Source: LRT

 
LRT reports on Lithuanian researchers’ efforts to leverage artificial intelligence (AI) for diagnosing depression, offering a faster and more accurate alternative to traditional methods. The AI system analyzes data from various sources, including facial expressions, speech patterns, and physiological signals, to identify signs of depression.

This innovation aims to address mental health challenges more effectively, particularly as the global prevalence of depression continues to rise. By using AI, medical professionals can detect symptoms early and provide timely interventions, potentially improving patient outcomes.

Researchers emphasize the importance of combining AI findings with clinical expertise, ensuring that automated diagnostics are accurate and reliable. However, challenges remain, including data privacy concerns, cultural biases in AI algorithms, and the need for extensive testing before widespread adoption.

The project reflects a growing trend of integrating AI into healthcare, particularly in areas like mental health where traditional diagnostic methods can be time-consuming or subjective. Lithuania’s initiative positions the country as a leader in AI-driven mental health solutions, with potential applications beyond its borders.