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For many families, an ADHD diagnosis feels like it arrives either too late or not at all. A child spends years labelled difficult, lazy, or inattentive. Teachers grow frustrated. Parents blame themselves. By the time a formal diagnosis lands, the child may already carry the scars of years of misunderstanding.

A new study from Duke University suggests that artificial intelligence could fundamentally change that timeline — not by performing a new kind of test or scan, but by reading the data that already exists in your child's ordinary medical records.

The findings, published in Nature Mental Health, describe an AI model that can flag children at elevated risk of ADHD diagnosis with striking accuracy — and can do so years before most children currently receive one.

But here's what the headlines tend to gloss over: researchers have been trying to crack this problem for two decades. And why this particular approach matters isn't just that it works — it's why all the previous attempts didn't.

Attention deficit hyperactivity disorder looks different in girls — and that difference has meant decades of missed diagnoses, late identifications, and unnecessary suffering. While the stereotypical ADHD image is a hyperactive, disruptive boy, girls with ADHD are far more likely to be quietly struggling: daydreaming at the back of the class, anxious, perfectionistic, and exhausted from the effort of keeping up. This guide, written by Consultant Psychologist Adeel Sarwar, explains the specific signs of ADHD in girls that parents, teachers, and clinicians most commonly overlook.

If you or your child has recently received an ADHD diagnosis, one of the first questions is usually: what treatment is actually available? In the UK, ADHD medication is often a core component of an evidence-based treatment plan — but understanding which medications exist, how they work, and how to access them through the NHS or privately can feel overwhelming. This guide, written by Consultant Psychologist Adeel Sarwar, walks you through everything you need to know about ADHD medication in the UK.

Artificial intelligence is reshaping what it means to have ADHD — from how the condition is diagnosed in a clinical setting to how a teenager navigates a chemistry assignment at 10pm. Two developments, one from a research laboratory and one from the kitchen tables of families worldwide, reveal just how rapidly the relationship between ADHD and AI is evolving, and why it matters to anyone living with the condition.

You opened Instagram to check one thing. Forty-five minutes later you have watched videos of strangers' kitchen renovations and have no memory of how you got there. If you have ADHD, this probably sounds familiar — not as an occasional lapse but as a reliable daily occurrence. The reason is not a failure of willpower. It is a near-perfect collision between how social media platforms are designed and how the ADHD brain works.

Many women reach their 40s feeling like their brain has suddenly stopped cooperating. They lose track of conversations mid-sentence, forget appointments they'd previously managed fine, and feel emotions they can barely name. For women with ADHD — diagnosed or not — perimenopause can be the moment everything stops working. The reason is hormonal, and understanding it is the first step to adapting.

Misophonia — a condition characterised by intense, automatic emotional and physiological reactions to specific sounds — is increasingly recognised by clinicians, yet formal diagnosis remains inconsistent and access to specialist assessment is limited. Online misophonia tests have become an important first step for the large number of people who suspect they have the condition but have never had it named or assessed. Understanding what these tools measure, how they compare to clinical instruments, and what to do with your results can help you navigate a pathway that is still emerging.

The number of adults seeking an ADHD assessment has grown sharply over the past few years, and online ADHD tests have become many people’s first point of contact with the diagnostic process. Understanding what these tools can reliably tell you — and where their limits are — is essential for anyone trying to make sense of their results and decide on next steps.