A new AI model called AutMedAI can identify autism in young children with nearly 80% accuracy using routine medical and behavioural data. Developed by Swedish researchers, it analyses 28 factors and is most effective for children under two. The model is intended as an initial screening tool to enable earlier intervention, with further clinical testing planned.

**For healthcare and education sectors:** You can leverage AutMedAI to streamline autism screening processes, potentially reducing costs and improving early intervention rates. Consider integrating this AI model into your existing systems to enhance diagnostic capabilities. **For tech companies:** There's an opportunity to develop similar AI models for other medical conditions, opening new revenue streams. You might explore partnerships with healthcare providers to implement and refine these tools.

Expect increased demand for AI-driven diagnostic tools across various medical fields. You'll likely see a shift towards data-driven healthcare decisions, necessitating investments in data infrastructure and AI expertise. Prepare for potential regulatory changes as AI becomes more prevalent in medical diagnostics. Consider how you can position your organization to capitalize on or adapt to these trends, whether through strategic partnerships, in-house development, or reskilling initiatives.