World's Best Scientists 2026 revealed!
Edward H. Shortliffe

Edward H. Shortliffe

D-Index & Metrics

Computer Science

D-Index
79
Citations
46277
World Ranking
1116
National Ranking
596

Research.com Recognitions

  • 1993 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
  • 1987 - Member of the National Academy of Medicine (NAM)
  • 1976 - ACM Grace Murray Hopper Award For his pioneering research which is embodied in the MYCIN program. MYCIN is a program which consults with physicians about the diagnosis and treatment of infections. In creating MYCIN, Shortliffe employed his background of medicine, together with his research in knowledge-based systems design, to produce an integrated package which is easy for expert physicians to use and extend. Shortliffe's work formed the basis for a research program supported by NIH, and has been widely studied and drawn upon by others in the field of knowledge-based systems.
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians

Overview

Edward H. Shortliffe is affiliated with Columbia University in the United States. Their research spans multiple fields within health and medicine, emphasizing the integration of artificial intelligence in healthcare settings.

The scientist's main fields of study include Health Professions and Medicine, with subfields covering Health Information Management, Artificial Intelligence, General Health Professions, Molecular Biology, and Health Informatics. The primary focus areas of their work are Machine Learning in Healthcare, Electronic Health Records Systems, Artificial Intelligence in Healthcare and Education, Biomedical Text Mining and Ontologies, Artificial Intelligence in Healthcare, Mobile Health and mHealth Applications, and Clinical Reasoning and Diagnostic Skills.

Shortliffe has collaborated frequently with several coauthors, including Vimla L. Patel, Gretchen Purcell Jackson, Mor Peleg, Anita M. Preininger, and Michael F. Chiang.

Their research has been published in diverse venues, notably:

  • Journal of the American Medical Informatics Association
  • BMJ Health & Care Informatics
  • Information Services & Use
  • Journal of Biomedical Informatics
  • Nature Medicine

Among their recent papers are:

  • "AI-generated text may have a role in evidence-based medicine" (2023, Nature Medicine)
  • "Effect of an Artificial Intelligence Clinical Decision Support System on Treatment Decisions for Complex Breast Cancer" (2020, JCO Clinical Cancer Informatics)
  • "Comparison of an oncology clinical decision-support system's recommendations with actual treatment decisions" (2021, Journal of the American Medical Informatics Association)
  • "Designing and implementing mHealth technology: the challenge of meeting the needs of diverse communities" (2023, BMJ Health & Care Informatics)
  • "The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics" (2021, Journal of the American Medical Informatics Association)

Shortliffe has received several awards, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 1993
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 1990
  • Member of the National Academy of Medicine (NAM), 1987
  • ACM Grace Murray Hopper Award, 1976 - awarded for pioneering research embodied in the MYCIN program, a clinical decision-support system for diagnosing and treating infections
  • Member of the Association of American Physicians

Best Publications

  • Rule-based expert systems : the MYCIN experiments of the Stanford Heuristic Programming Project

    Bruce G. Buchanan;Edward Hance Shortliffe

  • Rule-Based Expert Systems

    Bruce G. Buchanan;Edward H. Shortliffe;Barclay Adams;John J. Osborn

  • Computer-based medical consultations, MYCIN

    Edward Hance Shortliffe

  • A model of inexact reasoning in medicine

    E. H. Shortliffe;B. G. Buchanan

  • Biomedical Informatics: Computer Applications in Health Care and Biomedicine

    Edward H. Shortliffe;James J. Edward H. Shortliffe. James J. Cimino Cimino

  • Production rules as a representation for a knowledge-based consultation program

    Randall Davis;Bruce Buchanan;Edward Shortliffe

  • Computer-based medical consultations: mycin (elsevier north holland

    Edward H. Shortliffe

  • Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)

    Bruce G. Buchanan;Edward H. Shortliffe

  • Comparing computer-interpretable guideline models: a case-study approach.

    Mor Peleg;Samson W. Tu;Jonathan Bury;Paolo Ciccarese

  • Clinical Decision Support in the Era of Artificial Intelligence.

    Edward H Shortliffe;Edward H Shortliffe;Martin J Sepúlveda

  • Position paper: The coming of age of artificial intelligence in medicine

    Vimla L. Patel;Edward H. Shortliffe;Mario Stefanelli;Peter Szolovits

  • Expert Systems Research.

    Richard O. Duda;Edward H. Shortliffe

  • A method for managing evidential reasoning in a hierarchical hypothesis space

    Jean Gordon;Edward H. Shortliffe

  • Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system.

    Edward H. Shortliffe;Randall Davis;Stanton G. Axline;Bruce G. Buchanan

  • An analysis of physician attitudes regarding computer-based clinical consultation systems.

    Randy L. Teach;Edward H. Shortliffe

  • Medical Informatics: Computer Applications in Health Care

    Edward H. Shortliffe;Leslie E. Perreault;Gio Wiederhold;Lawrence M. Fagan

  • The guideline interchange format: a model for representing guidelines.

    Lucila Ohno-Machado;John H. Gennari;Shawn N. Murphy;Nilesh L. Jain

  • An Approach to Verifying Completeness and Consistency in a Rule-Based Expert System

    Motoi Suwa;A. Carlisle Scott;Edward H. Shortliffe

  • Computer programs to support clinical decision making

    E. H. Shortliffe

  • Clinical decision-support systems

    Edward H. Shortliffe

  • Probabilistic Similarity Networks

    Edward H. Shortliffe;David Earl Heckerman

  • Knowledge engineering for medical decision making: A review of computer-based clinical decision aids

    E.H. Shortliffe;B.G. Buchanan;E.A. Feigenbaum

Frequent Co-Authors

Robert A. Greenes
Robert A. Greenes Arizona State University
Vimla L. Patel
Vimla L. Patel Columbia University
Samson W. Tu
Samson W. Tu Stanford University
Mor Peleg
Mor Peleg University of Haifa
Bruce G. Buchanan
Bruce G. Buchanan University of Pittsburgh
Mark A. Musen
Mark A. Musen Stanford University
Randolph A. Miller
Randolph A. Miller Vanderbilt University
Elmer V. Bernstam
Elmer V. Bernstam The University of Texas Health Science Center at Houston
James J. Cimino
James J. Cimino University of Alabama at Birmingham
Arie Hasman
Arie Hasman University of Amsterdam

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