AI Driven Case Study of the Misdiagnosis of Nicholas David Mirisola

Nicholas David Mirisola
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Nicholas David Mirisola: Spirit Walker Health

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 17, 257-284

Abstract: This AI driven case study explores the misdiagnosis of Nicholas David Mirisola, focusing on the complexities surrounding psychiatric evaluations, artificial intelligence (AI) applications in diagnostics, and the unique aspects of Mirisola’s psychological profile. It emphasizes the need for individualized assessments, acknowledging the interplay between creativity, intelligence, and mental health conditions such as Schizoaffective Disorder and PTSD. The misdiagnosis of psychiatric disorders has been a critical concern, highlighting the intricacies of psychiatric evaluations. The case study of Nicholas (Nick) David Mirisola serves as an exemplar, shedding light on the challenges of diagnosing complex mental health conditions. This paper aims to establish a framework examining the historical context of psychiatric misdiagnosis and its implications on current practices. A significant aspect of this exploration includes the misdiagnosis experienced by Mirisola, where individual psychological factors lead to challenges. The importance of recognizing high intelligence and creativity as complicating factors in psychiatric diagnoses is crucial. The intersection of traditional methods and AI technologies offers new avenues for individualized treatment paradigms. The complexities of diagnosing conditions like Schizoaffective Disorder necessitate analyzing existing theoretical frameworks and empirical insights. Traditional criteria have struggled to encapsulate the unique psychological profiles associated with this condition, emphasizing the need for a nuanced approach that considers an individual’s life experiences and cognitive profiles. Research shows that creativity and intelligence may overlap with psychiatric symptoms, challenging standard diagnostic paradigms. Recent advancements in technology, particularly AI, demonstrate promise in enhancing diagnostic accuracy and therapeutic efficacy. However, significant gaps exist regarding the psychological experiences of individuals with complex mental health needs. The exploration of these themes is crucial for improving clinical practices.

Date: 2025
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