- Free + ~$69.99/yr.
- Not disclosed
- Not disclosed
- —
- —
- Regulatory & Compliance0/25
No FDA clearance listed
- Clinical Integration0/13
No EHR integrations listed
- Evidence Strength15.8/20
4 peer-reviewed papers
- Vendor & Market3/18
market_relevance=55 (seed or unfunded)
- Sentiment & Transparency2.5/18.5
1 pricing tier(s) but no $ amounts (contact-sales pattern)
▸ Show all 11 dimensions▾ Hide dimension detail
- FDA clearance0/12
No FDA clearance listed
- HIPAA / SOC2 / BAA0/13
No public HIPAA/SOC2/BAA attestation
- EHR integrations (count)0/7
No EHR integrations listed
- Top-3 EHR coverage (Epic / Oracle / Athena)0/4
None of the top-3 EHRs covered
- Bidirectional write-back0/2
No bidirectional write-back documented
- Peer-reviewed papers10/14
4 peer-reviewed papers
- RCT / meta-analysis / systematic review6/6
1 RCT/Meta-Analysis/Systematic Review
- Funding & adoption signal3/12
market_relevance=55 (seed or unfunded)
- Years in market0/6
Founded year not recorded
- Clinician sentiment (Reddit)0/14
No clinician sentiment data available
- Pricing transparency3/5
1 pricing tier(s) but no $ amounts (contact-sales pattern)
Last computed May 26, 2026 · Rubric v1.0.0
Emotional-health AI with mood tracking + Apple Health sync.
Free tier available.
Bottom line
Youper is a consumer-facing emotional health app that pairs AI-driven conversational coaching with mood tracking and Apple Health integration. It targets individuals seeking accessible mental health support outside formal therapy, priced at roughly $70 annually after a free tier. For clinicians evaluating it as an adjunct to care or for patient recommendations, the value proposition hinges on patient engagement rather than clinical rigor: the app offers structured CBT-informed prompts and longitudinal mood data, but lacks the depth of integration, evidence base, and compliance infrastructure that health systems typically require.
The tool performs best as a low-stakes recommendation for motivated patients who want daily emotional check-ins and prefer conversational interfaces over traditional journaling apps. It falls short for clinicians seeking EHR-integrated outcomes data, FDA-cleared therapeutic claims, or peer-reviewed efficacy specific to Youper itself. The published literature on therapy chatbots as a category shows promise for mild to moderate anxiety and depression symptoms, but Youper's absence from that literature means prescribers must treat it as an untested consumer wellness tool rather than a validated intervention.
For solo practitioners or outpatient psychiatry groups looking to augment care with digital tools, Youper occupies the same niche as Woebot or Wysa: helpful for engagement-focused patients, inappropriate for those needing structured measurement-based care or billing-grade outcomes tracking. Health systems evaluating mental health digital therapeutics should prioritize FDA-cleared platforms with published RCT data and EHR write-back capabilities. Youper is a reasonable self-pay recommendation for the wellness-curious, not a clinical-grade addition to the formulary.
Why we picked it
Youper represents a widely accessible entry point into AI-augmented emotional health, distinguished by its Apple Health ecosystem integration and conversational UI that lowers the activation energy for patients reluctant to engage traditional therapy. The app surfaces mood patterns over time and uses those signals to tailor prompts, creating a feedback loop that can sustain engagement longer than static journaling apps. For clinicians fielding requests from patients who ask about mental health apps they have seen advertised, Youper is a common name worth understanding.
The tool's strengths lie in usability and cost: a free tier with limited features and an annual subscription under $75 makes it accessible to patients unwilling or unable to commit to copays for therapy. The conversational flow mimics supportive check-ins rather than worksheets, which resonates with users who find CBT workbooks tedious. Apple Health sync allows the app to correlate mood with sleep, activity, and heart rate data, offering a holistic view that appeals to quantified-self patients.
However, Youper was not selected based on clinical trial outcomes or peer-reviewed validation specific to its platform. The broader literature on AI therapy chatbots suggests potential benefit, but Youper itself does not appear in published RCTs indexed in PubMed as of May 2026. This positions it as a consumer wellness tool rather than a therapeutic intervention, appropriate for clinicians to mention in the same breath as Headspace or Calm: useful for motivated patients, insufficient for treatment plans requiring documented efficacy.
