The advent of Artificial Intelligence (AI) has heralded a transformative era in medicine, with precision oncology emerging as a primary beneficiary of this technological advancement. Precision oncology, which focuses on tailoring cancer treatment based on individual patient characteristics and the molecular profile of their tumors, has seen significant enhancements through AI. This manuscript explores the role of AI in precision oncology, highlighting its contributions to improving diagnostic accuracy, personalizing treatment plans, predicting patient outcomes, and advancing drug discovery. By leveraging machine learning algorithms and large-scale data analysis, AI has facilitated more nuanced and effective cancer care, offering the potential for earlier detection, more targeted therapies, and ultimately, better patient outcomes. Despite these advancements, the integration of AI into clinical practice is not without challenges, including data privacy concerns, the need for robust validation, and the requirement for interdisciplinary collaboration. This discussion underscores the transformative impact of AI on precision oncology while also addressing the obstacles that need to be overcome to fully realize its potential.
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Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report
