Building Multimodal Clinical Decision Support Systems Using Artificial Intelligence Books

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Medical Content Based Retrieval for Clinical Decision Support


Medical Content Based Retrieval for Clinical Decision Support
  • Author : Henning Mueller
  • Publisher : Springer
  • Release : 2012-02-21
  • ISBN : 9783642284601
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

Medical Content Based Retrieval for Clinical Decision Support


Medical Content Based Retrieval for Clinical Decision Support
  • Author : Henning Müller
  • Publisher : Springer
  • Release : 2010-02-04
  • ISBN : 9783642117695
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Reinventing Clinical Decision Support


Reinventing Clinical Decision Support
  • Author : Paul Cerrato
  • Publisher : Taylor & Francis
  • Release : 2020-01-15
  • ISBN : 9781000055559
  • Language : En, Es, Fr & De
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This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

Artificial Intelligence and Integrated Intelligent Information Systems Emerging Technologies and Applications


Artificial Intelligence and Integrated Intelligent Information Systems  Emerging Technologies and Applications
  • Author : Zha, Xuan
  • Publisher : IGI Global
  • Release : 2006-10-31
  • ISBN : 9781599042510
  • Language : En, Es, Fr & De
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Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.

Artificial Intelligence in Medicine


Artificial Intelligence in Medicine
  • Author : Werner Horn
  • Publisher : Springer
  • Release : 2003-05-21
  • ISBN : 9783540487203
  • Language : En, Es, Fr & De
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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 language processing; and image processing and computer aided design.