Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Elpida Keravnou
Publisher: Springer Science & Business Media
Total Pages: 550
Release: 1997-03-12
Genre: Computers
ISBN: 9783540627098

Content Description #Includes bibliographical references and index.

Advanced Models of Cognition for Medical Training and Practice

Advanced Models of Cognition for Medical Training and Practice
Author: David A. Evans
Publisher: Springer Science & Business Media
Total Pages: 370
Release: 2013-06-29
Genre: Medical
ISBN: 3662028336

Cognitive science is a multidisciplinary science concerned with understanding and utilizing models of cognition. It has spawned a great dealof research on applications such as expert systems and intelligent tutoring systems, and has interacted closely with psychological research. However, it is generally accepted that it is difficult to apply cognitive-scientific models to medical training and practice. This book is based on a NATO Advanced Research Workshop held in Italy in 1991, the purpose of which was to examine the impact ofmodels of cognition on medical training and practice and to outline future research programmes relating cognition and education, and in particular to consider the potential impact of cognitive science on medical training and practice. A major discovery presented in the book is that the research areas related to artificial intelligence, cognitive psychology, and medical decision making are considerably closer, both conceptually and theoretically, than many of the workshop participants originally thought.

Reasoning About Actions & Plans

Reasoning About Actions & Plans
Author: Michael P. Georgeff
Publisher: Elsevier
Total Pages: 432
Release: 2012-12-02
Genre: Computers
ISBN: 0323141722

Reasoning About Actions and Plans discusses approaches to a number of the more challenging problems in reasoning about the future and forming plans of action to achieve their goals. Reasoning about actions and plans can be seen as fundamental to the development of intelligent machines that are capable of dealing effectively with real-world problems. This book comprises 17 chapters, with the first delving into the semantics of STRIPS. The following chapters then discuss a theory of plans; formulating multiagent, dynamic-world problems in the classical planning framework; and a representation of parallel activity based on events, structure, and causality. Other chapters cover branching regular expressions and multi-agent plans; a representation of action and belief for automatic planning systems; possible worlds planning; and intractability and time-dependent planning. The remaining chapters discuss goal structure, holding periods and "clouds"; a model of plan inference that distinguishes between the beliefs of actors and observers; persistence, intention, and commitment; the context-sensitivity of belief and desire; the doxastic theory of intention; an architecture for intelligent reactive systems; and abstract reasoning as emergent from concrete activity. This book will be of interest to practitioners in the fields of cognition and artificial intelligence.

Rational Diagnosis and Treatment

Rational Diagnosis and Treatment
Author: Peter Gøtzsche
Publisher: John Wiley & Sons
Total Pages: 244
Release: 2008-03-11
Genre: Medical
ISBN: 9780470723685

Now in its fourth edition, Rational Diagnosis and Treatment: Evidence-Based Clinical Decision-Making is a unique book to look at evidence-based medicine and the difficulty of applying evidence from group studies to individual patients. The book analyses the successive stages of the decision process and deals with topics such as the examination of the patient, the reliability of clinical data, the logic of diagnosis, the fallacies of uncontrolled therapeutic experience and the need for randomised clinical trials and meta-analyses. It is the main theme of the book that, whenever possible, clinical decisions must be based on the evidence from clinical research, but the authors also explain the pitfalls of such research and the problems involved in applying evidence from groups of patients to the individual patient. For this new edition, the sections on placebo and meta-analysis and on alternative medicine have been thoroughly updated, and there is more focus on insufficient reporting of harms of interventions. The sections on different research designs describe advantages and limitations, and the increased medicalisation and the effects of cancer screening on health people are noted. A section on academic freedom when clinicians collaborate with industry and ghost authors is added. This essential reference work integrates the science and statistical approach of evidence-based medicine with the art and humanism of medical practice; distinguishing between data, sets of data, knowledge and wisdom, and their application. Such an intellectually challenging book is ideal for both medical students and doctors who require theoretical and practical clinical skills to help ensure that they apply theory in practice.

Encyclopedia of Microcomputers

Encyclopedia of Microcomputers
Author: Allen Kent
Publisher: CRC Press
Total Pages: 400
Release: 1992-01-06
Genre: Computers
ISBN: 9780824727086

"The Encyclopedia of Microcomputers serves as the ideal companion reference to the popular Encyclopedia of Computer Science and Technology. Now in its 10th year of publication, this timely reference work details the broad spectrum of microcomputer technology, including microcomputer history; explains and illustrates the use of microcomputers throughout academe, business, government, and society in general; and assesses the future impact of this rapidly changing technology."

Dealing with Medical Knowledge

Dealing with Medical Knowledge
Author: E. Carson
Publisher: Springer Science & Business Media
Total Pages: 302
Release: 2013-06-29
Genre: Medical
ISBN: 1475799519

In a systematic and clear manner, the authors discuss the problems associated with clinical decision making and explore the current methods to solve them. In this monograph, they examine the results of combining the classical control system approach with the symbolic approaches which have been central to developments in artificial intelligence. Well illustrated with case studies, this volume will prove to be an invaluable resource to system scientists, engineers, computer scientists, and members of the medical community.