Agrawal Somya, Vagha Sunita
Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Cureus. 2024 Aug 5;16(8):e66225. doi: 10.7759/cureus.66225. eCollection 2024 Aug.
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.
前列腺癌仍然是一项重大的全球健康挑战,其特点是发病率高,发病率和死亡率也很高。早期检测对于改善患者预后至关重要,但目前的诊断方法在准确性和可靠性方面存在局限性。人工智能(AI)已成为应对前列腺癌护理中这些挑战的一种有前景的工具。包括机器学习算法和先进成像技术在内的人工智能技术提供了提高诊断准确性、优化治疗策略和实现个性化患者护理的潜在解决方案。本综述探讨了人工智能在前列腺癌诊断中的应用现状,重点介绍了最先进的工具及其临床意义。通过综合近期进展并讨论未来方向,本综述强调了人工智能在彻底改变前列腺癌诊断和管理方面的变革潜力。最终,将人工智能整合到临床实践中有可能改善前列腺癌患者的预后和生活质量。