KISHIMOTO Taishiro

写真a

Affiliation

School of Medicine, Center for the Promotion of Interdisciplinary Research in Medicine and Life Science (Shinanomachi)

Position

Professor

Related Websites
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Profile Summary 【 Display / hide 】

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Career 【 Display / hide 】

  • 2000.05
    -
    2001.03

    慶應義塾大学医学部, 精神神経科学教室, 研修医

  • 2001.04
    -
    2003.06

    国家公務員共済組合連合会　立川病院, 神経科

  • 2003.07
    -
    2004.03

    医療法人財団厚生協会　大泉病院

  • 2004.04
    -
    2009.11

    医療法人財団厚生協会　大泉病院, 副医長

  • 2009.04
    -
    2009.11

    医療法人財団厚生協会　大泉病院, 医長

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Academic Background 【 Display / hide 】

  • 1992.04

    The University of Tokyo, 理科 II 類

    University, Other

  • 1994.04
    -
    2000.03

    慶應義塾大学, 医学部

    University, Graduated

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Academic Degrees 【 Display / hide 】

  • 博士（医学）, 慶應義塾大学, Coursework, 2009.02

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Licenses and Qualifications 【 Display / hide 】

  • 医師免許, 2000.05

  • 精神保健指定医, 2005.12

  • 日本精神神経科学会　専門医, 2008.04

  • 日本英語検定　１級, 2014.07

  • 臨床精神神経薬理学　専門医, 2016.11

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Books 【 Display / hide 】

  • 熱意を理性でドライブせよ

    千葉大学医学部附属病院次世代医療構想センター, 吉村 健佑, 松本 晴樹, 近藤 克則 , 野口 晴子 , 小谷 和彦, 松本 俊彦 , 石井 洋介, 小笠原 定久, 山口 育子 , 鋪野 紀好, 津野 香奈美, 近藤 尚己, 川上 英良, 稲葉 可奈子, 岸本 泰士郎, 加藤 浩晃, 佐々木 淳 , ロギカ書房, 2025

  • Information technology and electronic health record to improve behavioral health services

    Hilty D., Naslund J.A., Ahuja S., Torous J., Kishimoto T., Crawford A., Mental Health in a Digital World, 2021.01

    　View Summary

    We continue to increase our exchange of information through health technologies, used to access, disseminate, and analyze information. Clinical informatics is a rapidly expanding area and facilitates patient-centered care as defined by quality, affordability, and timely health care. This chapter covers developments in information systems, electronic health records, electronic communications with patients and staff (e.g., alerts, texts), behavioral health indicators and related digital advances to improve practice and research. The reader can learn how to set goals toward quality outcomes and be efficient while remaining patient-centered using technology, and adapt to technological components and processes used by systems. By grasping how systems are designed and tailored to collect data, clinicians can use technology to inform decisions and facilitate outcomes. Setting priorities involves input from all care participants, as well as technological competencies for the clinician and institutional/organizational. Patient, clinician, and institutional competencies for skills, attitudes, and behaviors can align clinical care, training, and research missions and stimulate quality improvement.

  • Large-Scale Dialog Corpus Towards Automatic Mental Disease Diagnosis

    Sakishita M., Kishimoto T., Takinami A., Eguchi Y., Kano Y., Studies in Computational Intelligence, 2020

    　View Summary

    Recently, the number of people who are diagnosed as mental diseases is increasing. Efficient and objective diagnosis is important to start medical treatments in earlier stages. However, mental disease diagnosis is difficult to quantify criteria, because it is performed through conversations with patients, not by physical surveys. We aim to automate mental disease diagnosis in order to resolve these issues. We recorded conversations between psychologists and subjects to build our diagnosis speech corpus. Our subjects include healthy persons, people with mental diseases of depression, bipolar disorder, schizophrenia, anxiety and dementia. All of our subjects are diagnosed by doctors of psychiatry. Then we made accurate transcription manually, adding utterance time stamps, linguistic and non-linguistic annotations. Using our corpus, we performed feature analysis to find characteristics for each disease. We also tried automatic mental disease diagnosis by machine learning, while the number of sample data is few because we were still in our pilot study phase. We will increase the number of subjects in future.

