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Wednesday, July 18, 1990 / University Daily Kansan
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Med Center professor creates software to help in diagnosis
A University of Kansas Medical Center professor is applying artificial intelligence research to neurology for the first time in the United States.
By JoLee Fishback Special to the Kansan
Patrick Jamieson, assistant professor of neurology and director of electromyography, said a computer software program he is developing should one day help neurologists diagnose nerve and muscle disorders.
Jamieson began developing the program, called the Electrodiagnostic Assistant, five years ago while he worked at the University of Pittsburgh. He moved to the university six months ago and has continued his research here.
The software program will help doctors plan electromyography examinations and interpret the results, he
Physicians have used EMG examinations for about 40 years to pinpoint disorders ranging from the compression of a single nerve to the wasting of muscles throughout the body, such as in muscular dystrophy.
Currently, neurologists rely on experience, intuition and reasoning to diagnose disorders based on EMG data.
"The program tries to mimic that human type of reasoning," he said.
A physician would enter patient information into a microcomputer before the examination, he said.
The Electrodiagnostic Assistant program then would suggest EMG examinations for various nerve and muscle groups, he said. The neurologist could choose different EMG studies than the computer recommended.
After the EMG, the patient's results would be manually entered into the computer, which would compare the results.
What sets Jamieson's program apart from most other diagnostic programs is its ability to apply experience, logic and predictions to problem solving. The goal of the experience is to build a model of people's judgment. he said.
The software integrates EMG data with interrelated pools of knowledge that form the basis for diagnoses,
Jamieson said.
These pools of knowledge incorporate nuances and subtleties not usually associated with computer logic, he said.
Still, Jamieson said he opposed allowing untrained people to operate the program.
Electrodiagnostic Assistant should be used as a tool to help a trained neurologist perform and interpret EGM
He said it also could point out information inconsistent with a diagnosis.
Jamieson's software is not the first medical program to use artificial intelligence.
When used by EMG-trained neurologists, the program could introduce concepts not previously considered by the physician, Jamieson said.
Other computer programs, like the Internist — an internal medicine program, rely on human-like reasoning to help diagnose illnesses, he said.
However, Jamieson said other programs do not adequately explain their results.
One of the chief characteristics of Electrodiagnostic Assistance is that it provides multiple levels of explanation.
"Doctors are very critical," Jamieson said. "If you can't explain the findings, doctors aren't going to believe
Gordon Banks, assistant professor of neurology at the University of Pittsburgh, said Jamieson's in-depth explanations were the most salient feature of the software.
However, he said the time required to use Electriodiagnostic Assistant must be reduced before a neurologist
"A computer has to save him time, or at least not cost him any," Banks said.
One way to improve the operating time would be to incorporate the software directly into EMG equipment, he said.
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Jamieson's research is funded by Dante Electronics, a Danish firm that manufactures EMG equipment.
"Dantec eventually wants to commercialize it," Jamieson said. "But it could be years away."
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