Abstract
Artificial intelligence (AI) holds significant promise for advancing molecular oncology and improving personalized cancer care. This review highlights the numerous benefits of AI integration in various aspects of molecular oncology, from data analysis and interpretation to streamlining clinical trial matching. AI systems can aid clinical decision-making by rapidly analyzing complex molecular data, such as next-generation sequencing results, and suggesting treatment options based on the patient’s tumor profile. Furthermore, AI can facilitate collaboration among healthcare professionals, monitor treatment response, and serve as a valuable educational resource for oncologists. The incorporation of AI in electronic health records and pharmacogenomics can lead to improved clinical workflows and more personalized therapeutic approaches. In addition, AI can enhance precision oncology research by assisting in the identification of novel molecular targets and uncovering new therapeutic strategies. As AI technology continues to evolve, its role in molecular oncology is expected to expand, leading to better patient outcomes, and more personalized care. Nevertheless, ethical considerations and patient privacy remain crucial aspects that need to be addressed to ensure the responsible and effective use of AI in the field of molecular oncology.
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