  • Autism Spectrum Disorder’s Severity Prediction Model Using Utterance Features for Automatic Diagnosis Support

    Sakishita M., Ogawa C., Tsuchiya K.J., Iwabuchi T., Kishimoto T., Kano Y., Studies in Computational Intelligence, 2020

    　View Summary

    Diagnoses of autism spectrum disorder (ASD) are difficult due to difference of interviewers and environments, etc. We show relations between utterance features and ASD severity scores, which were manually given by clinical psychologists. These scores are based on the Autism Diagnostic Observation Schedule (ADOS), which is the standard metrics for symptom evaluation for subjects who are suspected as ASD. We built our original corpus where we transcribed voice records of our ADOS evaluation experiment movies. Our corpus is the world largest as speech/dialog of ASD subjects, and there has been no such ADOS corpus available in Japanese language as far as we know. We investigated relationships between ADOS scores (severity) and our utterance features, automatically estimated their scores using support vector regression (SVR). Our average estimation errors were around error rates that human ADOS experts are required not to exceed. Because our detailed analysis for each part of the ADOS test (“puzzle toy assembly + story telling” part and the “depiction of a picture” part) shows different error rates, effectiveness of our features would depend on the contents of the records. Our entire results suggest a new automatic way to assist humans’ diagnosis, which could help supporting language rehabilitation for individuals with ASD in future.

  • エッセンシャル金融ジェロントロジー

    駒村 康平 編, 岸本 泰士郎,中村 陽一, 江口 洋子 著, 慶應義塾大学出版会, 2019.10

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Papers 【 Display / hide 】

  • Factors Contributing to the Efficacy of Fecal Microbiota Transplantation for Diarrhea-Dominant Functional Bowel Disorders.

    Yamane T, Masaoka T, Ishii C, Masuoka H, Suda W, Kurokawa S, Kishimoto T, Mikami Y, Fukuda S, Kanai T

    Digestion    1 - 11 2025.04

    ISSN  0012-2823

  • Collaborative Outcomes Study on Health and Functioning During Infection Times (COH-FIT): Global and Risk-Group Stratified Course of Well-Being and Mental Health During the COVID-19 Pandemic in Adolescents

    Solmi M., Thompson T., Cortese S., Estradé A., Agorastos A., Radua J., Dragioti E., Vancampfort D., Thygesen L.C., Aschauer H., Schlögelhofer M., Aschauer E., Schneeberger A.A., Huber C.G., Hasler G., Conus P., Do Cuénod K.Q., von Känel R., Arrondo G., Fusar-Poli P., Gorwood P., Llorca P.M., Krebs M.O., Scanferla E., Kishimoto T., Rabbani G., Skonieczna-Żydecka K., Brambilla P., Favaro A., Takamiya A., Zoccante L., Colizzi M., Bourgin J., Kamiński K., Moghadasin M., Seedat S., Matthews E., Wells J., Vassilopoulou E., Gadelha A., Su K.P., Kwon J.S., Kim M., Lee T.Y., Papsuev O., Manková D., Boscutti A., Gerunda C., Saccon D., Righi E., Monaco F., Croatto G., Cereda G., Demurtas J., Brondino N., Veronese N., Enrico P., Politi P., Ciappolino V., Pfennig A., Bechdolf A., Meyer-Lindenberg A., Kahl K.G., Domschke K., Bauer M., Koutsouleris N., Winter S., Borgwardt S., Bitter I., Balazs J., Czobor P., Unoka Z., Mavridis D., Tsamakis K., Bozikas V.P., Tunvirachaisakul C., Maes M., Rungnirundorn T., Supasitthumrong T., Haque A., Brunoni A.R., Costardi C.G., Schuch F.B., Polanczyk G., Luiz J.M., Fonseca L., Aparicio L.V., Valvassori S.S., Nordentoft M., Vendsborg P., Hoffmann S.H., Sehli J., Sartorius N., Heuss S., Guinart D., Hamilton J., Kane J., Rubio J., Sand M., Koyanagi A.

