Professor Bin Hu’s Invited Talk on “Artificial Intelligence and Mental Health” Empowering the Laboratory to Forge New Directions on Precision Diagnosis and Treatment Research

On January 4, 2026, Professor Bin Hu, UAIS Laboratory was invited to deliver an academic talk themed Artificial Intelligence and Mental Health at the Institute of Brain Science and Brain-inspired Intelligence. Academician of the Chinese Academy of Sciences and President of Shandong First Medical University & Shandong Academy of Medical Sciences, Lin Lu, attended the event, hosted by Vice President Guangfu Yu of the institute. Relevant researchers from the laboratory, together with faculties and students of the institute, attended the report and conducted in-depth exchanges on cutting-edge topics.

In his report, based on UAIS Lab’s research foundation in computing Psychophysiology, Professor Bin Hu systematically explained the application value and development trends of artificial intelligence in mental health. He emphasized that digital diagnosis and treatment of mental disorders constitutes a vital direction for clinical application. Currently, this field is confronted with the bottleneck of lacking quantitative research methods for underlying mechanisms, and an urgent transformation toward a data-driven paradigm is required. He noted that quantitative and computational approaches hold the key to addressing the challenge of correlating psychological activities with physiological indicators. Drawing on the laboratory’s relevant research outcomes, Professor Bin Hu pointed out that with the evolution of computing power and sensor technologies, holographic research on cognitive activities has laid the technical groundwork for revealing the laws governing psychological activities. At present, the core breakthrough lies in achieving precision and personalization in feedback training. He called for leveraging the advantages of interdisciplinary integration to combine intelligent technologies with domain knowledge, thereby establishing an efficient psychological counseling system. This initiative is highly aligned with the laboratory’s development goal of building a core platform for theoretical research, technological development and talent cultivation in the field of intelligent assessment and intervention for brain health.