Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Expert system-controlled image display.

H A Swett1, P R Fisher, A I Cohn

  • 1Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT 06510.

Radiology
|August 1, 1989
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Medical Informatics Training at Yale University School of Medicine.

Yearbook of medical informatics·2016
Same author

Dictyostelium, a microbial model for brain disease.

Biochimica et biophysica acta·2013
Same author

Rosai-Dorfman disease presenting as multiple breast masses in an otherwise asymptomatic male patient.

Clinical radiology·2011
Same author

ATTENDING: Critiquing a Physician's Management Plan.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

Approaches and informatics tools to assist in the integration of similar clinical research questionnaires.

Methods of information in medicine·2004
Same author

TrialDB: A web-based Clinical Study Data Management System.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2004
Same journal

Erratum for: Prediction of Lobar Emphysema Progression with a CT-Based Foundational Model.

Radiology·2026
Same journal

Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort.

Radiology·2026
Same journal

Erratum for: Blue Rubber Bleb Nevus Syndrome.

Radiology·2026
Same journal

Redefining the Clinical Role of MRI in Endometrial Cancer Staging.

Radiology·2026
Same journal

To Ablate or Not to Ablate: The Colorectal Liver Metastasis Question.

Radiology·2026
Same journal

The Limits of Radiologic Categorization in Pulmonary Nonsolid Nodules.

Radiology·2026
See all related articles

IMAGE/ICON is a novel expert computer system for diagnostic radiology. It visually displays sorted images to aid physicians in pattern recognition and medical education, enhancing diagnostic accuracy.

Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Medicine
  • Radiology

Background:

  • Traditional text-based medical expert systems have limitations in visually-dependent fields like radiology.
  • Radiological diagnosis relies heavily on pattern recognition and subtle morphological feature analysis.

Purpose of the Study:

  • To develop a prototype expert computer system, IMAGE/ICON, for diagnostic radiology.
  • To enhance diagnostic aid and medical education through a visual, interactive platform.

Main Methods:

  • Developed IMAGE/ICON, a system that displays image groups sorted by similarities (features, causes, clinical setting).
  • The system presents morphologic variations and disease spectrums.
  • It also generates written analyses of key case features.

Related Experiment Videos

Main Results:

  • IMAGE/ICON can display images based on shared features, causes, or clinical contexts.
  • The system illustrates morphologic variations and disease-related abnormality spectra.
  • It provides accompanying written analyses of case specifics.

Conclusions:

  • IMAGE/ICON serves as a valuable diagnostic aid and educational tool in radiology.
  • The system has potential as an intelligent radiologic workstation, integrating with picture archiving and communication systems.