Essay
ADHD is a common disorder often diagnosed in childhood and continuing into
adulthood wherein the child has difficulty in paying attention, keeping on tasks
or staying organized. They also experience hyperactivity, such as often moving
around, feeling restless or talking excessively.
However, this AI driven innovation has the potential to transform psychological
and neurological research on ADHD (Attention deficiet/hyperactivity disorder) in
several ways :
1. Early detection and prevention - with the help of AI certain subtle abnormali-
ties can be identified even before the symptoms become obvious - they could
detect that the ADHD patients had FA values significantly elevated in nine
white matter tracts. Thus, early detection could prevent struggles and emo-
tional distress in children.
2. Improved personalization for treatments - AI helped track how different treat-
ments could affect brain structure over time - therefore a customised care
could be provided to each individuals.
3. From subjective to objective diagnosis - Traditional ADHD relied on self - re-
ported surveys that are often prone to biasness. The AI based MRI introduces
a more biological marker - making diagnosis more easy, accurate and less
stigmatized !
4. Giving ADHD a transformation - Earlier ADHD was seen as a “behavioural
problem” ; now it is recognized as neurodevelopmental condition leading to
empathy in how it’s approached.
5. Interventions of Avenues for Research - The discovery of white matter abnor-
malities could further encourage the study of neurological roots of ADHD and
some disorders such as autism, anxiety or depression connecting them.
Personally or for someone I know the innovation of AI in detecting ADHD could
have a meaningful impact. If someone in our family is struggling from restless-
ness, focus or experiences any such symptoms of ADHD this discovery could pro-
vide a clearer path of understanding. It reduces the uncertainty of questioning
oneselves behaviour by offer concrete brain based evidence. For parents, this
could ease the confusion or guilt of their child’s struggles in school or socially.
They’d have an access to diagnostic tool and better treatment options. And as
for students or professionals, earlier discovery could lead to accommodations or
strategies to improve performance and mental health to avoid further frustration
and mislabeling.
Moreover, this innovation could reduce the stigma of ADHD being called as a
moral failing and indentify it as a neurological condition that can be measured
and managed efficiently and with more sensibility.
References :
Radiological Society of North America. "AI may aid in diagnosing adolescents
with ADHD." ScienceDaily. ScienceDaily, 30 November 2023. <www.sciencedai-
ly.com/releases/2023/11/231129150117.htm>.
ADHD is a common disorder often diagnosed in childhood and continuing into
adulthood wherein the child has difficulty in paying attention, keeping on tasks
or staying organized. They also experience hyperactivity, such as often moving
around, feeling restless or talking excessively.
However, this AI driven innovation has the potential to transform psychological
and neurological research on ADHD (Attention deficiet/hyperactivity disorder) in
several ways :
1. Early detection and prevention - with the help of AI certain subtle abnormali-
ties can be identified even before the symptoms become obvious - they could
detect that the ADHD patients had FA values significantly elevated in nine
white matter tracts. Thus, early detection could prevent struggles and emo-
tional distress in children.
2. Improved personalization for treatments - AI helped track how different treat-
ments could affect brain structure over time - therefore a customised care
could be provided to each individuals.
3. From subjective to objective diagnosis - Traditional ADHD relied on self - re-
ported surveys that are often prone to biasness. The AI based MRI introduces
a more biological marker - making diagnosis more easy, accurate and less
stigmatized !
4. Giving ADHD a transformation - Earlier ADHD was seen as a “behavioural
problem” ; now it is recognized as neurodevelopmental condition leading to
empathy in how it’s approached.
5. Interventions of Avenues for Research - The discovery of white matter abnor-
malities could further encourage the study of neurological roots of ADHD and
some disorders such as autism, anxiety or depression connecting them.
Personally or for someone I know the innovation of AI in detecting ADHD could
have a meaningful impact. If someone in our family is struggling from restless-
ness, focus or experiences any such symptoms of ADHD this discovery could pro-
vide a clearer path of understanding. It reduces the uncertainty of questioning
oneselves behaviour by offer concrete brain based evidence. For parents, this
could ease the confusion or guilt of their child’s struggles in school or socially.
They’d have an access to diagnostic tool and better treatment options. And as
for students or professionals, earlier discovery could lead to accommodations or
strategies to improve performance and mental health to avoid further frustration
and mislabeling.
Moreover, this innovation could reduce the stigma of ADHD being called as a
moral failing and indentify it as a neurological condition that can be measured
and managed efficiently and with more sensibility.
References :
Radiological Society of North America. "AI may aid in diagnosing adolescents
with ADHD." ScienceDaily. ScienceDaily, 30 November 2023. <www.sciencedai-
ly.com/releases/2023/11/231129150117.htm>.
