Introduction: The emergence of artificial intelligence (AI) has triggered a
methodological revolution across all domains. In the context of healthcare, it
represents a valuable opportunity to promote the personalization of care, an
essential factor in improving treatment adherence and the prognosis of several
medical conditions. This technological advancement is extremely relevant to
patients suffering from chronic illnesses, who often require ongoing medical
attention and complex disease management over time.
It is important to note that chronic conditions are frequently associated with a
high comorbidity of mental health problems, including symptoms of depression,
anxiety, psychological distress, and reduced quality of life. It is imperative to
acknowledge the significance of these psychological components, which
frequently remain underrecognized and undertreated. Their direct influence on
treatment adherence and overall health outcomes is a relevant factor that must
be considered. Consequently, there is an increasing necessity to incorporate
psychological interventions as a fundamental element of comprehensive care
for chronic patients.
Objective:
To respond to this need, the development of machine learning systems-
particularly natural language processing models- is proposed, with the goal of
supporting both medical and psychological care. A multiplatform (app and web)
application will be developed as the user interface for this AI system, enabling
patients to interact easily and safely with a virtual assistant trained to provide
personalized guidance, reminders, symptom monitoring, and continuous
psychological and emotional support. The design of all the functions is intended
to complement and reinforce in-person care, serving as a digital companion
without replacing the essential human contact or direct clinical supervision.
Keywords: Artificial intelligence; Chronic disease; Healthcare; Psychological
interventions; Virtual assistant.