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The AI assistant achieved higher accuracy in eight of the nine diagnoses, and could differentiate more clearly between diagnoses that often overlap. Credit: Neuroscience News<\/p>\n
The results showed that the AI\u00a0\u200b\u200bassistant\u2019s assessments were more consistent with the participants\u2019 actual diagnoses than the rating scales did.<\/p>\n
The study included individuals with confirmed diagnoses for conditions such as depression<\/a>, anxiety<\/a>, obsessive-compulsive disorder<\/a>, PTSD<\/a>, ADHD<\/a>, autism<\/a>, eating disorders, substance use disorder and bipolar disorder<\/a>, as well as a control group.<\/p>\n All participants had an online interview with the AI assistant, Alba, which asked 15-20 open questions about their mental health and then proposed diagnoses based on DSM-5 \u2013 the internationally-used manual for psychiatric diagnosis.<\/p>\n The AI assistant achieved higher accuracy in eight of the nine diagnoses, and could differentiate more clearly between diagnoses that often overlap. For example, the conventional rating scales often gave similar readings for depression and anxiety, whereas Alba\u2019s assessments could discern the conditions more clearly.<\/p>\n The participants also described the user experience as positive \u2013\u00a0many perceived the AI assistant as empathic, relevant and supportive.<\/p>\n \u201cAn interview that can be done in a safe home environment before meeting a clinician has great value. The results point to a scalable, person-centred complement that can lighten the load for healthcare and provide a preliminary assessment, without replacing\u00a0\u00a0the psychologist or physician,\u201d says Professor of Psychology Sverker Sikstr\u00f6m, leader of the research team behind the study at Lund University and founder of the company, Talk To Alba.<\/p>\n Analyses the entire diagnostic manual \u2013 not just individual conditions<\/p>\n According to Sverker Sikstr\u00f6m, the study marks a clear step forward in research on digital assessment tools for mental health<\/a>. Previous studies have often been confined to analysing individual diagnoses or lacked clear justifications based on diagnostic criteria, whereas Alba can propose and justify all the diagnoses included in the DSM manual.<\/p>\n Fact box: What is Talk To Alba?<\/p>\n Talk To Alba is an online-based AI tool for the assessment, treatment and administration of mental health for professionals (psychologists, psychiatrists and physicians) who work in the area.<\/p>\n The tool includes AI-powered clinical interviews and CBT for patients, automatic diagnosis of mental health justified in accordance with DSM-5, informed AI dialogues about patients for clinics, and the transcribing and journal note-taking of patient meetings.<\/p>\n Alba, which is used at clinics in Sweden and abroad, is owned by\u00a0TalkToAlba AB<\/a>.\u00a0<\/p>\n Key Questions Answered:Q: Can an AI interview detect psychiatric conditions more accurately than rating scales?<\/p>\n A: Yes. The AI assistant showed higher diagnostic accuracy than standardized scales in eight of nine conditions.<\/p>\n Q: Does the AI differentiate between overlapping conditions effectively?<\/p>\n A: It does. Alba separated diagnoses like anxiety and depression more clearly than conventional tools.<\/p>\n Q: How did participants respond to the AI-led interviews?<\/p>\n A: Most described the experience as empathic, relevant, and supportive.<\/p>\n Editorial Notes:This article was edited by a Neuroscience News editor.Journal paper reviewed in full.Additional context added by our staff.About this AI and mental health research news<\/p>\n Author: Lotte Billing<\/a>
Source: Lund University<\/a>
Contact: Lotte Billing \u2013 Lund University
Image: The image is credited to Neuroscience News<\/p>\n