Applications-Oriented AI Research: Medicine

Abstract

Those of us involved in the creation of the Handbook of Artificial Intelligence, both writers and editors, have attempted to make the concepts, methods, tools, and main results of artificial intelligence research accessible to a broad scientific and engineering audience. Currently, AI work is familiar mainly to its practicing specialists and other interested computer scientists. Yet the field is of growing interdisciplinary interest and practical importance. With this book we are trying to build bridges that are easily crossed by importance. With this book we are trying to build bridges that are easily crossed by engineers, scientists in other fields, and our own computer science colleagues. In the Handbook we intend to cover the breadth and depth of AI, presenting general overviews of the scientific issues, as well as detailed discussions of particular techniques and important AI systems. Throughout we have tried to keep in mind the reader who is not a specialist in AI.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1979
Accession Number
ADA075402

Entities

People

  • Avron Barr
  • Edward A. Feigenbaum
  • James S. Bennett
  • Paul R. Cohen
  • Victor B. Ciesielski

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Anti-Infective Agents
  • Artificial Intelligence
  • Bacteria
  • Bacterial Infections
  • Cognition
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Health Services
  • Infection
  • Information Systems
  • Medical Personnel
  • Pain
  • Psychology
  • Reasoning
  • Systems Engineering

Readers

  • Educational Psychology
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms