Artificial Intelligence in Medicine

• Author : Peter Szolovits
• Publisher : Routledge
• Release : 13 March 2019

This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care. An introductory chapter describes the historical and technical foundations of the work and provides an overview of the current state of the art and research directions. The authors then describe four prototype computer programs that tackle difficult clinical problems in a manner similar to that of

• Author : Anthony C. Chang
• Publisher : Academic Press
• Release : 27 June 2020

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas

• Author : Niels Peek,Roque Luis Marín Morales,Mor Peleg
• Publisher : Springer
• Release : 16 May 2013

This book constitutes the refereed proceedings of the 14th Conference on Artificial Intelligence in Medicine, AIME 2013, held in Murcia, Spain, in May/June 2013. The 43 revised full and short papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: decision support, guidelines and protocols; semantic technology; bioinformatics; machine learning; probabilistic modeling and reasoning; image and signal processing; temporal data visualization and analysis; and natural language processing.

• Author : Perry L. Miller
• Publisher : Springer
• Release : 17 August 1988

"The book contains a collection of current papers in the field of medical artificial intelligence. The contributions center on the following three topics: the use of causal models in medical expert systems; the problems of knowledge acquisition and knowledge verification in medical expert systems; and the problems of evaluating medical expert systems. These areas all pose questions of particular research interest. For each area the book includes a chapter giving an overview of the subject and then presents several papers

• Author : Steen Andreassen,Rolf Engelbrecht,Jeremy Wyatt
• Publisher : IOS Press
• Release : 25 March 1993

The knowledge-based management of medical acts in NUCLEUS -- Knowledge Acquisition, Representation & Learning -- Knowledge Representation and Modelling in HYBRIKON -- Knowledge Organisation in Medical KBS Construetion -- A Framework for Modular Knowledge Bases in the Domain of Hypertension Diseases -- KAVAS-2: Knowledge Acquisition, Visualisation and Assessment System -- KAVAS's Framework for quality assessment of medical knowledge -- KAVAS's Conditioning of the Induction Algorithm -- Clinical decision-support in the field of TETANUS serology using an associative storage model implemented in

• Author : Riccardo Bellazzi,Ameen Abu-Hanna,Jim Hunter
• Publisher : Springer Science & Business Media
• Release : 29 June 2007

This book constitutes the refereed proceedings of the 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, held in Amsterdam, The Netherlands in July 2007. The 28 revised full papers and 38 revised short papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as

• Author : Eric Topol
• Publisher : Hachette UK
• Release : 12 March 2019

A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking

• Author : Arvin Agah
• Publisher : CRC Press
• Release : 06 November 2013

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical

• Author : IntroBooks Team
• Publisher : IntroBooks
• Release : 25 March 2023

Artificial Intelligence (AI) opened a new horizon for human civilization. It is being used in different fields from detective agencies to medicines. And it has made things a lot easier than it was in the earlier days. Artificial Intelligence is basically using the knowledge of complex methods and algorithms in order to analyze things. Now how does it help in medicines and healthcare? Well, using artificial intelligence in medical fields is basically using the knowledge of complex methods and algorithms

• Author : Elpida Keravnou,Elpida Keravnou-Papailiou,Catherine Garbay,Robert Baud,Jeremy Wyatt
• Publisher : Springer Science & Business Media
• Release : 12 March 1997

Content Description #Includes bibliographical references and index.

• Author : Manda Raz,Tam C. Nguyen,Erwin Loh
• Publisher : Springer Nature
• Release : 18 July 2022

This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections:

• Author : Yoshiki Oshida
• Publisher : Walter de Gruyter GmbH & Co KG
• Release : 11 October 2021

The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.

• Author : Werner Horn,Yuval Shahar,Greger Lindberg,Steen Andreassen,Jeremy Wyatt
• Publisher : Springer
• Release : 21 May 2003

This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999. The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural

• Author : Silvana Quaglini,Pedro Barahona,Steen Andreassen
• Publisher : Springer
• Release : 15 May 2003

This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management, machine learning, data mining, decision support systems, temporal reasoning, case-based reasoning, planning and scheduling, natural language processing, computer vision, image and signal interpretation,

• Author : Lei Xing,Maryellen L. Giger,James K. Min
• Publisher : Academic Press
• Release : 03 September 2020

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application