Implication for dementia care practice utilizing tele-medicine and machine learning

Yoko Eguchi, Kazunari Yoshida, Taishiro Kishimoto

Department of Neuropsychiatry, Keio University School of Medicine

As society ages, there is an increase in issues such as the uneven distribution of specialists, low patient mobility, and higher caregiver burdens. In order to address these issues and facilitate appropriate and prompt treatment for seniors with cognitive decline, telemedicine and machine learning appear to present promising solutions. In this manuscript, we will discuss current topics surrounding dementia treatment using telemedicine and machine learning, and introduce two studies we conducted on this subject:Japanese Initiative for Diagnosis and Treatment Evaluation Research in Telepsychiatry （J-INTEREST） and Project for Objective Measures Using Computational Psychiatry Technology （PROMPT）.

Address correspondence to Dr. Taishiro Kishimoto, Department of Neuropsychiatry, Keio University School of Medicine （35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan）