دانلود کتاب هوش مصنوعی در بهداشت و درمان – برنامه ها و پیشرفت های اخیر

Artificial Intelligence (AI) was founded as a discipline in 1950s, and after several waves of attempting and discarding many different approaches, recent machine learning-based AI approaches have proved successful in many areas. Owing to the increasing availability of healthcare data and more complex needs and challenges in clinical practice, AI is also bringing a paradigm shift to healthcare sector, which increases the ability for healthcare professionals to better understand patterns of diseases and cater to rising the needs of the people. Having been popularly applied domains such as cancer, neurology and cardiology, AI has witnessed successes in different stages of clinical processes including diagnosis and detection, moni-toring and prognosis, to make more informed clinical decision-making and enhance healthcare systems.

In this book, the authors present key applications in health areas where AI has had significant successes. The chapters cover a plethora of health subareas, proving credence to the versatility and effectiveness of AI advances. With a varied range of examples and various AI techniques employed, this book illustrates how AI can be capable of and how it can be applied to allow for a better appreciation of AI advances. Of the included 16 chapters, this volume starts with the discussions of AI in key emergent health areas, followed by the presentation of AI techniques in a number of high-profile domains, such as brain disorders, mental health, COVID-19, cardiovascular diseases and diabetes.

The book will be ideal for individuals new to the notion and application of AI in health and medicine, as well as for early career scholars who wish to further extend their knowledge of data-driven informatics in health. The book is also suitable as a supporting text for advanced undergraduate and graduate-level models on artificial Intelligence techniques and applications.