    Journal of the American Academy of Child and Adolescent Psychiatry 64 ( 4 ) 499 - 519 2025.04

    ISSN  08908567

    　View Summary

    Objective: To identify the COVID-19 pandemic impact on well-being/mental health, coping strategies, and risk factors in adolescents worldwide. Method: This study was based on an anonymous online multi-national/multi-language survey in the general population (representative/weighted non-representative samples, 14-17 years of age), measuring change in well-being (World Health Organization–Five Well-Being Index [WHO-5]/range = 0-100) and psychopathology (validated composite P-score/range = 0-100), WHO-5 <50 and <29, pre- vs during COVID-19 pandemic (April 26, 2020-June 26, 2022). Coping strategies and 9 a priori– defined individual/cumulative risk factors were measured. A χ2, penalized cubic splines, linear regression, and correlation analyses were conducted. Results: Analyzing 8,115 of 8,762 initiated surveys (representative = 75.1%), the pre-pandemic WHO-5 and P-score remained stable during the study (excluding relevant recall bias/drift), but worsened during the pandemic by 5.55 ± 17.13 (SD) and 6.74 ± 16.06 points, respectively (effect size d = 0.27 and d = 0.28). The proportion of adolescents with WHO-5 scores suggesting depression screening (<50) and major depression (<29) increased from 9% to 17% and 2% to 6%. WHO-5 worsened (descending magnitude, with cumulative effect) in adolescents with a mental or physical disorder, female gender, and with school closure. Results were similar for the P-score, with the exception of school closure (not significant) and living in a low-income country, as well as not living in a large city (significant). Changes were significantly but minimally related to COVID-19 deaths/restrictions, returning to near–pre-pandemic values after >2 years. The 3 most subjectively effective coping strategies were Internet use, exercise/walking, and social contacts. Conclusion: Overall, well-being/mental health worsened (small effect sizes) during the early stages of the COVID-19 pandemic, especially in vulnerable subpopulations. Identified at-risk groups, association with pandemic-related measures, and coping strategies can inform individual behaviors and global public health strategies. Plain language summary: The impact of COVID-19 and related restrictions on the mental health of children and adolescents remains unclear. This study conducted an anonymous online survey with over 8,100 adolescents aged 14 to 17 years worldwide. Results showed a significant decline in wellbeing, with depression rates increasing from 9% to 17% returning to near- pre-pandemic values after about 2 years. Adolescents with preexisting mental health conditions, female youth, and those affected by school closures were particularly vulnerable. Effective coping strategies included internet use, exercise, and social contacts, highlighting areas for public health focus to support youth during pandemics. Study preregistration information: Physical and mental health impact of COVID-19 on children, adolescents, and their families: The Collaborative Outcomes study on Health and Functioning during Infection Times - Children and Adolescents (COH-FIT-C&A); https://doi.org/10.1016/j.jad.2021.09.090 Diversity & Inclusion Statement: We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. We actively worked to promote sex and gender balance in our author group. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science.

  • Electrodermal activity and skin temperature characteristics related to stress and depression: A 4-week observational study of office workers

    Ishikawa Y., Sugio T., Shiga K., Izumi K., Minato K., Kitazawa M., Hanashiro S., Takemura R., Uchida H., Kishimoto T.

    Journal of Affective Disorders Reports 20 2025.04

    　View Summary

    Background: Mental health problems, particularly depression, significantly impact the working-age population and incur substantial socioeconomic costs. Electrodermal activity (EDA) and skin temperature, measurable through wearable devices, have emerged as potential biomarkers of depression. However, there is a lack of long-term observational studies in real-world settings. Methods: This 4-week observational study analyzed data from 147 office workers across 11 Japanese companies. Participants wore wearable devices during working hours for four weeks to collect EDA and skin temperature data. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9), and stress was assessed using the 10-item version of the Perceived Stress Scale (PSS-10). The associations between electrodermal activity, skin temperature, and depressive/stress states were analyzed using the Mann–Whitney U test and logistic regression analysis. Results: Participants with PHQ-9 scores ≥5 showed higher median skin conductance and median tonic signal, although these differences lost statistical significance after Bonferroni correction. Logistic regression analysis revealed a negative correlation between age and both PHQ-9 and PSS-10 scores (OR=0.525, 0.646). The mean and standard deviation of skin temperature showed a positive association with depressive symptoms (OR=1.687, 1.733), while normalized EDASymp showed a negative association (OR=0.564). Conclusions: This study suggests that EDA and skin temperature, measured by wearable devices, may be associated with depressive symptoms among office workers. These physiological indicators could be utilized for mental health monitoring and early intervention in the workplace. Further validation with larger samples, and long-term follow-up studies, are warranted.

  • 特集 精神疾患診療へのデジタルツールの活用 精神疾患患者に対する非薬物療法におけるデジタルツールの開発の流れと展望

    古川 渉太, 木下 翔太郎, 岸本 泰士郎

    精神医学 (株式会社医学書院)  67 ( 1 ) 5 - 11 2025.01

    ISSN  04881281

  • Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses

    Solmi M., Thompson T., Cortese S., Estradé A., Agorastos A., Radua J., Dragioti E., Vancampfort D., Thygesen L.C., Aschauer H., Schlögelhofer M., Aschauer E., Schneeberger A., Huber C.G., Hasler G., Conus P., Cuénod K.Q.D., von Känel R., Arrondo G., Fusar-Poli P., Gorwood P., Llorca P.M., Krebs M.O., Scanferla E., Kishimoto T., Rabbani G., Skonieczna-Żydecka K., Brambilla P., Favaro A., Takamiya A., Zoccante L., Colizzi M., Bourgin J., Kamiński K., Moghadasin M., Seedat S., Matthews E., Wells J., Vassilopoulou E., Gadelha A., Su K.P., Kwon J.S., Kim M., Lee T.Y., Papsuev O., Manková D., Boscutti A., Gerunda C., Saccon D., Righi E., Monaco F., Croatto G., Cereda G., Demurtas J., Brondino N., Veronese N., Enrico P., Politi P., Ciappolino V., Pfennig A., Bechdolf A., Meyer-Lindenberg A., Kahl K.G., Domschke K., Bauer M., Koutsouleris N., Winter S., Borgwardt S., Bitter I., Balazs J., Czobor P., Unoka Z., Mavridis D., Tsamakis K., Bozikas V.P., Tunvirachaisakul C., Maes M., Rungnirundorn T., Supasitthumrong T., Haque A., Brunoni A.R., Costardi C.G., Schuch F.B., Polanczyk G., Luiz J.M., Fonseca L., Aparicio L.V., Valvassori S.S., Nordentoft M., Vendsborg P., Hoffmann S.H., Sehli J., Sartorius N., Heuss S., Guinart D., Hamilton J., Kane J., Rubio J., Sand M., Koyanagi A.

