Artificial Intelligence for Clinical Diagnosis and Treatment of Prostate Cancer

Artificial Intelligence for Clinical Diagnosis and Treatment of Prostate Cancer

As medical science and technology progress towards the era of “big data”, a multi-dimensional dataset pertaining to medical diagnosis and treatment is becoming accessible for mathematical modelling. However, these datasets are frequently inconsistent, noisy, and often characterized by a significant...

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Bibliographic Details
Main Authors: Ali A. Rabaan, Muhammed A. Bakhrebah, Hajir AlSaihati, Saad Alhumaid, Roua A. Alsubki, Safaa A. Turkistani, Saleh Al-Abdulhadi, Yahya Aldawood, Abdulmonem A. Alsaleh, Yousef N. Alhashem, Jenan A. Almatouq, Ahlam A. Alqatari, Hejji E. Alahmed, Dalal A. Sharbini, Arwa F. Alahmadi, Fatimah Alsalman, Ahmed Alsayyah, Abbas Al Mutair
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Cancers
Subjects:
artificial intelligence
clinical diagnosis
prostate cancer
machine learning
Online Access:https://www.mdpi.com/2072-6694/14/22/5595

Internet

https://www.mdpi.com/2072-6694/14/22/5595

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