2026· Clinical advances in hematology & oncology : H&O· Vol 24 5, pp.
292-300
· 0 citations
Medicine
TL;DR
This review summarizes the current state of AI applications in the diagnosis, risk stratification, and treatment of prostate cancer, highlighting recent advances and emerging opportunities in this ever-changing field.
The present study delves into the significant contributions that artificial intelligence (AI) has made to the field of cancer, and specifically highlights the applications of AI in diagnosis, personalized treatment, and clinical trial optimization.
{"name":"Y. Ismail","email":"ismailcsp@crescent.education","af, {"name":"F. Yasirahsabreen","email":"ismailcsp@crescent.educat· Future Journal of Pharmaceut...· 0 citations
Artificial intelligence algorithms exhibit robust diagnostic accuracy for csPCa detection, matching expert clinicians and offering significant potential to standardize prostate cancer care to establish long-term clinical utility.
Anjas Anhar Prastowo, M. Ali· World Journal of Advanced Re...· 0 citations
The role of multimodal artificial intelligence and machine learning in bridging the gap in interpreting heterogeneous modalities to improve risk prediction, prognostic assessment, and treatment decision-making in precision oncology is focused on.
Shruthi Suresh, A. Parvathy, Megha Raj et al.· Frontiers in Digital Health· 0 citations
This Mini Review summarizes advances from 2021 to 2026 in artificial intelligence (AI) applications across the OC care continuum, focusing on early detection, treatment decision-making, prognostic assessment, clinical implementation, and health equity.
The aim of this review was to summarize current evidence on AI-based imaging analysis, radiomics, and pathomics for PCa detection, characterization, risk stratification, and pathological assessment, while highlighting the methodological challenges that currently limit clinical implementation.
R. Rahota, Andrei-Vlad Bădulescu, B. Buhas et al.· Journal of Clinical Medicine· 0 citations
A review examines the current state of AI applications leveraging routine blood test parameters—including hematological and biochemical markers—to predict breast cancer risk, and finds promising results.
E. I. Obeagu· Asian Journal of Dental and...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.