In a recent pilot research survey conducted by the lead researcher, a small group of pathologists tested the new tool and provided feedback. The team will work on improving the technology based on the feedback received during the pilot study.
The goal of the researchers is to integrate AI into the clinical process more easily. By making the tool accessible through a web browser, it can be used in doctor’s offices worldwide that have computers and internet access.
The study focused on the usability and accessibility of the tool, with five pathologists participating. The results showed that 60% of users found the application easy to navigate, with an average rating of 5.5 out of 7 for the presented information. In future studies, the team plans to include more participants to further enhance the user experience and clinical impact of the web application.
The development of this AI tool has the potential to expedite the diagnosis of prostate cancer, reduce treatment time, and improve patient care. It addresses the nationwide shortage of pathologists and aims to catch prostate cancer at an early stage for better outcomes. As further improvements are made to the tool, it holds promise for broader use in the medical field.
References:
– https://www.newsapi.com.au/lifestyle/health/new-ai-tool-detects-prostate-cancer-faster-aiding-timely-diagnosis/news-story/6ae24e82d72d3b6e283484eda346f77e
– Northeastern University researchers’ study: https://doi.org/10.3390/cancers13081954