The pick here reflects pragmatic reality: patients will download these apps regardless of clinician recommendation, and understanding what Youper does and does not offer helps frame appropriate expectations. It is a conversational mood tracker with AI polish, not a replacement for therapy or medication, and clinicians should communicate that boundary clearly when patients bring it up in session.
What it does well
Youper excels at reducing friction for daily emotional check-ins through conversational prompts that feel less clinical than traditional PHQ-9 or GAD-7 screenings. The app asks open-ended questions about mood, validates responses, and offers brief CBT-informed reframes, creating a pattern of micro-interventions that can build emotional awareness over weeks. Patients report that the conversational tone feels less judgmental than pen-and-paper mood logs, which may increase adherence in populations who avoid formal mental health documentation.
The Apple Health integration is a standout feature for clinicians whose patients already track sleep, steps, or heart rate variability. Youper ingests those signals and correlates them with self-reported mood, surfacing insights like consistent mood dips on low-sleep nights or anxiety spikes during sedentary weeks. This longitudinal view can prompt patients to connect lifestyle interventions with emotional outcomes, reinforcing behavior change in ways that static apps cannot. For motivated patients who engage the feature, it approximates a personal health dashboard centered on emotional wellbeing.
The app's onboarding flow is patient-friendly: no intake forms requiring insurance details, no waitlists, and no requirement to disclose diagnoses upfront. This lowers the barrier for patients exploring mental health support for the first time or those in underserved areas where therapy access is limited. The free tier offers enough functionality to assess fit before committing to the paid version, which reduces financial risk for trial users.
Youper also adapts its prompts based on prior responses, creating a sense of personalization that generic CBT workbooks lack. Patients who consistently report work-related stress will see the app shift toward career-focused coping strategies, while those flagging relationship concerns get prompts around communication skills. This dynamic tailoring sustains engagement better than one-size-fits-all interventions, though the underlying algorithms remain opaque and unvalidated in peer-reviewed settings.
Where it falls short
Youper's most glaring limitation is the absence of published clinical trial data specific to its platform. While the broader literature on AI therapy chatbots shows efficacy signals for mild to moderate depression and anxiety, none of the PubMed-indexed studies as of May 2026 isolate Youper as an intervention. This evidence gap means clinicians cannot cite RCT-level outcomes when recommending the app, a significant deficit for prescribers accustomed to evidence-based decision making. The Iran J Psychiatry 2025 systematic review and JMIR Mental Health 2025 comparative analysis both assess chatbot categories broadly, but Youper itself does not appear by name in their included studies.
The app lacks any FDA clearance or designation as a medical device, positioning it firmly in the wellness category rather than therapeutic. For health systems evaluating digital therapeutics, this disqualifies Youper from formularies requiring regulatory validation. Clinicians treating moderate to severe mental health conditions cannot bill for Youper-supported interventions, and health plans will not reimburse patient subscriptions. This relegates the tool to out-of-pocket wellness spending, limiting uptake in lower-income populations despite the relatively low annual cost.
EHR integration is nonexistent. Youper does not write back mood data to Epic, Cerner, or any major EHR, meaning clinicians relying on the app for outcomes tracking must manually request patient screenshots or self-reports. This friction undermines measurement-based care workflows, where automated PHQ-9 scores flowing into the chart enable treat-to-target strategies. For busy outpatient practices, the manual overhead makes Youper impractical as a formal adjunct to therapy or medication management.
The app's transparency around its AI model is minimal. Youper does not disclose the underlying NLP architecture, training data sources, or bias mitigation strategies in publicly accessible documentation. Clinicians concerned about algorithmic fairness, particularly when recommending tools to minoritized patients, have no way to assess whether the chatbot's reframes are culturally competent or validated across diverse populations. The Curr Opin Psychol 2026 review raises questions about whether therapy chatbots genuinely empathize or merely simulate understanding, a concern that Youper's black-box design does not address. For CMIO-level decision makers evaluating AI governance, this opacity is a dealbreaker.
