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 …

A survey on graph-based deep learning for computational histopathology

D Ahmedt-Aristizabal, MA Armin, S Denman… - … Medical Imaging and …, 2022 - Elsevier
With the remarkable success of representation learning for prediction problems, we have
witnessed a rapid expansion of the use of machine learning and deep learning for the …

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 …

Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice

C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …

Independent real‐world application of a clinical‐grade automated prostate cancer detection system

LM da Silva, EM Pereira, PGO Salles… - The Journal of …, 2021 - Wiley Online Library
Artificial intelligence (AI)‐based systems applied to histopathology whole‐slide images have
the potential to improve patient care through mitigation of challenges posed by diagnostic …

Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

Additive mil: Intrinsically interpretable multiple instance learning for pathology

SA Javed, D Juyal, H Padigela… - Advances in …, 2022 - proceedings.neurips.cc
Abstract Multiple Instance Learning (MIL) has been widely applied in pathology towards
solving critical problems such as automating cancer diagnosis and grading, predicting …

Augmenting pathologists with NaviPath: design and evaluation of a human-AI collaborative navigation system

H Gu, C Yang, M Haeri, J Wang, S Tang… - Proceedings of the …, 2023 - dl.acm.org
Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-
resolution tumor images to search for pathology patterns of interest. However, existing AI …

A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …