Artificial intelligence and pathomics: prostate cancer

PA Moghadam, A Bashashati… - Urologic …, 2024 - urologic.theclinics.com
Since the introduction of the hematoxylin and eosin (H&E)-stained slide in 1876 as the
primary tool in the pathologist's toolbox up until the last decade, few tools, other than the …

Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer

M Zhu, R Sali, F Baba, H Khasawneh… - American Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
Histopathology, which is the gold-standard for prostate cancer diagnosis, faces significant
challenges. With prostate cancer ranking among the most common cancers in the United …

Repeated prostate cancer screening using prostate-specific antigen testing and magnetic resonance imaging: a secondary analysis of the STHLM3-MRI randomized …

T Nordström, M Annerstedt, A Glaessgen… - JAMA Network …, 2024 - jamanetwork.com
Importance Magnetic resonance imaging (MRI) has been proposed to enhance the benefit-
to-harm ratio of prostate cancer screening, but data on repeated screening outcomes are …

[HTML][HTML] The GenoVA study: Equitable implementation of a pragmatic randomized trial of polygenic-risk scoring in primary care

JL Vassy, CA Brunette, MS Lebo, K MacIsaac… - The American Journal of …, 2023 - cell.com
Polygenic risk scores (PRSs) hold promise for disease risk assessment and prevention. The
Genomic Medicine at Veterans Affairs (GenoVA) Study is addressing three main challenges …

PI-RADS version 2.0 versus version 2.1: comparison of prostate cancer gleason grade upgrade and downgrade rates from MRI-targeted biopsy to radical …

EC Yilmaz, Y Lin, MJ Belue… - American Journal of …, 2024 - Am Roentgen Ray Soc
BACKGROUND. Precise risk stratification through MRI/ultrasound (US) fusion-guided
targeted biopsy (TBx) can guide optimal prostate cancer (PCa) management. OBJECTIVE …

[HTML][HTML] Development of AI-generated medical responses using the ChatGPT for cancer patients

J Lee, IS Yoo, JH Kim, WT Kim, HJ Jeon, HS Yoo… - Computer methods and …, 2024 - Elsevier
Abstract Background and Objective To develop a healthcare chatbot service (AI-guided bot)
that conducts real-time conversations using large language models to provide accurate …

Trends in pre-biopsy MRI usage for prostate cancer detection, 2007–2022

SJC Soerensen, S Li, ME Langston, RE Fan… - Prostate Cancer and …, 2024 - nature.com
Background Clinical guidelines favor MRI before prostate biopsy due to proven benefits.
However, adoption patterns across the US are unclear. Methods This study used the …

Management of Patients With a Negative Multiparametric Prostate MRI Examination: AJR Expert Panel Narrative Review

N Tan, JR Pollock, DJA Margolis, AR Padhani… - American Journal of …, 2024 - ajronline.org
Multiparametric MRI (mpMRI) of the prostate aids risk stratification of patients with elevated
PSA levels. Although most clinically significant prostate cancers are detected by mpMRI …

Targeted biopsy of the prostate

DW Schroeder, BR Foster, DJ Young, FV Coakley - Abdominal Radiology, 2024 - Springer
Diagnostic multiparametric MRI of the prostate has steadily evolved over the last three
decades and can now reliably depict the dominant tumor in most men with prostate cancer …

ALL-IN: AL ocal GL obal Graph-Based DI stillatio N Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk …

P Azadi, J Suderman, R Nakhli, K Rich, M Asadi… - … Conference on Medical …, 2023 - Springer
The utility of machine learning models in histopathology image analysis for disease
diagnosis has been extensively studied. However, efforts to stratify patient risk are relatively …