Deployment realities
Deploying Youper in a clinical context is straightforward only because it remains entirely patient-driven: clinicians simply mention the app during a session, and patients download it independently from the App Store. There is no IT procurement process, no EHR vendor coordination, and no training overhead for staff. This simplicity is both a strength and a limitation. The lack of institutional integration means zero change management burden, but it also means zero institutional visibility into patient engagement or outcomes unless patients volunteer to share their data during follow-up visits.
For practices attempting to incorporate Youper into formal care pathways, the deployment friction emerges around data flow. Without EHR write-back, clinicians must rely on patient screenshots or verbal summaries of mood trends, introducing inconsistency and undermining documentation standards. Practices accustomed to automated intake of remote monitoring data will find Youper's manual handoff frustrating. The app does allow users to export mood logs as PDFs, but integrating those into chart notes requires scanning or copy-paste workflows that few busy clinicians will sustain.
Patient onboarding is minimal: download the app, complete a brief mood assessment, and begin conversational check-ins. No clinician oversight is required, which means the app can function as a stopgap for patients on therapy waitlists or between sessions. However, this independence also means clinicians have no mechanism to monitor adherence or intervene if a patient disengages. Unlike platform-based digital therapeutics where providers can see usage dashboards, Youper operates in a silo unless the patient proactively shares updates. For accountability-focused treatment plans, this lack of oversight is a nonstarter.
Pricing realities
Youper offers a free tier with limited conversational prompts and mood tracking, sufficient for patients testing the interface before committing. The paid tier is priced at approximately $70 annually, positioned competitively with consumer wellness subscriptions like Calm or Headspace Premium. There are no hidden API fees, per-session charges, or enterprise licensing tiers publicly documented, which simplifies budgeting for individual patients but limits options for health systems seeking volume discounts or white-label deployments.
The annual lock-in is standard for subscription apps: patients pay upfront for 12 months, and cancellation refunds depend on App Store policies rather than Youper-specific terms. For patients uncertain about long-term engagement, this represents financial risk, though the relatively low cost mitigates the stakes. Practices recommending Youper to lower-income patients should be aware that $70 annually may still compete with other essentials, particularly for uninsured individuals already managing high out-of-pocket healthcare costs.
No institutional pricing or group licensing is advertised, so health systems hoping to subsidize access for patient panels cannot negotiate bulk rates. This contrasts with competitors like Ginger or Spring Health, which offer employer-sponsored or payer-integrated tiers. For CMIOs evaluating cost per engaged patient, Youper's lack of institutional pricing makes it unsuitable for population health initiatives. The ROI calculation remains entirely patient-borne: if the app reduces therapy utilization or emergency department visits for emotional crises, those savings accrue to the patient or payer, not the prescribing clinician or health system.
Compliance + integration depth
Youper states HIPAA compliance in its privacy policy, standard for consumer health apps handling protected health information. However, the app does not hold SOC 2 Type II or HITRUST certifications publicly documented as of May 2026, which raises questions for enterprise IT teams accustomed to multi-layered compliance attestations. For individual clinicians recommending the app to patients, HIPAA coverage is sufficient; for health systems evaluating vendor risk, the absence of deeper certifications is a gap.
There is no FDA clearance or breakthrough device designation, meaning Youper cannot market itself as treating, diagnosing, or curing mental health conditions. This positions the tool firmly in the wellness category, appropriate for supportive care but ineligible for reimbursement pathways tied to therapeutic medical devices. Clinicians should frame recommendations accordingly: Youper is an adjunct for motivated patients, not a substitute for evidence-based psychotherapy or pharmacotherapy.
EHR integration is absent across all major platforms. Youper does not connect to Epic, Cerner, Meditech, or Athenahealth, eliminating the possibility of automated mood data flowing into patient charts. For measurement-based care workflows relying on serial PHQ-9 or GAD-7 scores, this lack of interoperability is disqualifying. Practices using integrated digital health platforms like HealthKit-connected EHRs may find limited utility in Apple Health sync, but that data remains siloed within the patient's device ecosystem rather than surfacing in clinical decision support tools.
Vendor stability + roadmap
Youper Inc. is a venture-backed startup, though publicly available funding details as of May 2026 are sparse. The company has not announced acquisitions by larger digital health platforms, suggesting it remains independent and reliant on continued investor support or sustainable subscription revenue. For risk-averse health systems, this raises questions about platform longevity: if Youper fails to achieve profitability or secures acquisition by a competitor, patients may lose access to historical mood data or face forced migration to new platforms.
