The 2022 World Health Organization classification of tumors of the urinary system and male genital organs—part B: prostate and urinary tract tumors

GJ Netto, MB Amin, DM Berney, EM Compérat, AJ Gill… - European urology, 2022 - Elsevier
Abstract The 2022 World Health Organization (WHO) classification of the urinary and male
genital tumors was recently published by the International Agency for Research on Cancer …

Artificial intelligence for clinical oncology

BH Kann, A Hosny, HJWL Aerts - Cancer Cell, 2021 - cell.com
Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

W Bulten, K Kartasalo, PHC Chen, P Ström… - Nature medicine, 2022 - nature.com
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

A Esteva, J Feng, D van der Wal, SC Huang… - NPJ digital …, 2022 - nature.com
Prostate cancer is the most frequent cancer in men and a leading cause of cancer death.
Determining a patient's optimal therapy is a challenge, where oncologists must select a …

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

H Olsson, K Kartasalo, N Mulliqi, M Capuccini… - Nature …, 2022 - nature.com
Unreliable predictions can occur when an artificial intelligence (AI) system is presented with
data it has not been exposed to during training. We demonstrate the use of conformal …

A multi-resolution model for histopathology image classification and localization with multiple instance learning

J Li, W Li, A Sisk, H Ye, WD Wallace, W Speier… - Computers in biology …, 2021 - Elsevier
Large numbers of histopathological images have been digitized into high resolution whole
slide images, opening opportunities in developing computational image analysis tools to …

Stimulated Raman scattering microscopy enables gleason scoring of prostate core needle biopsy by a convolutional neural network

J Ao, X Shao, Z Liu, Q Liu, J Xia, Y Shi, L Qi, J Pan, M Ji - Cancer Research, 2023 - AACR
Focal therapy (FT) has been proposed as an approach to eradicate clinically significant
prostate cancer while preserving the normal surrounding tissues to minimize treatment …

Artificial intelligence predictive model for hormone therapy use in prostate cancer

DE Spratt, S Tang, Y Sun, HC Huang, E Chen… - NEJM …, 2023 - evidence.nejm.org
Background Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with
localized prostate cancer. However, ADT can negatively impact quality of life, and there …

[HTML][HTML] Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis

K Kourou, KP Exarchos, C Papaloukas… - Computational and …, 2021 - Elsevier
Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical
oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep …

Artificial intelligence applications in prostate cancer

A Baydoun, AY Jia, NG Zaorsky, R Kashani… - Prostate cancer and …, 2024 - nature.com
Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare
delivery. These AI tools are often aimed to improve accuracy and efficiency of histopathology …