Artificial Intelligence (AI)-Enabled Technology in Medicine-Advancing Holistic Healthcare Monitoring and Control Systems
Kali Charan Rath, Alex Khang, Sunil Kumar Rath, Nibedita Satapathy, Suresh Kumar Satapathy, Sitanshu Sekhar Kar
Abstract
This chapter presents an exploration of the potential of AI-enabled integrated medicine in advancing holistic healthcare monitoring and control systems for cancer treatment. The integration of multiple treatment modalities, including radiotherapy, chemotherapy, immunotherapy, targeted therapy, hormone therapy, surgical interventions, palliative care, integrative medicine, stem cell transplantation, precision medicine, cryotherapy, photodynamic therapy, radiofrequency ablation, proton therapy, gene therapy, CAR-T cell therapy, angiogenesis inhibitors, phototherapy, electro-chemotherapy, and hyperthermia therapy, forms the core of this comprehensive approach. Leveraging AI algorithms, the system analyzes extensive patient data, encompassing medical records, genetic profiles, and lifestyle factors, to gain a nuanced understanding of personalized cancer care requirements. This integration enables tailored treatment plans and evidence-based decision-making by healthcare professionals. Real-time monitoring and control systems allow for timely interventions, adjustments, and improved patient safety. The incorporation of complementary therapies and palliative care ensures a holistic approach to cancer treatment. Collaborative efforts and data aggregation further fuel advancements in cancer research and population health studies. The AI-enabled integrated medicine approach holds significant promise in advancing cancer care, enhancing treatment outcomes, and promoting comprehensive well-being.