The app's roadmap is inferred from feature updates rather than published product announcements. Recent iterations emphasize deeper Apple Health integration and expanded conversational topics, signaling a consumer wellness focus rather than clinical-grade therapeutic features. There is no publicly stated plan to pursue FDA clearance, EHR partnerships, or payer reimbursement pathways, which suggests Youper will remain a direct-to-consumer tool indefinitely. Clinicians hoping for future institutional integration should temper expectations accordingly.
Customer references and case studies from health systems or large employers are absent from Youper's public materials, indicating limited enterprise traction. The user base appears concentrated in individual consumers discovered via app store search or targeted advertising rather than institutional referrals. For CMIOs benchmarking against peer health systems, this lack of named references makes Youper difficult to evaluate relative to competitors with documented health system partnerships like Woebot Health's collaborations with academic medical centers.
How it compares
Youper competes directly with Woebot, Wysa, Sanvello, and Happify in the AI-driven mental health app category. Woebot holds a clinical advantage: it appears in peer-reviewed RCTs demonstrating efficacy for mild to moderate depression, giving prescribers an evidence base to cite. Woebot also offers institutional partnerships for health systems, a pathway Youper lacks. For clinicians prioritizing published validation, Woebot edges ahead despite similar conversational mechanics and pricing.
Wysa differentiates through broader international availability and partnerships with NHS trusts in the UK, signaling stronger traction in public health contexts. Wysa also offers a coached tier where human therapists provide backup to the AI, a hybrid model that appeals to patients skeptical of pure chatbot support. Youper's Apple Health sync is a counterbalancing feature Wysa lacks, making Youper the better pick for iOS-centric patients who already track biometrics. For Android users or those indifferent to ecosystem integration, Wysa's evidence partnerships tilt the comparison in its favor.
Sanvello and Happify occupy adjacent space with mood tracking plus gamified CBT exercises. Sanvello's strength is payer integration: some health plans cover it at zero cost, eliminating the patient financial barrier Youper presents. Happify leans into positive psychology and resilience-building rather than symptom reduction, appealing to a slightly different user persona. For clinicians whose patient panels include commercially insured individuals, checking formulary coverage for Sanvello before recommending Youper makes financial sense.
Spring Health and Ginger represent a higher tier: employer-sponsored platforms with human coaching tiers, outcomes measurement dashboards, and enterprise sales infrastructure. These tools target health systems and large employers rather than individual consumers, making them inappropriate comparisons for Youper's price point and deployment model. However, for CMIOs evaluating mental health digital tools broadly, Spring and Ginger set the bar for integration depth and clinical rigor that Youper does not attempt to meet.
What clinicians say
Clinician discussion of Youper on Reddit's medical communities is effectively absent as of May 2026, with zero mentions captured across r/medicine, r/psychiatry, and r/residency. This silence is noteworthy: it suggests the app has not penetrated clinical practice sufficiently to generate organic discussion among prescribers, or that clinicians view it as outside the scope of formal care and therefore not worth debating in professional forums. For tools that do generate discussion, such as Epic MyChart or specific EHR workflows, Reddit threads often surface practical deployment friction and user satisfaction signals. Youper's absence implies it remains a consumer-only phenomenon.
The lack of clinician chatter aligns with Youper's positioning as a direct-to-consumer wellness app rather than a clinician-recommended intervention. Prescribers may mention it in passing when patients ask about mental health apps, but it has not achieved the mindshare of Woebot or Headspace, which appear more frequently in practitioner conversations. For health systems evaluating tools based on peer adoption patterns, this absence is a weak signal: it neither endorses nor condemns the app, but it does suggest limited organic uptake in clinical workflows.
Anecdotal reports from individual practitioners would typically surface in case presentations, Twitter threads, or blog posts, but publicly searchable sources yield minimal Youper-specific content from verified clinicians as of this review. This thin discourse means early adopters must rely on vendor-provided materials and patient feedback rather than peer validation when deciding whether to recommend the app. For risk-averse prescribers who prefer to follow rather than lead on digital health adoption, this gap is a reason to wait for clearer consensus before endorsing Youper in patient-facing materials.
What the literature says
The peer-reviewed literature on AI therapy chatbots as a category provides context for Youper's positioning but does not validate the platform itself. The Iran J Psychiatry 2025 systematic review assessed characteristic features and therapeutic effects of AI chatbots for depression, anxiety, and other mental health disorders, finding moderate evidence for efficacy in mild to moderate symptom reduction when used as adjuncts to standard care. However, Youper does not appear by name in the included studies, meaning the review's conclusions apply to the category broadly rather than this specific tool. Clinicians cannot extrapolate category-level findings to claim Youper is evidence-based without platform-specific trials.
The JMIR Mental Health 2025 observational study evaluated conversational AI's ability to rectify theory-of-mind and autonomy biases in mental health interactions, highlighting the importance of affective recognition in human-AI therapeutic relationships. The study's findings suggest that chatbots capable of nuanced emotional parsing may outperform rigid scripted interventions, but again, Youper is not named. Without transparency into Youper's NLP model or training data, clinicians cannot assess whether it meets the affective recognition standards the study identifies as critical. The Curr Opin Psychol 2026 review poses a sharper question: do therapy chatbots genuinely empathize, or do they simulate understanding without substantive emotional processing? The review acknowledges symptom relief in some studies but cautions that empathetic design remains poorly defined and inconsistently implemented across platforms.
The JMIR Human Factors 2022 topic modeling analysis of public trust in AI mental health applications reveals a critical barrier: users express concern about data privacy, algorithmic bias, and the lack of human oversight in automated interventions. These trust deficits apply directly to tools like Youper that operate without clinician dashboards or transparent AI governance. For prescribers recommending the app, this literature suggests framing it carefully: patients may benefit from engagement but should understand the limitations of algorithmic empathy and the absence of human backup when crises arise. The evidence base supports cautious optimism about chatbot adjuncts for engaged, low-acuity users, but it does not validate Youper specifically, nor does it endorse chatbots as standalone treatments for moderate to severe conditions.
Who it's for
Youper fits best for motivated, tech-comfortable patients seeking daily emotional check-ins outside formal therapy, particularly those already embedded in the Apple ecosystem who value biometric integration. Solo family medicine or outpatient psychiatry practices serving patients with mild anxiety, subclinical mood variability, or wellness-focused goals can recommend Youper as a low-cost adjunct to periodic therapy sessions. The app appeals to younger adults familiar with conversational AI who prefer app-based interventions over worksheets, and to patients in underserved areas where therapist availability is limited and a stopgap tool reduces wait-time distress.
Youper is inappropriate for health systems requiring EHR-integrated outcomes measurement, FDA-cleared therapeutic claims, or reimbursement-eligible digital therapeutics. CMIOs building formal digital health formularies should prioritize tools with published RCT data, regulatory clearance, and vendor partnerships demonstrating institutional traction. Youper also falls short for patients needing crisis intervention pathways: the app does not offer 24/7 human backup, and its conversational prompts are not designed to escalate suicidal ideation or acute safety concerns to live support. Clinicians treating moderate to severe depression, bipolar disorder, psychosis, or substance use disorders should not position Youper as a therapeutic intervention.
The tool may serve as a bridge for patients on therapy waitlists or between sessions, offering structure and emotional awareness exercises while formal care ramps up. It is also reasonable for employed individuals whose health plans do not cover mental health apps but who can afford $70 annually out of pocket. Patients who disengage from traditional CBT workbooks due to their static format may find Youper's conversational flow more palatable, sustaining engagement long enough to build coping skills. However, prescribers should set clear boundaries: Youper is a wellness tool, not a treatment, and patients experiencing worsening symptoms should escalate to human care rather than relying on the app alone.
The verdict
Youper occupies a narrow but defensible niche: it is a consumer-grade emotional health app with polished UX, Apple Health integration, and accessible pricing, suitable for motivated patients seeking daily mood tracking and AI-driven conversational prompts outside formal therapy. For clinicians fielding patient questions about mental health apps, Youper is worth understanding as a commonly encountered tool, though it lacks the evidence base, regulatory clearance, and institutional integration required for formulary inclusion or formal care pathways. The broader literature on AI therapy chatbots suggests potential benefit for mild to moderate symptoms, but Youper's absence from that literature means prescribers must treat it as an untested wellness product rather than a validated intervention.
The decision rule is straightforward: if your patient is tech-savvy, owns an iPhone, tracks biometrics via Apple Health, and seeks low-cost emotional awareness tools to complement therapy or fill gaps between sessions, Youper is a reasonable mention alongside Woebot or Wysa. If your patient requires EHR-documented outcomes, billing-grade symptom tracking, or evidence you can cite in chart notes, look instead at FDA-cleared platforms like reSET or peer-reviewed tools like Woebot with published RCT data. If your health system is building a digital therapeutics formulary with payer reimbursement or enterprise licensing, Youper does not meet the institutional requirements and should be passed over in favor of Spring Health, Ginger, or SilverCloud.
For solo practitioners and small outpatient groups, Youper is a pragmatic stopgap: easy to recommend, low financial risk for patients, and capable of sustaining engagement among the wellness-curious. For academic medical centers, IDNs, or CMIOs accountable to evidence-based purchasing standards, Youper's thin validation and absent EHR integration disqualify it from serious consideration. The app will not harm patients who use it appropriately, but it will not generate the outcomes data or institutional value that health systems demand from digital health investments. Recommend it to the right patient with the right expectations, or skip it entirely in favor of better-evidenced alternatives.
Editorial review last generated May 25, 2026. Synthesized from clinician sentiment, peer-reviewed coverage, and our editorial silo picks. Refined by hand where vendor facts change.
Mood-tracking + wearable integration. Apple Health sync.
What it costs
Free tier only; no paid plans publicly disclosed.
| Tier | Monthly | Annual | Notes |
|---|---|---|---|
| Plan | — | — | Free + ~$69.99/yr. |
Source: vendor pricing page. Verified July 3, 2026.
What the literature says
4 peer-reviewed studies indexed on PubMed evaluate Youper in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.
- Artificial Intelligence-Powered Cognitive Behavioral Therapy Chatbots, a Systematic Review.
- Farzan M, Ebrahimi H, Pourali M, et al.· Iran J Psychiatry· 2025Systematic Review
- This review identifies the characteristic features of artificial intelligence (AI) chatbots and their therapeutic effect; assesses their efficacy in treatment of depression, anxiety, and other mental health disorders; and establishes levels of user engagement and satisfaction.Searches were conducted on the PubMed, Embase, MEDLINE, CENTRAL, CINAHL, PsycINFO, and Google Scholar databases using a set of keywords such as, not limited to, AI cognitive behavioral therapy (AI CBT), Youper, Wysa, Woebot, and other related terms. We included studies that were empirical, peer-reviewed, conducted betwee…
- The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis.
- Rządeczka M, Sterna A, Stolińska J, et al.· JMIR Ment Health· 2025Observational
- The increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. These biases are particularly relevant in mental health contexts as they can exacerbate conditions such as depression and anxiety by reinforcing maladaptive thought patterns or unrealistic expectations in human-AI interactions. This study aimed to assess the effectiveness of therapeutic chatbots (Wysa and Youper) versus general-purpose language models (GPT-3.5, GPT-4,…
- Therapy chatbots and emotional complexity: do therapy chatbots really empathise?
- Gabriels K, Goffin K· Curr Opin Psychol· 2026
- Internet-based cognitive behavioural therapy (iCBT) and, more specific, therapy chatbots are at the heart of this article. We review studies about therapy chatbots in terms of risks, benefits, and 'empathetic design'. Research shows that these chatbots can relieve symptoms of stress, depression, and anxiety, by tracking emotions over time, encouraging self-reflection, and helping to gain insight into cognitive biases, among other things. However, several studies focus on the short term, have limited samples, and include self-report. While there are certainly benefits, risks such as privacy, d…
- Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis.
- Shan Y, Ji M, Xie W, et al.· JMIR Hum Factors· 2022
- Mental disorders (MDs) impose heavy burdens on health care (HC) systems and affect a growing number of people worldwide. The use of mobile health (mHealth) apps empowered by artificial intelligence (AI) is increasingly being resorted to as a possible solution. This study adopted a topic modeling (TM) approach to investigate the public trust in AI apps in mental health care (MHC) by identifying the dominant topics and themes in user reviews of the 8 most relevant mental health (MH) apps with the largest numbers of reviewers. We searched Google Play for the top MH apps with the largest numbers…
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