Synergizing AI and Healthcare: Pioneering Advances in Cancer Medicine for Personalized Treatment
DOI:
https://doi.org/10.47709/ijmdsa.v3i01.3562Keywords:
Key words: Virtual tumor boards, liquid biopsies, drug discovery, challenges, ethical concerns, patient privacy, regulatory frameworks, collaborative efforts, healthcare integration, personalized cancer therapies, AI, AI, cancer medicine, transformative role, diagnosis, smart revolution, treatment optimization, predictive modeling, continuous monitoring, post-treatment care, innovationAbstract
This paper investigates how Artificial Intelligence (AI) is changing the field of cancer medicine. It is organized into nine major sections that illustrate the profound effects of AI on different aspects of cancer care. Starting from the early phases of the disease, AI shows how it can transform conventional diagnostic methods by providing quick and accurate analyses of medical imaging, pathology slides, and genetic data. The paper then goes into the era of personalized cancer therapies, highlighting the ways in which AI helps to customize treatment based on individual genetic and molecular profiles. Finally, the paper discusses the smart revolution in healthcare, which is driven by AI integration, highlighting the impact of AI on diagnosis precision, treatment optimization, and resource allocation. Moreover, the story delves into how AI is being incorporated into healthcare outside of diagnosis and treatment, including areas like predictive modeling, ongoing monitoring, and after-treatment care. AI has the capacity to revolutionize cancer medicine by improving current practices and fostering innovation in clinical research, diagnosis modalities, and treatment planning. The paper highlights the revolutionary boundaries that AI has created, including liquid biopsies, virtual tumor boards, and the speeding up of drug discovery processes. The narrative weaves a thorough overview of AI's transformative journey in cancer care, offering insights into its current impact and the promising possibilities that lie ahead.
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Copyright (c) 2024 Abdul Mannan Khan, Murad Khan, Muhammad Umer Qayyum, Ibrar Hussain
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