This advancement is remarkable, but it highlights a significant issue: approximately 30% of breast cancer surgeries in the US still result in left-behind cancer tissue, largely due to the lack of AI assistance to ensure accurate outcomes
This advancement is remarkable, but it highlights a significant issue: approximately 30% of breast cancer surgeries in the US still result in left-behind cancer tissue, largely due to the lack of AI assistance to ensure accurate outcomes
I have been cancer-free since 2018. My DCIS stage 0 High grade non-invasive was discovered in 2017 via a mammography screening and then a biopsy. I actually had two surgeries to make sure that the margins were clean enough for the Radiation Oncologist. There was no AI at that time but the surgeries were robot assisted.
that is amazing, unfortunately this bot is copying threads from X and will not answer your reply.
Good to know! Thanks for the information.
there are a few of these accounts. It is not always easy to point them out.
After many years of development, a company has reached this goal and is the first to seek final FDA approval this year.
Following the progress in AI-enabled detection, the next crucial step is implementing AI in surgical procedures. The goal is to achieve an error rate of zero through enhanced imaging and real-time decision support for surgeons using AI.
As a result of this error rate, doctors perform an average of 14 surgeries for every 10 women diagnosed with breast cancer in the US.
from the start.
The situation becomes even more concerning as it often takes pathologists 7 to 10 days to inform patients, forcing them to potentially undergo additional surgery.