COMMUNICATIONS MEDICINE
Increasing engagement with cognitive-behavioral therapy (CBT) using generative Al: a randomized controlled trial (RCT)
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be erro errors present which affect the content, and all legal disclaimers apply. If this paper is publishing under a Transparent Peer Review model then Peer Review reports will publish with the final article.
Executive Impact: Key Findings at a Glance
This RCT demonstrated that genAI-enabled therapy support has a significant and beneficial effect on increasing engagement with therapeutic exercises and materials. While the stand-alone genAI tool did not improve overall clinical outcomes compared to digital workbooks over six weeks, engagement with features providing clinical personalization was associated with stronger anxiety symptom reduction and enhanced overall wellbeing. Crucially, the use of this tool was safe when benchmarked against an active control.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Advanced ROI Calculator for AI Implementation
Estimate your potential return on investment by integrating similar GenAI solutions into your enterprise operations. Adjust parameters to see the impact.
Your AI Implementation Roadmap
A phased approach to integrating advanced AI into your business, inspired by best practices and research-backed methodologies.
Phase 1: Discovery & Strategy
Identify key pain points and opportunities for AI integration within your organization. Define clear objectives, KPIs, and a high-level roadmap. Engage stakeholders and assess current technological infrastructure.
Phase 2: Pilot & Proof-of-Concept
Develop and deploy a pilot AI solution in a controlled environment. Validate the technology's effectiveness, gather user feedback, and refine the solution based on initial results. Demonstrate tangible ROI for specific use cases.
Phase 3: Scaled Deployment & Integration
Expand the AI solution across relevant departments, ensuring seamless integration with existing systems. Develop comprehensive training programs for employees and establish robust monitoring and maintenance protocols.
Phase 4: Optimization & Future-Proofing
Continuously monitor AI performance, gather feedback, and iterate on the solution for ongoing optimization. Explore new AI advancements and expand capabilities to sustain long-term competitive advantage.
Ready to Transform Your Enterprise with AI?
Connect with our AI specialists to explore how these research-backed insights can be tailored to your specific business needs and drive measurable results.