Lung Cancer: AI, Advanced Diagnostics, Personalized Care
*Corresponding Author: Serena Valenti, Rome Health Oncology Department, Italy, Email: serena.valenti@romehealth.itReceived Date: Nov 01, 2025 / Accepted Date: Dec 01, 2025 / Published Date: Dec 01, 2025
Citation: Valenti S (2025) Lung Cancer: AI, Advanced Diagnostics, Personalized Care. jcd 09: 328.DOI: 10.4172/2476-2253.1000328
Copyright: © 2025 Serena Valenti This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Artificial \textit{Intelligence} (AI) is transforming lung cancer diagnosis and prognosis, enhancing accuracy through the fusion
of image and clinical data. Significant advancements in AI technologies show promise for early detection, though challenges in
clinical integration persist. Emerging technologies, including liquid biopsies and advanced imaging, alongside AI-driven analyses,
are improving detection rates and facilitating earlier intervention for patients. Liquid biopsy techniques, being non-invasive, are
revolutionizing early diagnosis and treatment monitoring, offering critical insights into therapeutic responses.
