Healthcare practitioners can access real-time recommendations and guidelines through the incorporation of AI into clinical decision support systems, improving patient care and safety. The chapter offers a thorough examination of AI and ML applications in healthcare, with a focus on its function in enhancing patient outcomes in terms of diagnosis and treatment. Healthcare has undergone a transformation because of AI and ML, which efficiently analyse massive volumes of medical data. They particularly excel in diagnostics. In interpreting medical pictures like X-rays and MRIs, AI-powered systems have shown extraordinary accuracy, resulting in early illness diagnosis and fewer diagnostic errors.
TopIntroduction
The relationship between medical research and Artificial Intelligence (AI) has transformed the breadth of diagnosis, treatment, and total patient care in the modern healthcare environment. The healthcare sector is experiencing a paradigm shift as a result of AI's revolutionary power, bringing in a new era of precision, efficiency, and personalised therapy. In order to show the enormous potential and hitherto unheard-of prospects that result from the integration of AI and healthcare, this book tries to study the complex interaction between the two fields. (Sharma et.al.,2022)
The field of artificial intelligence, which is defined by the creation of intelligent computer systems that are able to carry out tasks that ordinarily need human intelligence, has developed into a key component of innovation in a number of different industries. Artificial intelligence (AI) has surpassed traditional boundaries in the healthcare industry, providing professionals with cutting-edge tools and methods to optimise resource allocation, expedite operations, and deliver customised medical solutions. (Shuaib et.al,2020) Artificial intelligence (AI) technologies are transforming the healthcare industry, offering a future that is not only data-driven but also fundamentally patient-centric. These technologies range from machine learning and natural language processing to predictive analytics and pattern identification.
AI's importance in healthcare stems from its capacity to enhance human talents, allowing medical personnel to make well-informed judgements quickly and precisely. AI algorithms can quickly spot patterns, forecast results, and provide individualised treatment plans by assimilating large datasets. (Miller et.al.,2018) This improves the standard of care and patient outcomes. Furthermore, healthcare personnel can concentrate more on the intricate and subtle facets of patient care because to AI's ability to automate repetitive chores and administrative procedures, which promotes a compassionate and all-encompassing approach to patient care.
This chapter delves into the complexities of AI applications in healthcare, examining how they affect administration, diagnosis, and treatment. We also want to talk about the ethical, legal, and social ramifications of incorporating AI into the healthcare system, highlighting the necessity of a well-rounded strategy that puts patient safety, data privacy, and legal compliance first. (Morley et.al.,2020)
This chapter seeks to offer a thorough grasp of the transformative role that AI will play in reshaping healthcare through a close assessment of case studies and a critical analysis of opportunities and challenges. It is crucial to acknowledge the enormous potential that artificial intelligence (AI) offers as we set out on this revolutionary path, all the while making sure that the human element is kept at the core of healthcare delivery.