Early detection of dementia at the primary care level remains a persistent challenge, particularly in Latin America, where a substantial proportion of cases remain undiagnosed [1]. Diagnosis frequently occurs at advanced stages, when clinical symptoms are clearly manifested and patients are referred to specialist services [2]. In this context, the development of early diagnostic technologies represents a valuable resource for primary care clinicians, enhancing the detection of subtle and early indicators of dementia.

Methodology:

Conclusions

• Technological tools showed potential for assessing different dimensions of dementia-related decline.
• Technology-driven approaches can support the early identification of cognitive impairment.
• A multi-phase framework was established to enable pre-diagnostic dementia assessment through validated data acquisition and analytical methods.