A Comprehensive Approach to Cancer Care Through the Merging of Oncology, Radiology, Nuclear Medicine, and Imaging

Abstract

Author(s): Sanjay Kumar Mire, Lakhan Lal Kashyap, Mahendra Kumar Verma

There is still a significant need for novel approaches to the treatment and management of cancer, which poses a worldwide health concern. The fact that cancer is a prominent cause of death and illness around the world highlights the need for integrative cancer care. Due to the lack of precision and efficacy of conventional segmented approaches to diagnosis and treatment, there is a desperate requirement for a unified and interdisciplinary strategy. There are several obstacles to overcome when attempting to combine different medical specialties. All of them require deliberate efforts to overcome, and they cover things like logistical complexities, technical harmonization, and the promotion of interdisciplinary collaboration. This research proposes the use of an artificial intelligence (AI) based Molecular Imaging Therapy Integration framework (AI-MITIF) to combine molecular imaging with targeted medicines to create individualized care plans. The potential of an integrated strategy in treating cancer is enormous. It allows for more exact tumour assessment and individualized treatment planning, as well as real-time monitoring for rapid course corrections, and it helps find cancers earlier according to improved imaging technology. In addition, its applications in cancer study and drug discovery have widened. Validation and improvement of the integrated method rely heavily on simulation. Critical insights into efficiency, affordability, and influence on the health of patients are provided by computational models and real-world data analytics. The outcomes of the simulation demonstrate the revolutionary nature of this method.

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