How AI Is Optimizing the Detection and Management of Prostate Cancer Academic Article

abstract

• Annually, approximately 20 million men are prostate-specific-antigen screened, and 1.3 million undergo an invasive biopsy to diagnose roughly 200,000 new cases, 50% of which end up being indolent. Approximately 30,000 men die of prostate cancer (PCa) yearly. Importantly, an estimated US$8 billion is spent on unnecessary biopsies. Thus, an integrative analysis and predictive model of prognosis is needed to help identify only lethal and aggressive forms of the disease.

authors

• Yadav, Kamlesh

author list (cited authors)

• Yadav, K. K.

citation count

• 3

publication date

• September 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Pulse  Journal

keywords

• Artificial Intelligence
• Humans
• Male
• Models, Biological
• Prostatic Neoplasms

PubMed Central ID

• 30273137

Digital Object Identifier (DOI)

• 10.1109/mpul.2018.2866354

start page

• 19

end page

• 19

volume

• 9

issue

• 5