Buch, Englisch, 352 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 666 g
Applications in Healthcare Delivery
Buch, Englisch, 352 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 666 g
ISBN: 978-0-367-61717-2
Verlag: Productivity Press
Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
- Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Dienstleistungssektor & Branchen
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
Weitere Infos & Material
Chapter 1 Algorithmic Medicine Chapter 2 Use of Artificial Intelligence in the Screening and Treatment of Chronic Diseases Chapter 3 AI and Drug Discovery Chapter 4 Mammographic screening and Breast Cancer Management - Part 1 Chapter 5 Mammographic screening and Breast Cancer Management - Part 2 Chapter 6 Deep Learning for Drawing Insights from Patient Data for Diagnosis and Treatment Chapter 7 A Simple and Replicable Framework for the Implementation of Clinical Data Science Chapter 8 Clinical Artificial Intelligence – technology application or change management? Chapter 9 Impacting perioperative quality and patient safety using Artificial Intelligence Chapter 10 Application of an Intelligent Stochastic Optimization Non-Linear Model Chapter 11 Audit of Artificial Intelligence Algorithms and its Impact in Relieving Shortage of Specialist Doctors Chapter 12 Knowledge Management in a Learning Health System Chapter 13 Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values Chapter 14 AMD Severity Prediction and Explainability Using Image Registration and Deep Embedded Clustering Chapter 15 Application of Artificial Intelligence in Thyroidology Chapter 16 Use of Artificial Intelligence in Sepsis Detection and Management Chapter 17 Transforming Clinical Trials with Artificial Intelligence Chapter 18 An Industry Review of Neuromorphic Chips Chapter 19 Artificial Empathy - An Artificial Intelligence Challenge