PitchBook-创新焦点：心理健康中的人工智能（英）

1PitchBook Data, Inc.Nizar Tarhuni Executive Vice President of Research and Market IntelligencePaul Condra Global Head of Private Markets ResearchJames Ulan Director of Emerging Technology ResearchInstitutional Research GroupAnalysisAaron DeGagne, CFA Senior Research Analyst, Healthcare aaron.degagne@pitchbook.comDataCollin Anderson Senior Data Analystpbinstitutionalresearch@pitchbook.comPublishingDesigned by Chloe LadwigPublished on June 3, 2025ContentsInnovation overview1Market analysis3Emerging providers4Deal activity5Appendix7EMERGING TECH RESEARCHInnovation Spotlight: AI in Mental HealthFrom algorithms to empathy, AI is taking a growing role in addressing mental health needsPitchBook is a Morningstar company providing the most comprehensive, most accurate, and hard-to-find data for professionals doing business in the private markets.1: “Using ChatGPT for Therapy? The AI Chatbot Can Get Anxiety, Too,” PYMNTS, April 24, 2025.Innovation overviewMental health care remains deeply fragmented—marked by provider shortages, long wait times, and expensive care options. Against this backdrop, emerging applications of AI are proving to be a meaningful lever to improve access to mental health care and enable patient engagement between care sessions.There is significant untapped demand for patient-facing AI mental health solutions: Results from a recent survey show that half of large language model (LLM) users with mental health needs use AI chatbots for mental health support.1 This is a remarkable statistic, as these chatbots are not optimized to provide mental health support, and shows that clinical-grade solutions need to evolve fast to catch up with rapidly expanding consumer adoption of major consumer-facing LLMs such as ChatGPT. There are core opportunities to provide care for those who are not currently engaged with professional care and those who need support between sessions. It will also be important to promote AI mental health models safely given the risks involved in delivering subpar care.AI has the potential to influence the broader mental health care ecosystem on several fronts: matching patients with providers more effectively, unlocking novel approaches to diagnostics, and reducing digital overhead for clinicians through clinical documentation support. The AI mental health care startup landscape includes a diverse set of solutions, which can be divided into several distinct categories:• Personalization: Platforms like Lyra Health and Spring Health use data to optimize care matching and outcomes.• Provider support: Eleos Health, Limbic, and Ellipsis Health reduce documentation overhead, enabling clinicians to focus more on patient care.2Q2 2025 Innovation Spotlight: AI in Mental Health• Diagnostics: Tools from acceXible and Kintsugi detect mental health changes from vocal and cognitive biomarkers.• Access: Consumer chatbots such as Wysa, Youper, and Sonar Mental Health enable 24/7, stigma-free support through AI companions.AI-driven m