AI Mental Health Frontier AI Mental Health Frontier — Ethical Risk Tests Must Precede Therapist-Like Chatbots A practitioner-informed study identifies 15 ethical risks in therapist-like LLM behavior, turning vague concerns about AI counseling into concrete pre-deployment tests.
AI Mental Health Frontier AI 心理健康前沿——临床 AI 试验前，先把共同设计做成安全门槛 香港一项研究说明，心理健康 AI 不应从模型演示开始，而应先确认真实需求、本地语言、隐私边界与临床协作方式。
AI Mental Health Frontier AI Mental Health Frontier — Co-Design Is the Pre-Trial Safety Gate A Hong Kong study shows why mental-health AI trials should begin with lived-experience needs, local language, privacy boundaries, and explicit adjunct-care constraints.
AI Mental Health Frontier AI 心理健康前沿——安全证据必须随生成式 AI 器械一起交付 FDA 对生成式 AI 心理健康医疗器械的讨论，把问题从模型表现推进到全生命周期的安全证据。
AI Mental Health Frontier AI Mental Health Frontier — The Safety Case Must Ship With the Device The FDA's generative-AI device discussion makes one point clear: mental-health safety must be demonstrated across the product lifecycle, not only at launch.
AI Mental Health Frontier AI 心理健康前沿——偏差审计必须进入临床工作流 一篇新的医疗 AI 偏差综述提醒心理健康产品团队：公平性不能停留在模型报告里，而要在真实工作流中验证。
AI Mental Health Frontier AI Mental Health Frontier — Bias Audits Must Become Workflow Tests A new scoping review maps bias in large AI models for healthcare and points mental-health builders toward subgroup, context, and human-review tests.
AI Mental Health Frontier AI Mental Health Frontier — Safe Evaluation Starts With the Comparator and the Context Two new studies sharpen the same design lesson: mental-health AI needs comparator-specific outcome tests and adversarial context tests before deployment.
AI Mental Health Frontier AI 心理健康前沿——生成式 AI 医疗器械，安全必须贯穿全生命周期 FDA 对生成式 AI 心理健康器械的最新讨论，把问题从模型会不会说话，推进到产品能否持续验证、监测并完成安全交接。
AI Mental Health Frontier AI Mental Health Frontier — FDA's GenAI Device Debate Turns Safety Into a Lifecycle Requirement The FDA's 2026 discussion on generative-AI mental-health devices points builders toward lifecycle evidence, bounded claims, and human escalation—not chatbot novelty.
AI Mental Health Frontier AI Mental Health Frontier — Clinicians Need to Ask How Patients Use AI The new AWARE framework turns patients' chatbot use into a clinical conversation about motivation, attachment, reality, risk, and functioning.
AI Mental Health Frontier AI 心理健康前沿——MentalHealthBench 把对话质量变成可测问题 MentalHealthBench 不再只问模型会不会拒绝危险请求，而是把心理健康对话中的情境理解、用户自主性与行动建议纳入评估。
AI Mental Health Frontier AI Mental Health Frontier — MentalHealthBench Makes Conversation Quality Measurable OpenAI's MentalHealthBench broadens mental-health AI evaluation beyond crisis refusal. The useful shift is turning expert judgment into testable, workflow-level behaviors.
AI Mental Health Frontier AI Mental Health Frontier — Psychoeducation Needs Evidence Boundaries A new cross-sectional analysis of AI-generated EMDR psychoeducation shows why mental-health products need evidence boundaries, source tracing, and clinician review.
AI Mental Health Frontier AI 心理健康前沿——多模态精神状态评估需要人的误差回路 一项新的多模态精神状态评估研究提醒开发者：真正需要产品化的不是一个总诊断分数，而是可供临床人员复核的分域误差回路。
AI Mental Health Frontier AI Mental Health Frontier — Multimodal Assessment Needs a Human Error Loop A new multimodal mental-status benchmark points to a practical design rule: AI assessment should expose domain-level errors for clinician review, not hide behind an overall diagnosis score.
AI Mental Health Frontier AI Mental Health Frontier — Psychiatric Intake Needs Clinician-Grounded QA A new preprint shows why AI-assisted psychiatric intake needs clinician-grounded quality assurance: better information recovery can coexist with unsupported inference and weak safety characterization.
AI Mental Health Frontier AI Mental Health Frontier — High-Risk Conversation Testing Needs Clinical Calibration K-Bench shifts mental-health AI evaluation from comforting replies to calibrated performance across evolving high-risk conversations.
AI Mental Health Frontier AI Mental Health Frontier — General Models Still Miss the Geriatric Context A blinded benchmark of three large language models shows why late-life depression needs geriatric-specific evaluation, calibrated triage, and human review.
AI Mental Health Frontier AI Mental Health Frontier — Safety Testing Must Follow the Conversation A clinically validated framework shows why mental-health chatbot evaluation must probe multi-turn behavior, not just single answers.
AI Mental Health Frontier AI 心理健康前沿——使用已经跑在治理之前 澳大利亚最新证据显示，心理健康行业已经日常使用通用 AI 处理文档，但复杂照护中的准确性、隐私与治理仍未跟上。
