AI and rising suicide rates drive focus on mental health prevention

Artificial intelligence and predictive algorithms are emerging as tools in suicide prevention by identifying risk patterns through electronic health records, smartphone data, and monitoring systems. While technology cannot replace professional clinical evaluation, it aims to help healthcare providers prioritize interventions by estimating risk levels based on large datasets.

A study published in Scientific Reports analyzed over 14,000 patients in Madrid, Spain, who used web portals to complete mental health assessments—covering depression, anxiety, and self-harm—prior to psychiatric consultations. This data helps identify those requiring urgent care.

In Mexico, suicide rates are rising, with 8,709 deaths recorded in 2025, averaging nearly 24 deaths per day. The national rate reached 6.7 per 100,000 inhabitants, up from 5.1 in 2015. The highest risk group is young adults aged 15 to 29, for whom suicide is the third leading cause of death. Data shows a significant gender disparity, with men dying at a rate of 10.9 per 100,000 compared to 2.6 for women.