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.


1. Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge

2. Data Access and Use

3. Data Integration

4. Data analysis in Genomic Medicine: Status, Challenges and Developments

5. Ethical Aspects of mHealth Technologies: Challenges and Opportunities

6. i-Learning the Next Generation e-Learning

7. Data-Driven Nursing Research: An Overview of Underlying Concepts and Enablers

8. Designing the Hospital of the Future: A Framework to Guide Digital Innovation

9. Combining Digital Medicine, Innovative Geospatial and Environmental Data in Environmental Health Sciences to Create Sustainable Health

10. Digitalization and (Nano)Robotics in Nanomedicine

11. Neural Networks in Molecular Imaging: Theory and Applications

12. Precision Oncology: Molecular Diversification of Tumor Patients

13. Digital Applications in Precision Pathology

14. Computational Pathology

15. Digital Neuropathology

16. Application of Artificial Intelligence (AI) in Gastrointestinal Endoscopy

17. Digital Transformation Processes in Acute Inpatient Care in Germany

18. Digital Medicine in Neurology

19. Neurorehabilitation Medicine

20. Digital Psychiatry

21. Digital Neurosurgery

22. Digital Surgery: The Convergence of Robotics, Artificial Intelligence and Big Data

23. Digital Urology

24. Digitalization in Anesthesiology and Intensive Care

25. Digital Palliative Care

26. Digital Medicine in Pulmonary Medicine

27. Digital Rheumatology

28. Digital Dermatology

29. Digital Neonatology

30. Digital Medicine and Artificial Intelligence in the Area of Breast and Gynaecologic Cancer

31. Digital Otorhinolaryngology (Ear-Nose-Throat)

32. Digital Orthopedics and Traumatology


Ralf Huss is an adjunct professor of pathology at the Institute of Pathology and Molecular Diagnostics, University Hospital Augsburg (Germany), where he also founding director of the Institute for Digital Medicine, before he assumed the role of the managing director of BioM Biotech Cluster Development GmbH in Munich (Germany). Dr. Huss is board certified in anatomical, experimental, and molecular pathology with more than 30 years of training and experience in histopathology, immunology, translational cancer research, and oncology in Zurich (Switzerland), Seattle (USA), and Munich (Germany). He has also held different senior positions in the pharmaceutical industry at Roche and AstraZeneca. He also serves as an honorary professor at the University College Dublin (Ireland) and as a lecturer of nanotechnology and biomaterials at the Faculty of Chemistry, Technical University of Munich (Germany). His research focuses on the use of machine and artificial intelligence in routine tissue diagnostics and biomarker discovery, and he has (co-)authored more than 150 peer-reviewed articles, reviews, book chapters, and books in related areas.