his volume of the series Lecture Notes in Medical Informatics contains the T proceedings of the Workshop on System Engineering in Medicine, which was held in Maastricht, The Netherlands, 16-18 March 1989. This workshop was sponsored by the EC under the framework of the Medical and Health Research Programme. The aim of the workshop was to assess whether there was sufficient support in the Medical Informatics community in the EC to establish a concerted action. This proceedings contain papers of the presentations given at the workshop. These presentations were centred around three themes: • Methods and Tools • Applications in the domains of chronic care and critical care • Evaluation of decision support systems The papers were prepared after the workshop and therefore we were able to include the relevant parts of the discussions which were related to the presentations. As a result of the discussions during the workshop, a proposal was prepared for the establishment of a concerted action, specifically addressing the development of guidelines for the evaluation of medical decision aids. This proposal was granted early 1990 under the same Medical and Health Research programme of the EC. Over 40 institutes are participating in this concerted action. It have been the outstanding presentations and the open discussions at the workshop that have been the starting point of this concerted action. The papers in this proceedings formed a starting point for the discussions in the meetings of the concerted action.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial 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

10.2 The Role and Contents of the URD in an Assessment Perspective -- 10.3 The Enterprise Model -- 10.4 The Normative Model -- 10.5 Assessment of the User Requirements Document -- 10.6 Discussion -- 11 Dynamic Aspects of the Assessment Methodology -- 11.1 Dynamic Aspects of IT-Development and Application -- 11.2 Adaptation of Frames of Reference for Assessment Activities -- 11.3 Feed-forward Loops -- 11.4 Support of Context Dependent Assessment -- 11.5 Conclusion -- 12 The Dynamic Assessment Methodology -- 12.1 Philosophy -- 12.2 Application Area -- 12.3 Operationalisation of the Methodology -- 12.4 Applicable Methods -- 12.5 Summary -- 13 Discussion -- 13.1 Discussion of Fulfilment of Objective for the 4th Goal -- 13.2 Conclusion of the Study -- References -- Appendix 1: Vocabulary -- Appendix 2: Abbreviations & Acronyms -- Appendix 3: KAVAS's & ISAR's Evaluation Methodology -- Appendix 4: Methodology for Assessment of Functionality -- Appendix 5: Experimental Observations: Functionality Assessment -- Appendix 6: Experimental Observations: LFA -- Appendix 7: Causal Analysis of Experimental Observations -- Appendix 8: Method for Elicitation of a Strategy -- Appendix 9: Selected References regarding Assessment Methods

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Title Page -- TABLE OF CONTENTS -- Introduction -- Part A: Methodological Aspects -- Evaluation of Automatic Health Information Systems What and How? -- Technology Assessment in Medical and Health Care Informatics: A Clarification of the Concept -- Supporting System Development with Technology Assessment -- The Conceptionof a Medical Computer System -- Verification and Validation -- Case Acquisition for Knowledge-Based Decision Support System Validation -- Approaches to Experimental Design -- Analysis of Costs of Information Systems -- Measuring Effects -- Methods for Data Acquisition -- From Assessment to Decision-Making -- Technology Assessment for Decision-Making in the Field of Informatics in Medicine and Health Care -- Part B: Examples from AIM Projects -- The Impact of Clinical Pilot Projects in R & D Programmes Supported by the EU -- Assessment and Evaluation of Knowledge-Based Expert Systems for Medical Diagnosis -- Evaluation in the TELEGASTRO-Project -- The KANDID Way to ESTEEM -- On the Evaluation of System Integration -- Protocol for the Clinical Functionality Assessment of a Workstation for Stereotactic Neurosurgery -- SAMMIE Software Applied to MultiModal Images and Education -- Technology Assessment in theEurIpacs Project -- Assessment of Workstations and PACS in AIM: The Experience of the MILORD Project -- Part C: Literature Overview -- Overview of Published Assessment and Evaluation Studies -- Literature on Assessment of Information Technology and Medical KBS Evaluation: Studies and Methodologies -- Authors List -- Authors Addresses

Why and How Will Knowledge Based Systems Become an Established Technology within Health Care? -- Signal and Image Processing Applications -- Future Prospects in ECG Signal Interpretation -- Industrial Perspectives for Research and Development in Knowledge Processing and Decision Support -- Legal Issues Incurred from KBS Use -- Legal Issues in Cognition, Knowledge Processing and Decision Making Techniques in the Health Sector -- Human Intelligence and Computer Intelligence -- Cooperation Between Human Brain and Computer -- Part 3. The EPISTOL Reports -- Munich Workshop -- The Role of Knowledge Based Systems in Clinical Practice -- How Will KBS Techniques Be Incorporated into Commercial Products? -- Trends in Knowledge Based Research that Will Enable its Use in Routine Applications -- Distributed Knowledge Based Systems and Telematics in a Changing Health Care Environment -- Brussels Seminar -- The Brussels Seminar -- Appendices -- Munich Workshop: Participants and Contributors -- Brussels Seminar: Participants and Contributors -- Author Index