The Transformative Role of AI in Lung Cancer Treatment
DOI:
https://doi.org/10.61173/qd4z4923Keywords:
AI in healthcare, lung cancer, precision medicine, Machine Learning, Delayed DiagnosisAbstract
Lung cancer has long cast a shadow over countless families, presenting a disease that is often diagnosed too late, when treatment options narrow and hope becomes harder to hold onto. Its insidious nature lies in those early, silent stages, where symptoms are absent but the opportunity for intervention is greatest. Despite significant advances in imaging and genomics, lung cancer remains a leading cause of cancer-related mortality, often due to delays in diagnosis and the inherent challenges of tailoring treatments for each unique patient. This struggle highlights a critical gap: current healthcare systems, reliant on human interpretation alone, are often overwhelmed, leading to variations in care and missed opportunities for early intervention. To address this, this review explores how artificial intelligence can serve as a powerful partner to medical providers, enhancing their ability to detect tumors in the early stages, provide precision medicine, and improve patient outcomes. By examining real-world artificial intelligence (AI) applications, this work aims to illustrate a future where technology and human expertise collaborate not only to save lives but to make precision medicine an accessible reality for all.
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