The study investigates how well advanced Large Language Models can assist health professionals in summarizing therapy sessions by aspect-based analysis. This represents a crucial tool for improving session efficacy while respecting the delicate nature of mental health practitioners’ work. ### Overview:

• Introduction of MentalCLOUDS dataset

• Evaluation using 11 different LLMs

• Focused on aspect-based summarization

  Importance:

  This research indicates that AI has a potent role to play in transforming mental health counseling by offering time-efficient, effective recording methods. Possibilities for AI integration in mental health are vast, pushing forward the capabilities of therapeutic practices while ensuring accessibility and ethical handling of sensitive information.

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