Selected Topics in Medical Artificial Intelligence

1. Front Matter

   Pages i-xii

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2. Artificial Intelligence in Medicine: An Emerging Discipline

   1. Artificial Intelligence in Medicine: An Emerging Discipline

      • Perry L. Miller

      Pages 1-10

3. Causal Modeling and “Deep Models” of Medical Reasoning

   1. Causal Models for Medical Artificial Intelligence

      • Perry L. Miller, Paul R. Fisher

      Pages 11-24

   2. Compiling Causal Knowledge for Diagnostic Reasoning

      • Ramesh Patil, Oksana Senyk

      Pages 25-39

   3. Development and Use of a Causal Model for Reasoning About Heart Failure

      • William J. Long, Shapur Naimi, M. G. Criscitiello, Robert Jayes

      Pages 40-54

   4. Toward the Diagnosis of Medical Causal Models by Semiquantitative Reasoning

      • Lawrence E. Widman, Yong Bok Lee, Yoh-Han Pao

      Pages 55-70

   5. Explaining the Link Between Causal Reasoning and Expert Behavior

      • William R. Swartout, Stephen W. Smoliar

      Pages 71-84

   6. Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities

      • Gregory F. Cooper

      Pages 85-98

   7. Using Causal Knowledge to Create Simulated Patient Cases: CPCS Project as an Extension of INTERNIST-1

      • Ronnie C. Parker, Randolph A. Miller

      Pages 99-115

   8. Modeling and Encoding Clinical Causal Relations in a Medical Knowledge Base

      • Robert L. Blum

      Pages 116-124

   9. Computational Model of Reasoning from the Clinical Literature

      • Glenn D. Rennels, Edward H. Shortliffe, Frank E. Stockdale, Perry L. Miller

      Pages 125-140

4. Knowledge Acquisition and Verification

   1. Knowledge Acquisition and Verification Tools for Medical Expert Systems

      • Nicolaas J. I. Mars, Perry L. Miller

      Pages 141-152

   2. Empirical Analysis and Refinement of Expert System Knowledge Bases

      • Sholom M. Weiss, Peter Politakis, Allen Ginsberg

      Pages 153-165

   3. OPAL: Toward the Computer-Aided Design of Oncology Advice Systems

      • Mark A. Musen, David M. Combs, Joan D. Walton, Edward H. Shortliffe, Lawrence M. Fagan

      Pages 166-180

   4. HYDRA: A Knowledge Acquisition Tool for Expert Systems That Critique Medical Work-up

      • Perry L. Miller, Steven J. Blumenfrucht, John R. Rose, Michael Rothschild, Henry A. Swett, Gregory Weltin et al.

      Pages 181-201

5. Evaluation

   1. Evaluation of Artificial Intelligence Systems in Medicine

      • Perry L. Miller

      Pages 202-211

   2. Evaluation of Medical Expert Systems: Experience with the AI/RHEUM Knowledge-Based Consultant System in Rheumatology

      • Lawrence C. Kingsland III

      Pages 212-221

   3. Evaluation of Medical Expert Systems: Case Study in Performance Assessment

      • James A. Reggia

      Pages 222-230

6. Back Matter

   Pages 231-236

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Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the di­ agnostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these tech­ nology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli­ cations are limited to administrative functions, e.g., office practice man­ agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art.

• Extension
• Master Patient Index
• Notarztinformationssystem
• artificial intelligence
• artificial intelligence system
• assessment
• behavior
• diagnosis
• evaluation
• expert system
• intelligence
• knowledge acquisition
• knowledge base
• modeling
• verification

• Department of Anesthesiology, Yale University School of Medicine, New Haven, USA

  Perry L. Miller

Policies and ethics