Recent scientific advances have enabled an artificial intelligence system to identify Attention
Deficit Hyperactivity Disorder (ADHD) in young people by analyzing the brain’s communication
pathways. In this context, the development of medical AI applications represents significant
progress in the healthcare field, although it also opens space for environmental and ethical
debates.
The main advantage of this progress is that adolescents will no longer suffer from late
diagnoses. What previously went unnoticed in conventional examinations can now be
identified and treated with greater precision. According to the World Health Organization
(WHO), early diagnosis of mental disorders significantly improves patients’ quality of life. In this
sense, the use of artificial intelligence in ADHD detection may contribute to faster and more
effective treatments. Furthermore, discovering ADHD improves self-awareness, reduces guilt
related to past difficulties, and enables the development of strategies to organize daily
routines, increasing individuals’ quality of life as well as their social and academic performance.
However, the participation of artificial intelligence in the workplace requires strict control. The
automation of routine and cognitively predictable tasks may lead to the replacement of
professionals, unintentionally contributing to unemployment. Furthermore, the training and
operation of large-scale models consume high levels of energy, contributing to greenhouse gas
emissions.
Therefore, although this new method offers greater speed and efficiency in medical diagnoses,
it becomes essential to create guidelines that limit the use of the tool to an auxiliary role
without completely replacing human performance. Moreover, the migration of data centers to
renewable energy sources such as solar and wind power can significantly reduce carbon
emissions. In this way, it will be possible to use artificial intelligence in an ethical, responsible,
and beneficial manner for society.
Deficit Hyperactivity Disorder (ADHD) in young people by analyzing the brain’s communication
pathways. In this context, the development of medical AI applications represents significant
progress in the healthcare field, although it also opens space for environmental and ethical
debates.
The main advantage of this progress is that adolescents will no longer suffer from late
diagnoses. What previously went unnoticed in conventional examinations can now be
identified and treated with greater precision. According to the World Health Organization
(WHO), early diagnosis of mental disorders significantly improves patients’ quality of life. In this
sense, the use of artificial intelligence in ADHD detection may contribute to faster and more
effective treatments. Furthermore, discovering ADHD improves self-awareness, reduces guilt
related to past difficulties, and enables the development of strategies to organize daily
routines, increasing individuals’ quality of life as well as their social and academic performance.
However, the participation of artificial intelligence in the workplace requires strict control. The
automation of routine and cognitively predictable tasks may lead to the replacement of
professionals, unintentionally contributing to unemployment. Furthermore, the training and
operation of large-scale models consume high levels of energy, contributing to greenhouse gas
emissions.
Therefore, although this new method offers greater speed and efficiency in medical diagnoses,
it becomes essential to create guidelines that limit the use of the tool to an auxiliary role
without completely replacing human performance. Moreover, the migration of data centers to
renewable energy sources such as solar and wind power can significantly reduce carbon
emissions. In this way, it will be possible to use artificial intelligence in an ethical, responsible,
and beneficial manner for society.
