At Aisel, we're continuing the conversation on how AI can support psychiatric practice. This month's edition brings together fresh insights from Onsite AI Mental Health Summit, highlights from our recent webinar, and perspectives from new research publications.
In this issue, you'll find:
- Industry Developments: Latest news and events in digital psychiatry
- Invitation with Us: Join Aisel's founders and fellow clinicians at our upcoming Clinical Community dinners and open-door sessions to shape the future of AI in psychiatry
- Webinar Highlights: Catch up on the highlights from our latest live demo session
- Recent Reading: A featured article exploring the evolution of practical AI applications in psychiatry - and what's next for clinicians
Whether you're leading a clinic, shaping digital transformation, or simply curious about what's next for psychiatry, Clinical Co-Pilot is your monthly window into how AI and clinical expertise can work better together.
Industry News & Developments
Upcoming event (DK): Mental Health Innovation Day at Hospital for Psychiatry in Slagelse 30th of Oktober 2025 12.30–16.30. It's free to attend, but registration is needed. Register here.
Upcoming event (UK) - Academic psychiatry meets clinical psychiatry on 31st of October at this all day event. Register now.
New research from Pew found that 46% of Americans believe AI should play a role in providing mental health support to people. Read the full article
New recommendations: Psykiatrifonden published their report: 'Fra potentiale til praksis – Digitale tilbud for børn og unge med mentale helbredsproblemer og psykisk sygdom'.
Onsite's AI Mental Health Summit Webinar - Selected Insights
1. GPT Is Reshaping Patient Behaviour
- 60–100 million people use ChatGPT for mental health support
- Patients, especially younger ones, already "message chat" in distress
- This signals an urgent shift: patients expect 24/7, judgment-free, and instant access, even between sessions.
2. The Opportunity Lies in Clinical Augmentation, Not Automation
- AI tools that simply reduce admin time (by 10–15%) won't solve psychiatry's capacity crisis.
- Real value comes when AI supports psychiatrists' clinical reasoning - structuring complex histories, detecting patterns and maintaining continuity of care.
- AI should do the busy work so clinicians can do the real work - empathy, diagnosis, and treatment decisions.
3. Safe Clinical AI Must Protect Context and Trust
- When patients turn to GPT, data and clinical insight are lost - invisible to their treating psychiatrist.
- This misalignment weakens care quality and continuity.
- The future lies in AI co-pilots under clinician control, ensuring safety, context, and data integrity while preserving the human connection that defines psychiatry.
Watch the full 3 hour webinar here
Webinar Highlights: Aisel in Action
Our latest live demo webinar got interest from +70 mental health professionals. We explored how AI can support clinicians before the consultation begins and post-session documentation.
If you couldn't join us live, don't worry - you can catch up on everything you missed.
Featured Article: Practical AI Application in Psychiatry
In their latest Molecular Psychiatry review, Sun et al. examine the evolving role of AI in psychiatry - tracing how it's moved from theory into practical tools, while carefully weighing challenges around implementation, bias, and interpretability.
Below are the key insights you'll want to know as AI begins to integrate more into clinical workflows.
1) AI as a clinical co-pilot, not a replacement - Standalone diagnostic gains are modest; the real value is integrating multimodal data (text, imaging, genetics, behavior) to surface latent patterns and support clinician judgment - provided models are explainable and auditable.
2) Prognosis & treatment selection show promise - but demand rigor - Models can predict trajectories (e.g., transition to psychosis) and heterogeneous treatment effects, aiding drug/psychotherapy choice and side-effect risk. Generalization is a recurring weakness; longitudinal, local validation and XAI are essential.
3) Continuous, real-world monitoring can close care gaps - Smartphones, wearables, and chatbots enable early-warning detection and between-session support, improving access and engagement. Evidence is uneven across conditions, so privacy, bias control, and clinical triage pathways must be built in.
Interested in Exploring Aisel for Your Clinic?
AI in psychiatry is no longer a concept – it's here, working in clinics today. If you'd like to explore how Aisel could support your practice, book a personalised demo with our team. We'll show you exactly how the Clinical Co-Pilot saves time, improves documentation, and strengthens patient care.