    European Neuropsychopharmacology 90   1 - 15 2025.01

    ISSN  0924977X

    　View Summary

    There is no multi-country/multi-language study testing a-priori multivariable associations between non-modifiable/modifiable factors and validated wellbeing/multidimensional mental health outcomes before/during the COVID-19 pandemic. Moreover, studies during COVID-19 pandemic generally do not report on representative/weighted non-probability samples. The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is a multi-country/multi-language survey conducting multivariable/LASSO-regularized regression models and network analyses to identify modifiable/non-modifiable factors associated with wellbeing (WHO-5)/composite psychopathology (P-score) change. It enrolled general population-representative/weighted-non-probability samples (26/04/2020-19/06/2022). Participants included 121,066 adults (age=42±15.9 years, females=64 %, representative sample=29 %) WHO-5/P-score worsened (SMD=0.53/SMD=0.74), especially initially during the pandemic. We identified 15 modifiable/nine non-modifiable risk and 13 modifiable/three non-modifiable protective factors for WHO-5, 16 modifiable/11 non-modifiable risk and 10 modifiable/six non-modifiable protective factors for P-score. The 12 shared risk/protective factors with highest centrality (network-analysis) were, for non-modifiable factors, country income, ethnicity, age, gender, education, mental disorder history, COVID-19-related restrictions, urbanicity, physical disorder history, household room numbers and green space, and socioeconomic status. For modifiable factors, we identified medications, learning, internet, pet-ownership, working and religion as coping strategies, plus pre-pandemic levels of stress, fear, TV, social media or reading time, and COVID-19 information. In multivariable models, for WHO-5, additional non-modifiable factors with |B|>1 were income loss, COVID-19 deaths. For modifiable factors we identified pre-pandemic levels of social functioning, hobbies, frustration and loneliness, and social interactions as coping strategy. For P-scores, additional non-modifiable/modifiable factors were income loss, pre-pandemic infection fear, and social interactions as coping strategy. COH-FIT identified vulnerable sub-populations and actionable individual/environmental factors to protect well-being/mental health during crisis times. Results inform public health policies, and clinical practice.

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Papers, etc., Registered in KOARA 【 Display / hide 】

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Reviews, Commentaries, etc. 【 Display / hide 】

  • 【デジタル時代の精神保健と精神医療】精神科オンライン診療の有効性と普及に向けた課題

    木下 翔太郎, 岸本 泰士郎

    最新精神医学 ((株)世論時報社)  30 ( 2 ) 83 - 88 2025.03

    ISSN  1342-4300

  • 【精神薬理学における自律神経機能の役割】ウェアラブルデバイスを用いた自律神経機能と活動度の測定に基づくメンタルヘルス評価

    古関 恵太, 堀江 遼顕, 石川 祐希, 木下 翔太郎, 岸本 泰士郎

    臨床精神薬理 ((株)星和書店)  28 ( 2 ) 189 - 196 2025.02

    ISSN  1343-3474

    　View Summary

    ウェアラブルデバイスを精神疾患の診断・予測に利用する研究が近年数多く行われている。ウェアラブルデバイスのセンサーによって測定された心拍変動や皮膚電気活動,加速度を基にした自律神経機能および活動度の評価はうつ病,双極症,不安症,神経発達症など多様な疾患において有効性が示されている。ウェアラブルデバイスからのデータと人工知能(artificial intelligence:AI)技術を組み合わせることで従来の医療面接や自己報告に依存した診断方法を補完し,精神疾患の早期発見や遠隔モニタリングが可能となり,精密治療に繋がることが期待される。今後の研究と技術の進展によりウェアラブルデバイスはメンタルヘルスケアの新たなスタンダードとなる可能性がある。(著者抄録)

  • 【精神疾患診療へのデジタルツールの活用】精神疾患患者に対する非薬物療法におけるデジタルツールの開発の流れと展望

    古川 渉太, 木下 翔太郎, 岸本 泰士郎

    精神医学 ((株)医学書院)  67 ( 1 ) 5 - 11 2025.01

    ISSN  0488-1281

    　View Summary

    ＜文献概要＞精神疾患治療において薬物療法は中心的な役割を果たしているが,治療抵抗性の患者や副作用による忍容性などが課題となっている。近年,非薬物療法が注目され,特にAI技術やウェアラブルデバイスなどのデジタルツールを活用した個別化医療の研究が盛んになっている。これらのデジタルツールは,患者のリアルタイムなモニタリングや症状の予測を可能とすること,日常生活のデータを基に精神疾患の微細な症状変化を捉えられることから,予防医療の文脈においても活用が期待されている。しかし,デジタルツールの普及には倫理的・法的・社会的な課題も伴い,データのプライバシー保護やデジタル格差への対応が重要視されている。今後は技術の進展とともにこれらの課題に取り組み,精神科医療のさらなる発展が期待される。

  • 精神科診療とAI

    石川 祐希, 木下 翔太郎, 岸本 泰士郎

    皮膚科 ((有)科学評論社)  7 ( 1 ) 49 - 53 2025.01

    ISSN  2436-570X

  • Japan's Telepsychiatry Dissemination: Current Status and Challenges

    Kinoshita S., Kishimoto T.

