Artificial Intelligence and Machine Learning in Medical Industry
| Autor: | Dr. Ajay Prakash Pasupulla, Mr. Mohit Sarda |
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| Rok vydání: | 2023 |
| Předmět: | |
| DOI: | 10.5281/zenodo.8102468 |
| Popis: | Welcome to the world of AI in the medical industry, Over the past few decades, advancements in Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various fields, and healthcare is no exception. The integration of AI technologies in the medical sector has opened up new possibilities and transformed the way we approach disease diagnosis, drug development, healthcare management, bioinformatics, clinical decision support systems, and even ethical considerations for the future. This book, titled "AI in the Medical Industry," aims to provide a comprehensive overview of the applications and potential of AI in healthcare. It explores the diverse ways in which AI and ML are being utilized to enhance medical practices and improve patient outcomes. By delving into the intricate details of each aspect, readers will gain a deeper understanding of how AI is reshaping the medical landscape. The introduction to artificial intelligence and machine learning. It lays the foundation for the subsequent chapters by explaining the basic concepts, techniques, and methodologies employed in the field. This book aims to provide readers with a solid understanding of the underlying principles behind AI and ML, setting the stage for the subsequent exploration of their applications in the medical industry. It also focuses on the approach of disease diagnosis. AI technologies have empowered healthcare professionals with advanced tools for early detection and accurate diagnosis of various medical conditions. It delves into the different AI-based techniques used in disease diagnosis, showcasing their efficacy and potential impact on patient care. we delve into the realm of drug development and delivery systems. The integration of AI in these areas has accelerated the discovery, development, and delivery of pharmaceuticals. Also explores how AI is revolutionizing drug research, clinical trials, personalized medicine, and the overall drug development process. This book sheds light on the healthcare management system using AI. With the ever-increasing complexity of healthcare data, AI plays a crucial role in managing and analyzing vast amounts of information. It explores how AI is improving administrative processes, resource allocation, patient scheduling, and overall healthcare system efficiency. The role of AI in bioinformatics takes center stage. Bioinformatics, the interdisciplinary field that combines biology, computer science, and statistics, has greatly benefited from AI advancements. It explores how AI is revolutionizing genomics, proteomics, data analysis, and the understanding of complex biological systems. They focus on Clinical Decision Support Systems (CDSS), which harness the power of AI to assist healthcare providers in making informed decisions. CDSS utilizes patient data, medical knowledge, and AI algorithms to provide real-time recommendations for diagnosis, treatment plans, and patient management. This chapter explores the potential of CDSS in enhancing clinical practice and improving patient outcomes. Finally, it explores into the ethical considerations and future implications of AI in the medical industry. As AI continues to advance, it is crucial to address ethical concerns surrounding patient privacy, bias in algorithms, and the impact of AI on the doctor-patient relationship. This book discusses these important issues and provides insights into the future of AI in healthcare. Throughout this book, we aim to present a balanced view of AI in the medical industry, discussing its potential benefits, challenges, and ethical considerations. It is our hope that this comprehensive exploration of AI applications will serve as a valuable resource for healthcare professionals, researchers, students, and anyone interested in understanding the transformative power of AI in medicine. We extend our gratitude to the contributors, whose expertise and insights have enriched the content of this book. Their collective efforts have made this endeavor possible. We also express our gratitude to the readers for their interest in AI in the medical industry. Let us embark on this journey together, as we explore the fascinating world where artificial intelligence intersects with healthcare, revolutionizing the way we approach medical diagnosis, treatment, and patient healthcare management. Nil |
| Databáze: | OpenAIRE |
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