The potential use of artificial intelligence in the therapy of borderline personality disorder

Abstract

This paper explores the possibility of AI-based addendum therapy for borderline personality disorder, its potential advantages and limitations. Identity disturbance in this condition is strongly connected to self-narratives, which manifest excessive incoherence, causal gaps, dysfunctional beliefs, and diminished self-attributions of agency. Different types of therapy aim at boosting self-knowledge through self-narratives in BPD. The suggestion of this paper is that human-to-human therapy could be complemented by AI assistance holding out the promise of making patients' self-narratives more coherent through improving the accuracy of their self-assessments, reflection on their emotions, and understanding their relationships with others. Theoretical and pragmatic arguments are presented in favour of this idea, and certain technical solutions are suggested to implement it.

Critical analysis of the AI impact on the patient–physician relationship: A multi-stakeholder qualitative study

“… 11 , 12 , 17 All of the participants emphasised the importance of the patient–physician relationship and the need to preserve its core values, which are based on trust and honesty, achieved through open and sincere communication. In the realm of mental health, several studies 30 – 32 have endorsed the use of AI in an assistive role as playing a positive role in improving openness and communication while avoiding potential complications in interpersonal relationships, since patients in mental health context may be more willing to disclose personal information to AI rather than physicians.…”

Probabilistic graphical model for the evaluation of the emotional and dramatic personality disorders

“…From 2015 onward there has been, according to Graham et al (2019), a steep increase in the number of publications about AI for mental health. However, our database search (Scopus, Web of Science, Science Direct, PubMed, IEEE Xplore) with the terms "expert system, " "decision support system, " or "artificial intelligence" on the one hand, and "personality disorders" or any of the individual disorders on the other, only returned tangential research (Singh et al, 2020;Ellouze et al, 2021;Khazbak et al, 2021), proposals (Tuena et al, 2020;Sulistiani et al, 2021;Szalai, 2021), or proofs of concept (Nunes et al, 2009;Casado-Lumbreras et al, 2012;Randa and Permanasari, 2014;Laijawala et al, 2020).…”

Humans, machines and decisions: Clinical reasoning in the age of artificial intelligence, evidence‐based medicine and Covid‐19

“…The papers in the opening section [1][2][3][4][5][6][7][8][9] present a diverse and highly original series of discussions regarding both the possible uses and potential problems for AI in healthcare, considering some novel ways to overcome them. Authors examine the role of AI in diagnosing and treating numerous mental health disorders, in narrative therapy, [1][2][3] in maternity care and shared decision-making.…”

“…The papers in the opening section [1][2][3][4][5][6][7][8][9] present a diverse and highly original series of discussions regarding both the possible uses and potential problems for AI in healthcare, considering some novel ways to overcome them. Authors examine the role of AI in diagnosing and treating numerous mental health disorders, in narrative therapy, [1][2][3] in maternity care and shared decision-making. 4 Discussions of machine learning, decision-support systems, interpretation, bias and the limitations of AI [5][6][7][8] are supplemented by consideration of the prospects for AI in facilitating the creation of a 'physicianless' experience for patients and a broad 'reconsideration of the role of humans in medical decision-making'.…”