    Journal of Medical Internet Research 27   e22849 2025

    ISSN  1438-8871

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Presentations 【 Display / hide 】

  • AI時代の精神科医療の展望

    岸本泰士郎

    第1回日本外来精神医学会学術総会, 

    2024.09
    , 

    Oral presentation (invited, special)

  • 精神科領域におけるICTやAI活用の試み.

    岸本泰士郎

    医用画像情報学会　第185回大会, 

    2024.09
    , 

    Oral presentation (invited, special)

  • 情報通信技術やAIを活用した精神科医療の展望

    岸本泰士郎

    第27回多文化間精神医学会学術総会, 

    2024.09
    , 

    Oral presentation (invited, special)

  • Quantifying the Invisible: Developing a software as a medical device (SaMD) for psychiatric disorders.

    TAISHIRO KISHIMOTO

    0th International Conference in Vietnam on the Developing of Biomedical Engineering, (KOBE) , 

    2024.07
    , 

    Oral presentation (invited, special)

  • AI時代の精神科医療の展望

    岸本泰士郎

    第21回日本うつ病学会総, 

    2024.07
    , 

    Oral presentation (invited, special)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 障害者政策総合研究事業「地域医療に根差して行われるオンライン診療のための医師向け手引書の策定」

    2024
    -
    Present

    厚生労働科学研究費, Principal investigator

  • 令和5年度 予防・健康づくりの社会実装に向けた研究開発基盤整備事業（エビデンス構築促進事業）「将来の認知機能予測に基づくテーラーメイド行動変容プログラム開発」

    2023
    -
    Present

    日本医療研究開発機構（AMED）, Commissioned ｒesearch, Coinvestigator(s)

  • 戦略的イノベーション創造プログラム 包摂的コミュニティプラットフォームの構築「AIホスピタルによる高度診断・治療システム」SIP事業「高齢者が生涯にわたって自立的に経済活動ができる包摂的な社会経済システム構築」

    2023
    -
    Present

    医薬基盤・健康・栄養研究所（NIBIOHN）, Coinvestigator(s)

  • 研究開発とSociety5.0との橋渡しプログラム（BRIDGE）SIP事業「未来型医療システムの基盤となるAIホスピタルモデルの構築」

    2023

    医薬基盤・健康・栄養研究所（NIBIOHN）, Coinvestigator(s)

  • SNS・新聞記事・議会議事録を用いたAIによる世論形成過程と政治家の応答性の分析

    2022.04
    -
    2027.03

    Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Coinvestigator(s)

