Anton R. Kiselev

National Research Center for Preventive Medicine

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Total Citations

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About

Anton R. Kiselev is a leading researcher in the intersection of artificial intelligence, mental health, and physiological signal processing. His work focuses on developing AI-based methods and tools for diagnosing, treating, and rehabilitating mental conditions, with a particular emphasis on using heart rate variability and other biosignals to monitor psychological states. His most-cited paper, "Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation" (2024, 9 citations), provides a comprehensive synthesis of how machine learning and deep learning are transforming mental healthcare—from early detection to personalized intervention. Beyond this review, Kiselev has made significant contributions to understanding the autonomic nervous system’s role in mental health, often integrating wearable technology with predictive analytics. His research has been cited over 1,500 times, reflecting its influence on both clinical psychiatry and biomedical engineering. Notably, his work bridges the gap between computational models and real-world therapeutic applications, earning him recognition as a pioneer in digital psychiatry. For students and researchers, Kiselev’s career exemplifies how data-driven approaches can revolutionize mental health care, making it more accessible, objective, and effective.