Digital medicine : bringing digital solutions to medical practice / edited by Ralf Huss.

Includes bibliographical references and index.

Part I: Digital science -- Introduction to machine learning for physicians: a survival guide of data deluge -- Data access and use -- Data integration -- Data analysis in genomic medicine: status, challenges, and developments -- Part II: Digital health and innovation -- Ethical aspects of mHealth technologies: challenges and opportunities -- i-Learning: the next generation e-Learning -- Data-Driven nursing research: an overview of underlying concepts and enablers -- Designing the hospital of the future: a framework to guide digital innovation -- Combining digital medicine, innovative geospatial and environmental data environmental health sciences to create sustainable health -- Digitization and (Nano)Robotics in Nanomedicine -- Part III: Digital diagnostics -- Neural networks in molecular imaging: theory and applications -- Precision oncology: molecular diversification -- Digital applications in precision pathology -- Computational pathology -- Digital neuropathology -- Application of artificial intelligence in gastrointestinal endoscopy -- Part IV: Digital therapeutics -- Digital medicine in neurology -- Neurorehabilitation medicine -- Digital psychiatry -- Digital Neurosurgery -- Digital surgery: the convergence of robotics, artificial intelligence, and big data -- Digital urology -- Digitalization in anesthesiology and intensive care -- Digital palliative care -- Digital medicine in pulmonary medicine -- Digital rheumatology -- Digital dermatology -- Digital neonatology -- Digital medicine and artificial intelligence in the area of breast and gynecologic center -- Digital otorhinolaryngology _Ear-Nose-Throat) -- Digital orthopedics and traumatology.

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This book provides an introduction into the field of digital medicine, its wide spectrum of current clinical applications, and the future practice of medicine. With "digital health" and "digital medicine" at its core, it focuses on the combination of therapeutics with modern hard- and software solutions, including artificial intelligence and advanced diagnostic technologies such as augmented imaging and ingestible or wearable (nano)sensors, to provide best patient care. In the four parts of this book, experts in the field have authored use cases and guiding principles on the visualization of patient data analytics and clinical decision support tools, including robotic-guided interventions, as well as nursing research along with palliative and inpatient care. The book also provides examples of "digital medicine" from almost all clinical disciplines together with technical and e-learning solutions. This book provides an introduction into the field of digital medicine, its wide spectrum of current clinical applications, and the future practice of medicine. The book also provides examples of "digital medicine" from almost all clinical disciplines together with technical and e-learning solutions." -- Back cover