With the introduction of synthetic intelligence in lecture rooms and healthcare, researchers have been exploring whether or not it helps in figuring out ADHD at an earlier stage. However healthcare specialists have highlighted {that a} behavioural prognosis can’t be restricted to only an algorithm.
A toddler who continuously fidgets at school, finds it laborious to finish assignments and is unable to concentrate may be shortly labelled as distracted”, “undisciplined”, or just “not fascinated by research”. However the reason for these behaviours might be consideration deficit/hyperactivity dysfunction (ADHD), which is a neurodevelopmental situation that may hamper studying, relationships and day-to-day functioning.
In India, the early detection of ADHD continues to be a serious problem. A 2022 examine discovered that about 6.32% of youngsters in India have ADHD, though the speed varies throughout completely different research and settings. One other examine that concerned greater than 7,000 school-going college students in Kerala discovered clinically important self-reported ADHD signs in a proportion of scholars and linked them with poorer tutorial efficiency and psychological misery.
The problem isn’t just about figuring out the signs. ADHD doesn’t have a single diagnostic check. Conducting correct scientific assessments requires info from completely different settings and folks, together with dad and mom, lecturers and healthcare professionals, whereas additionally understanding the circumstances that may produce related signs.
That is the place synthetic intelligence comes into the image to draw consideration.
From classroom behaviour to mind indicators
Researchers have been exploring whether or not machine studying may be helpful for figuring out the patterns which can be related to ADHD in information that may be tough for people to interpret constantly. One space which has been receiving a variety of consideration is electroencephalography (EEG), which information electrical exercise within the mind.
A 2025 examine analysed using standard machine studying and deep studying for ADHD detection and remedy -response prediction with using scientific info and neuroimaging strategies like EEG, MRI and fNIRS. One other examine inspecting EEG and machine studying recognized 57 research that tried to categorise individuals with and with out ADHD utilizing EEG information.
The analysis has began to emerge from India. A current examine carried out at Navi Mumbai in 2025 highlights the significance of creating a framework that helps earlier identification.
The focus is sort of clear: AI can shortly analyse large chunks of knowledge and flag kids who would possibly want additional evaluation, doubtlessly enabling early detection. This may be fairly very important for India, the place entry to youngster psychiatrists, psychologists and developmental specialists stays uneven, significantly exterior main cities, making AI-assisted screening an rising software for addressing gaps in psychological healthcare.
However screening will not be prognosis
The key danger lies in complicated an AI-generated danger rating with a medical prognosis. Inattention can rise from improper sleep, anxiousness, despair, studying difficulties, language boundaries or different developmental and environmental elements. Whereas kids may additionally behave quite a bit in a different way at house and at college. Any evaluation subsequently wants to think about the kid’s broader context fairly than counting on a single behavioural sample.
AI techniques may carry out in a different way throughout populations if they’re educated on restricted or unrepresentative datasets. The variations in language, education, socioeconomic background and tradition are more likely to enhance the chance of false positives and would possibly make screening extra accessible whereas additionally creating misdiagnosis. An ADHD label can affect how lecturers and oldsters understand a toddler, and because the American Academy of Paediatrics notes, inappropriate prognosis can result in inappropriate labelling or trigger one other situation to be neglected.
The classroom may turn into an necessary first filter
Colleges don’t essentially must steer clear of AI however ought to use it as a screening help fairly than a full-fledged diagnostic software. Academics are normally the primary ones to note persistent challenges with consideration or impulsivity, and digital instruments will help in monitoring such patterns extra systematically earlier than suggesting skilled assist.
This distinction is extraordinarily essential with AI turning into part of Indian training, with CBSE introducing Synthetic Intelligence and Computational Pondering as obligatory parts from Lessons 3 to eight from 2026–27. Nevertheless, the larger use of AI additionally raises issues round consent, privateness and the storage of delicate behavioural information, significantly when the knowledge issues kids.
Human judgement nonetheless issues
Probably the most highly effective function of AI is neither in changing clinicians nor in making colleges into diagnostic centres. It may operate as an early-warning system.
A trainer would possibly be capable to discover a sample, and a digital screening software would possibly be capable to flag it. A healthcare skilled may then study the kid’s developmental historical past, behaviour throughout settings and potential various explanations earlier than reaching a conclusion.
The perfect mannequin would use AI for processing patterns and supporting large-scale screening whereas leaving interpretation, prognosis and medical duty to professionals. The primary query will not be if AI can diagnose ADHD higher than people, however whether or not it may possibly assist in detecting children who would possibly in any other case be missed with out turning regular variations in childhood behaviour into medical labels. For Indian colleges, this distinction may decide whether or not AI turns into a software for earlier assist or one other supply of misdiagnosis.
By Dr Ankit Desai, Paediatric Anaesthetist and Founder & Director, Youngsters’s Anaesthesia Companies.
The opinions expressed on this article are these of the creator and don’t purport to replicate the opinions or views of THE WEEK.
