Artificial intelligence–based algorithms for the diagnosis of prostate cancer

Online journal article in Surgical Pathology that offers 1.0 continuing education (CME) credit that can be used to fulfill CC Part II requirements.

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Intended Audience: Pathologists, Residents, Clinical Scientists, Pathologist Assistants

Upon completion of this activity, you will be able to:

List challenges facing pathology laboratories that process and interpret large numbers of prostatic samples.
Describe applications of artificial...

Intended Audience: Pathologists, Residents, Clinical Scientists, Pathologist Assistants

Upon completion of this activity, you will be able to:

List challenges facing pathology laboratories that process and interpret large numbers of prostatic samples.
Describe applications of artificial intelligence (AI)-based algorithms that correlate with cancer diagnosis, grading, and prostatic predictive variables.
Discuss limitations to current AI applications and potential technological improvements that may assist in their adoption

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