[KongchangAI]
Concept

MindSim

An LLM-driven simulated patient framework that combines patient profiles with tool calling and includes a cross-interaction memory component to support longitudinal evaluation of mental health issues.

Timeline (last 90 days)

Oct 16

MindEval2 is a mental health AI evaluation framework composed of two parts: the Mental Health Quality Rubric (MHQR) for evaluation and MindSim for patient simulation.

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Oct 16

MindSim is an LLM-driven simulation framework that produces more diverse and more challenging patient interactions by combining carefully designed patient profiles with tools.

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Oct 16

MindSim includes a memory component that is updated between each interaction, enabling MindEval2 to model the longitudinal dimension of mental health problems.

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Oct 16

In clinical psychology, longitudinal assessment refers to repeatedly measuring the same individual at multiple time points to observe the trajectory of state changes, and the memory component of MindSim is designed precisely for this.

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