eBook, ePUB

Artificial Intelligence in Healthcare (eBook, ePUB)

Beschreibung

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction toartificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Technische Details

• Geräte: eReader
• ohne Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• E-Mail eines vertrauenswürdigen Mittlers für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen

Autor

Adam Bohr, PhD is the CEO and co-founder of Sonohaler, an mhealth and medical device company focused on asthma management using acoustic signals and machine learning tools. He is also a co-founder of Zerion ApS, a pharmaceutical company aspiring to transform the pharmaceutical landscape for formulation of poorly soluble drugs. Previously, he was employed as assistant professor at the Department of Pharmacy, University of Copenhagen where he was doing research on drug implants, nanomedicine and microfluidic technology and teaching pharmaceutical technology subjects. He has published more than 45 peer reviewed academic papers and book chapters and has a PhD in Biomedical Engineering from University College London. He is a health futurist and a healthcare AI proponent with a passion for patient centered healthcare technologies.

Kaveh Memarzadeh, PhD is currently a Commercial Field Application Scientist at ChemoMetec, a biotechnology company that innovates in the field of automated cell cytometry. He oversaw research management and communications at Orthopaedic Research UK (ORUK), a UK based medical charity that funds projects into the betterment and improvement of human movement and augmentation. He has published numerous peer-reviewed academic papers and has a PhD in nanotechnology, biomaterials and microbiology. He is also a visiting lecturer at University College London, teaching on a range of topics from the future of prosthetics/bionics to utilization of nanotechnology for antimicrobial bone implants. In his spare time, he reads, paints, builds his own gaming computers and utilizes the power of social media to share his passion for nature with hundreds of thousands of people.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 378
• Erscheinungstermin: 21. Juni 2020
• Englisch
• ISBN-13: 9780128184394
• Artikelnr.: 61688778

Rezensionen

"This book is overall a very complete and organized book that gives newly interested persons a look at AI and its applications. The first few chapters give readers a chance to get used to the vocabulary and give small but effective diagrams explaining often confused concepts such as machine learning versus deep learning. The first few chapters may be extremely dry if the readers are fairly familiar with AI. Therefore, I would recommend this book for readers who feel unsure of their foundation in AI. I would say of the books I have read on digital health in general, this book is more focused. If you compare to Data Pulse: A Brief Tour of Artificial Intelligence in Healthcare, Marcetich (New Degree Press, 2020) or Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again, Topal (Basic Books, 2019), both put a focus on challenges of AI, whereas this book has a large focus on the opportunities and covers them in great detail." --Doody Reviews