    　View Summary

    世論が政治家の言動や政治的出来事に対して合理的に反応しているかを検証することは、現代民主主義においてアカウンタビリティが確保されているかをチェックする上で重要な課題である。本研究では、SNSデータ（引用された新聞記事を含む）と国会議事録（文字・映像）を対象に、機械学習による精細な話し言葉解析器と心理状態分析器・嘘検出器を用いて、これら情報の受信・発信者の状態とその変化をミクロで推測する。さらにマクロな集団としての我が国の世論形成過程、政府・政治家と世論の関係を時系列モデルで分析し、可視化する。具体的なテーマとしては対外国人意識を重点的に扱う。
    世論が政治家の言動や政治的出来事に対して合理的に反応しているかを検証することは、現代民主主義においてアカウンタビリティが確保されているかをチェックする上で重要な課題である。本研究では、SNSデータ（引用された新聞記事を含む）と国会議事録（文字・映像）を対象に、機械学習による精細な話し言葉解析器と心理状態分析器・嘘検出器を用いて、これら情報の受信・発信者の状態とその変化をミクロで推測する。さらにマクロな集団としての我が国の世論形成過程、政府・政治家と世論の関係を時系列モデルで分析し、可視化する。具体的なテーマとしては対外国人意識を重点的に扱う。
    初年度にあたる本年度は、クラウドソーシングによる大規模ウェブ調査、嘘検出器作成のためのコーパス設計、SNS投稿の影響推測、含意関係認識に取り組んだ。クラウドソーシングによる大規模ウェブ調査では、これまでになかったユーザの属性を表す多面的な質問と、政治的な意識を紐づけられるよう設計した。SNS投稿の影響推測では、テキスト自体がどの程度その影響度を決定するかを定量的に推測できた。
    初年度にあたる本年度は、クラウドソーシングによる大規模ウェブ調査、嘘検出器作成のためのコーパス設計、SNS投稿の影響推測、含意関係認識に取り組んだ。クラウドソーシングによる大規模ウェブ調査では、これまでになかったユーザの属性を表す多面的な質問と、政治的な意識を紐づけられるよう設計した。SNS投稿の影響推測では、テキスト自体がどの程度その影響度を決定するかを定量的に推測できた。
    aクラウドソーシングによる大規模ウェブ調査を続行しその規模を増大させる。また、調査結果の分析と利用を進める。
    LLM（大規模言語モデル）の性能向上をうけ、どこまで利用可能か、性能比較とシステムへの組み込みを検討する。

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Awards 【 Display / hide 】

  • 2019年度 慶應医学賞 ライジング・スター賞

    2020.01, 慶應義塾大学

  • Keio Techno Mall Lion Award（研究室として受賞）

    2017.12

  • 国際学会発表賞

    2014.06, 第110回日本精神神経科学会学術総会

  • 国際学会発表賞

    2014.06, 日本精神神経科学会

  • Japanese Society of Neuropsychopharmacology Excellent Presentation Award for CINP 2014

    2014.06, CINP 2014

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Courses Taught 【 Display / hide 】

  • LECTURE SERIES, PSYCHIATRY

    2025

  • BEHAVIORAL SCIENCE: SEMINAR

    2025

  • BEHAVIORAL SCIENCE: PRACTICE

    2025

  • BEHAVIORAL SCIENCE

    2025

  • ADVANCED BEHAVIORAL SCIENCE

    2025

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Academic Activities 【 Display / hide 】

  • 精神疾患の克服と障害支援にむけた研究推進の提言（日本精神神経学会、日本生物学的精神医学会、日本神経精神薬理学会、日本うつ病学会、日本統合失調症学会、他7学会、日本脳科学関連連合）策定委員

    2022.07
    -
    Present

  • 国立精神・神経医療研究センター臨床研究審査委員会技術専門員

    2022.04
    -
    2024.03

  • Schizophrenia Bulletin 編集委員

    2021
    -
    Present

  • JMA Journal 編集委員

    2021
    -
    Present

  • お酒の健康科学財団 競争的資金審査員

    2020
    -
    Present

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Memberships in Academic Societies 【 Display / hide 】

  • 日本産業衛生学会, 

    2024
    -
    Present

  • 人工知能学会 会員, 

    2022
    -
    Present

  • 日本メディカルAI学会, 

    2018
    -
    Present

  • 日本うつ病学会, 

    2016
    -
    Present

  • 日本総合病院精神医学会, 

    2015
    -
    Present

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Committee Experiences 【 Display / hide 】

  • 2023
    -
    Present

    脳科連産学連携諮問委員会WG4 , 日本脳科学関連学会連合

  • 2023
    -
    Present

    医療DXに関する委員会委員, 日本精神神経学会

  • 2022
    -
    Present

    ランスレーショナル・メディカル・サイエンス委員, 日本神経精神薬理学会

  • 2022
    -
    Present

    運営会議メンバー（評議員）, 日本遠隔医療学会

  • 2022
    -
    Present

    監事, 日本神経精神薬理学会

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