August 14, 2025Open Access

AI vs Human Performance in Conversational Hospital-Based Neurological Diagnosis

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Evaluation shows AI achieves higher diagnostic accuracy and lower costs than human neurologists in clinical settings.

AI systems, particularly a multi-agent model, achieved better diagnostic accuracy than human neurologists, with 81% accuracy for humans and 94% for AI.
Gregory, the AI model, provided faster diagnoses at an average cost of $1,423, significantly less than human neurologists' average of $3,041.
The study involved assessing 14 neurologists and multiple state-of-the-art large language models across 16 clinical cases for accuracy, costs, and time.
Findings highlight how AI enhances diagnostic efficiency, suggesting a need for integrating conversational AI in clinical practices.

Sorka et al. (2025) studied this question.

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August 14, 2025Open Access

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Authors

Evaluation shows AI achieves higher diagnostic accuracy and lower costs than human neurologists in clinical settings.

AI systems, particularly a multi-agent model, achieved better diagnostic accuracy than human neurologists, with 81% accuracy for humans and 94% for AI.
Gregory, the AI model, provided faster diagnoses at an average cost of $1,423, significantly less than human neurologists' average of $3,041.
The study involved assessing 14 neurologists and multiple state-of-the-art large language models across 16 clinical cases for accuracy, costs, and time.
Findings highlight how AI enhances diagnostic efficiency, suggesting a need for integrating conversational AI in clinical practices.

Sorka et al. (2025) studied this question.

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