AI systems in clinical practice

Medical Imaging Systems
Thallium diagnostic workstation
Diagnosis of coronary artery disease

developed by clinical domains keywords
CSC Cardiology, coronary artery disease, thallium myocardial scintigraphy, thallium imagery, diagnosis Rule-based systems, automated learning of diagnostic rules, induction
location commissioned status
The United States Air Force School of Aerospace Medicine

The Thallium Diagnostic Workstation is an AIM application deployed at the USAF School of Aerospace Medicine. TDW learns to diagnose thallium myocardial scintigraphy from a training set of examples. Digitized images are acquired by a gamma camera and send to TDW via ethernet. TDW performs considerable low-level vision processing, then extracts features of diagnostic significance using template-based techniques. The physician can view the images and TDW's findings simultaneously on-screen.

TDW uses induction to learn diagnostic rules. A rule learned from 150 cases diagnosed by cardiac catheter outperforms the best human diagnostician at the school by a few percentage points. Users can view imagery, enter their own findings and diagnosis, select a rule from a catalogue of rule sets (each rule is accompanied by performance statistics), and perform automated diagnosis.


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Archive of AI systems in clinical practice previously administered by Enrico Coiera. Used with permission. Maintained and extended since 2001 by OpenClinical.

Entry on archive: March 23 1993
Last main update: June 1 2001
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