Electronic-Brain Medical Erudite: its past, present, and future

Area of Science:

• Medical Informatics
• Artificial Intelligence in Medicine
• Clinical Decision Support Systems

Background:

• The Electronic-Brain Medical Erudite (EBME) is a comprehensive medical consultation system.
• Its foundation is the Enormous Knowledge Base of Disease Diagnosis Criteria (EKBDDC), encompassing 1,001 diagnostic entities and nearly 4,000 diagnostic indicators.
• Initially developed on a low-cost microcomputer using BASIC, EBME supports disease prompting and diagnostic teaching.

Purpose of the Study:

• To evaluate the preliminary performance of the EBME system.
• To assess its diagnostic accuracy and utility in clinical settings.
• To outline future improvements and system expansion.

Main Methods:

• A preliminary evaluation was conducted using a series of 815 clinical cases.
• The system's diagnostic performance was compared qualitatively with hospital clinicians.
• Diagnostic accordance rates were calculated to quantify performance.

Main Results:

• The EBME system demonstrated diagnostic accordance rates of 89.7%, 89.4%, and 85% across trials.
• The system's performance was qualitatively similar to that of hospital clinicians.
• The system successfully aids in prompting typical diseases and teaching diagnosis.

Conclusions:

• EBME shows promising diagnostic capabilities comparable to human clinicians.
• The system is undergoing upgrades to a 386 microcomputer with a relational database (FoxBASE PLUS).
• Future developments aim to enhance, expand, and connect EBME with international medical information systems.