This case study explores the application of large language models (LLMs) in analyzing forensic psychiatry expert reports. By leveraging AI to interpret complex psychiatric assessments, this research highlights the potential of LLMs to enhance accuracy, consistency, and efficiency in forensic evaluations. The study offers insights into how artificial intelligence can assist legal and clinical decision-making by identifying patterns, language use, and key diagnostic indicators within expert reports.
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