Patients Benefit From AI Used in Prostate Cancer Screening

Patients Benefit from AI Used in Prostate Cancer Screening 

Prostate cancer is one of the deadliest cancers in the US, with one new case diagnosed every 2 minutes. In addition, there is a death from prostate cancer every 15 minutes. Early detection is critical in the treatment of prostate cancer. Beginning at the age of 40, men should start to discuss potential risk factors for prostate cancer with their primary care provider and will be recommended to begin screening between the age of 45 – 50. Prostate cancer is highly treatable when detected early, even more so than most cancers. Cancer detection AI is designed to make screening efficient and ensure proper diagnoses simultaneously. This week’s Domain Knowledge will explore recent advancements in prostate cancer care.

One method of supplementing prostate tests is using MRI to analyze potential lesions. A new AI tool enhances the efficiency and accuracy of this MRI Screening process. An AI read of the images saves radiologists significant amounts of time while also improving scoring accuracy.

Improving access to screening is another approach to combating prostate cancer. Cornell researchers have developed a portable rapid prostate cancer screening kit for areas with limited access to healthcare. Black populations, in particular, have a significantly lower rate of prostate tests, with close to 43 percent of men over 40 never being tested.

On the research side, AI is helping produce more in-depth 3D tissue imaging to learn more about aggressive forms of prostate cancer. This information will play an essential role in deciding the course of care on a more personalized level for the patient.

There is also research in progress predicting the biochemical recurrence of prostate cancer. A better understanding of the risk factors will equip clinicians to identify patients with the highest risk and, in the future, potentially predict the prognosis of individual prostate cancer patients.

That’s a wrap for this week’s review of news and happenings in the healthcare AI space. In closing, I’ll leave you with an invitation to learn more about the benefits of using an AI Hub to manage multiple applications across your clinical needs and offer you a personal demo of Ferrum’s platform and growing AI catalog.

If you have AI tips, suggestions, or resources you’d like to share, leave us a note below, and please feel free to suggest topics you would like to see covered in future posts.

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Alex Uy

Alex is a recent UC San Diego graduate with a degree in economics and communications. His focus is digital marketing, and he has a passion for technology-driven healthcare solutions.

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