How AI is optimizing the detection and management of prostate cancer

Kamlesh K. Yadav

doi:10.1109/MPUL.2018.2866354

How AI is optimizing the detection and management of prostate cancer

Kamlesh K. Yadav

Icahn School of Medicine at Mount Sinai

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English
Article number	8471154
Pages (from-to)	19
Number of pages	1
Journal	IEEE Pulse
Volume	9
Issue number	5
DOIs	https://doi.org/10.1109/MPUL.2018.2866354
State	Published - 1 Sep 2018

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title = "How AI is optimizing the detection and management of prostate cancer",

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.",

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AB - 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.

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How AI is optimizing the detection and management of prostate cancer

Abstract

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