AI AND THE CLOUD: UNLOCKING THE POWER OF BIG DATA IN MODERN HEALTHCARE
The application of artificial intelligence (AI) in conjunction with cloud computing in contemporary healthcare is bringing about a revolution in patient care, medical research, and the efficiency of operational procedures. Patient records, medical imaging, genetic information, and real-time monitoring data from wearables are all examples of the massive volumes of data that are produced by the healthcare industry. The use of this data poses not only a difficulty but also an opportunity to improve diagnoses, treatment, and personalised care. Artificial intelligence algorithms are able to handle and analyse enormous information by utilising the scalable architecture of the cloud. This allows them to discover patterns and insights that would otherwise be impossible to identify. As a result of this synergy, predictive analytics for disease outbreaks, early identification of illnesses such as cancer, personalised treatment plans based on genetic profiles, and optimised healthcare logistics are all made possible. Furthermore, cloud systems that are powered by artificial intelligence enhance data accessibility and interoperability, which enables smooth cooperation across healthcare providers while simultaneously assuring data security and compliance with laws. However, ethical considerations and data privacy continue to be important challenges, since it is necessary to protect patient information in order to preserve trust and adhere to regulatory norms. The purpose of this book is to investigate how artificial intelligence (AI)-powered cloud solutions are enabling the potential of big data in the healthcare industry, therefore enhancing efficiency, enhancing patient outcomes, and paving the road for the future of precision medicine. Additionally, it investigates the technological, ethical, and regulatory problems that are linked with this paradigm change, providing insights into the methods of integration that are both sustainable and responsible. A change towards data-driven decision-making is being sparked by the use of artificial intelligence (AI) and cloud technologies in the healthcare industry. This shift is expected to reduce reliance on conventional diagnostic approaches and enhance accuracy through the utilisation of automated systems. Using AI models that have been trained on big datasets, for example, it is now possible to detect early signs of illnesses in medical imaging with a level of precision that is equivalent to, and sometimes even exceeds, that of human specialist. In regions with limited access to specialised medical skills, this breakthrough is especially helpful since it is particularly advantageous in locations with low resource