Sadly, there are prostate cancer cases where men relapse and the cancer returns. There are current methods already in place to try and detect these changes early, and they are effective. However, a newly developed artificial intelligence has shown the potential to be much more precise.
That is, to be more accurate in its predictions of the likelihood of prostate cancer relapse, and in its prediction of prostate cancer’s aggression.
It was at the Case Western Reserve University where the CCIPC team put together this new AI technology. Which they called RadClip. In essence, it’s a nomogram, it’s function consists of producing advanced imaging. With said imaging, RadClip can anticipate any kind of post-surgical biochemical activity that might suggest a relapse. It can also predict adverse pathology pre-operation.
What new treatment will RadClip’s AI bring to prevent a relapse?
First of all, the precision of RadClip’s AI will allow for more specifically targeted medical care. This, in turn, enables doctors to keep their treatment more balanced. In other words, making sure not to undertreat or overtreat prostate cancer patients.
This leads to more effective treatment and lessened secondary effects or prevention of them.
The way this AI can be especially helpful for doctors and researchers is that they can train it with data. For instance, feeding it data from patients, since AI is very effective at quickly and efficiently processing large quantities of data. And it can learn from these datasets. With it RadClip’s AI algorithm can identify specific distinguishing factors in prostate textures with MRI scans, particularly with tumors; whether from within or outside of them. This is one aspect where RadClip can help to predict a prostate cancer relapse in a given patient.
Additionally, researchers can combine RadClip with other contemporary techniques and treatments. For example, combining it with RadS, biopsy Gleason scores and PSA levels before surgery has taken place. Tests have already undergone with numerous patients combining these possibilities, showing great promise and potential.
Besides predicting a relapse, can AI help with surgery?
Thanks to the AI’s learning and algorithms and its access to these invaluable datasets, RadClip has actually proven to be much more effective than other methods at deciding how to approach surgery. Its precision and predictive capabilities have made it much easier to anticipate how much of a given tumour should be extracted.
This is especially useful for surgeons and oncologists. They have much more room to adapt their treatment and plans for their patients individually and provide them with better care less invasive care where possible.
Check our resources section for further information. Where you can also find inspiration from success and survival stories, or we can help you connect with a prostate cancer survivor.
If you have any questions, or just want to talk, call us at our toll-free hotline: 1(833)HEAL-MEN. You are not alone in this journey. We are here to help guide and support you through it, every step of the way.