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Comparison of AI, diagnostic generator, and expert opinion in difficult neurologic diagnosis: real-world case study
1Department of Neurology, Hartford Hospital, University of Connecticut School of Medicine, Hartford, CT, USA.
Objectives:
Comparative diagnosis of AI vs. diagnostic generator and expert opinion in complex neurologic cases is limited. We present the results of a comparative study of these three diagnostic methods.
Methods:
A real-world study of two rare and challenging neurologic diseases was studied using 3 computer-assisted diagnostic programs, 2 AI (Chat-GPT4 and GLASS AI), diagnostic generator (NeurologicDx) and expert opinion.
Results:
The correct diagnosis was suggested by diagnostic generator but not by expert opinion or either AI program.
Conclusions:
Diagnostic generator outperformed AI and expert opinion supporting its use in difficult neurologic diagnosis.
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