Arman Kilic – författare

Infective Endocarditis: A Multidisciplinary Approach provides a comprehensive review of infective endocarditis and covers the entire spectrum of medical care for these challenging patients. It covers the ever-increasing scope of the problem, including epidemiology, as well as diagnostic work-up, microbiology, medical therapy, and surgical therapy for this disease. The book also addresses the opioid epidemic and rising infective endocarditis incidence in this population. Each type of practitioner can use this book as a definitive resource in reviewing aspects of care related to the endocarditis patient.

This book will also serve as an updated resource to provide recent evidence regarding the management of these patients, as well as author perspectives and approaches to tackling the often complex and challenging issues revolving around care of the endocarditis patient. This is an essential reference and an authoritative source for infective endocarditis and provide physicians, nurses, social workers, and everyone who is routinely involved in the care of these patients.

Provides a thorough, yet concise review from a multidisciplinary perspective on the work-up and management of infective endocarditis Presents updated reviews on evidence and current guidelines for treating patients with infective endocarditis Provides discussion on controversial aspects of management, both medical and ethical

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation.This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare.Provides an overview of AI and ML to the medical practitioner who may not be well versed in these fieldsEncompasses a thorough review of what has been accomplished and demonstrated recently in the fields of AI and ML in healthcareDiscusses the future of AI and ML in healthcare, with a review of possible wearable technology and software and how they may be used for medical care