Litcius/Paper detail

A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook

Somya Agrawal, Sunita Vagha

2024Cureus17 citationsDOIOpen Access PDF

Abstract

Prostate cancer remains a significant global health challenge, characterized by high incidence and substantial morbidity and mortality rates. Early detection is critical for improving patient outcomes, yet current diagnostic methods have limitations in accuracy and reliability. Artificial intelligence (AI) has emerged as a promising tool to address these challenges in prostate cancer care. AI technologies, including machine learning algorithms and advanced imaging techniques, offer potential solutions to enhance diagnostic accuracy, optimize treatment strategies, and personalize patient care. This review explores the current landscape of AI applications in prostate cancer diagnostics, highlighting state-of-the-art tools and their clinical implications. By synthesizing recent advancements and discussing future directions, the review underscores the transformative potential of AI in revolutionizing prostate cancer diagnosis and management. Ultimately, integrating AI into clinical practice can potentially improve outcomes and quality of life for patients affected by prostate cancer.

Topics & Concepts

MedicineProstate cancerTransformative learningApplications of artificial intelligenceClinical PracticeHealth careArtificial intelligenceMedical physicsReliability (semiconductor)CancerPatient careIntensive care medicineComputer scienceInternal medicinePhysicsPedagogyEconomic growthNursingPsychologyFamily medicineEconomicsQuantum mechanicsPower (physics)Artificial Intelligence in Healthcare and EducationProstate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging