Yuki Miyazaki

宮﨑 友希

Psychiatrist & Researcher — Applying deep learning and portable EEG to advance dementia diagnosis and brain monitoring.

PhD (Osaka Univ., 2026) MD (Osaka Univ., 2019) BEng (Univ. of Tokyo, 2013) Board-Certified Psychiatrist Designated Psychiatrist
ORCID: 0000-0003-4952-0886 Google Scholar: Profile researchmap: yukimiyazaki J-GLOBAL: 202401003861114451

Research Interests

Yuki Miyazaki's research centres on the development of noninvasive, accessible diagnostic tools for neurodegenerative diseases—particularly Alzheimer's disease (AD), dementia with Lewy bodies (DLB), and mild cognitive impairment (MCI). By combining portable (patch-type) electroencephalography with deep-learning and machine-learning algorithms, his work aims to replace or augment costly and invasive procedures such as cerebrospinal-fluid analysis and amyloid PET imaging with brief, bedside-friendly EEG recordings that can be interpreted automatically.

Key research themes include: (1) training deep convolutional neural networks and transformer-based models on resting-state EEG to classify dementia subtypes and severity across multiple clinical sites; (2) using EEG-derived phase–amplitude coupling features to infer amyloid pathology in patients with MCI; (3) predicting postoperative delirium after cardiovascular surgery from preoperative portable EEG oscillations; (4) screening for cerebrospinal-fluid Aβ and phosphorylated tau status via machine-learning analysis of portable EEG; and (5) evaluating large language model performance in medical education contexts.

His dual background in engineering (applied physics, University of Tokyo) and medicine (Osaka University) enables an interdisciplinary approach that bridges signal processing, computational neuroscience, and clinical psychiatry. He is currently funded by a JSPS KAKENHI Grant-in-Aid for Early-Career Scientists to explore sleep-stage architecture and gamma-band EEG activity in community-dwelling dementia patients using wearable EEG technology.

Career

2026.04 – Present
The University of Osaka — Graduate School of Medicine, Visiting Academic Staff
2025.10 – Present
Kosaka Hospital — Senior Psychiatrist (医長)
2021.04 – 2025.09
Osaka University Hospital — Dept. of Neuropsychiatry, Staff Physician
2020.04 – 2021.03
Osaka University Hospital — Junior Resident
2019.04 – 2020.03
Higashi-Osaka Medical Center — Junior Resident

Education

2022.04 – 2026.03
Osaka University — Graduate School of Medicine (PhD)
2014.09 – 2019.03
Osaka University — School of Medicine (MD)
2013.04 – 2014.08
The University of Tokyo — Graduate School of Engineering, Dept. of Applied Physics
2009.04 – 2013.03
The University of Tokyo — Faculty of Engineering, Dept. of Applied Physics (BEng)

Publications

18 articles (16 peer-reviewed + 1 preprint + 1 conference abstract). †Equal contribution. See also: ORCID · Google Scholar · researchmap

  1. Preoperative frontal EEG power spectral features associated with psychomotor subtypes of postoperative delirium in cardiovascular surgery: a prospective study
    C Nagata, M Hata, Y Miyazaki, R Miyoshi, M Futamura, T Wada, K Yoshida, S Miyagawa, M Ikeda, T Ueno
    Scientific Reports, Mar 2026
    Peer-reviewed
    DOI
  2. Comparison of EEG features between patients with and without reduced 123I-MIBG myocardial scintigraphy uptake: A 6-year retrospective study of 230 patients with suspected dementia
    H Omori, M Hata, K Shigenobu, S Takahashi, Y Miyazaki, M Eto, Y Nakagawa, A Hirashima, K Muto, K Shinosaki et al.
    International Psychogeriatrics, Feb 2026
    Peer-reviewed
    DOI
  3. EEG monitoring at home for sleep: A feasibility and usability study
    G Livingston, P Rapaport, T Sekitani, M Manela, A Sommerlad, T Nezu, R-C Yu, C Yu, Y Satake, T Araki, Y Miyazaki et al.
    The American Journal of Geriatric Psychiatry, Dec 2025
    Peer-reviewed
    DOI
  4. Inferring amyloid pathologies among patients with mild cognitive impairment using phase–amplitude coupling of electroencephalography: A case–control study
    Y Miyazaki, M Hata, S Takahashi, R Fukuma, D Taomoto, Y Satake, T Suehiro, H Kanemoto, K Yoshiyama, K Matsunaga et al.
    International Psychogeriatrics, Aug 2025
    First AuthorPeer-reviewed
    DOI
  5. Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device
    M Hata, T Yanagisawa, Y Miyazaki, H Omori, A Hirashima, Y Nakagawa, M Eto, K Yoshiyama, H Kanemoto, B Nyamradnaa et al.
    Scientific Reports 15(1): 26304, Jul 2025
    Peer-reviewed
    DOIPubMed
  6. Construction and validation of a machine learning model for early prediction of postoperative delirium after cardiovascular surgery using cardiopulmonary bypass
    C Nagata, H Masuda, R Miyoshi, M Hata, Y Miyazaki, M Ikeda, S Miyagawa, T Ueno
    89th Annual Scientific Meeting of the Japanese Circulation Society, CO5-3, Mar 2025
    Conference Abstract
  7. Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data
    M Hata†, Y Miyazaki†, K Mori, K Yoshiyama, S Akamine, H Kanemoto, S Gotoh, H Omori, A Hirashima, Y Satake et al.
    Scientific Reports 15(1): 2067, Jan 2025
    First Author (equal)Peer-reviewed
    DOIPubMed
  8. Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evaluation of Accuracy in Text-Only and Image-Based Questions
    Y Miyazaki, M Hata, H Omori, A Hirashima, Y Nakagawa, M Eto, S Takahashi, M Ikeda
    JMIR Medical Education 10: e63129, Dec 2024
    First AuthorCorrespondingPeer-reviewed
    DOIPubMed
  9. A case with temporal spikes on electroencephalography induced by over 80 sessions of electroconvulsive therapy
    H Omori, M Hata, M Kobayashi, Y Miyazaki, A Hirashima, S Takahashi, M Ikeda
    Psychiatry and Clinical Neurosciences Reports 3(3), Jul 2024
    Peer-reviewed
    DOI
  10. Hidden cases of epilepsy in cognitive impairment clinics: Exploring the use of a portable device for simplified electroencephalography testing
    M Hata, Y Satake, Y Miyazaki, H Omori, A Hirashima, H Kanemoto, K Yoshiyama, S Takahashi, M Ikeda
    Epilepsy & Behavior Reports 27: 100701, Jul 2024
    Peer-reviewed
    DOIPubMed
  11. Utilizing portable electroencephalography to screen for pathology of Alzheimer's disease: a methodological advancement in diagnosis of neurodegenerative diseases
    M Hata†, Y Miyazaki†, K Mori, K Yoshiyama, S Akamine, H Kanemoto, S Gotoh, H Omori, A Hirashima, Y Satake et al.
    Frontiers in Psychiatry 15: 1392158, May 2024
    First Author (equal)Peer-reviewed
    DOIPubMed
  12. A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study
    Y Watanabe, Y Miyazaki, M Hata, R Fukuma, Y Aoki, H Kazui, T Araki, D Taomoto, Y Satake, T Suehiro et al.
    Neural Networks 171: 242–250, Mar 2024
    First AuthorPeer-reviewed
    DOIPubMed
  13. Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms
    C Nagata, M Hata, Y Miyazaki, H Masuda, T Wada, T Kimura, M Fujii, Y Sakurai, Y Matsubara, K Yoshida et al.
    Scientific Reports 14(1), 2024
    Peer-reviewed
    DOI
  14. Predicting postoperative delirium after cardiovascular surgeries from preoperative portable electroencephalography oscillations
    M Hata†, Y Miyazaki†, C Nagata†, H Masuda, T Wada, S Takahashi, R Ishii, S Miyagawa, M Ikeda, T Ueno
    Frontiers in Psychiatry 14: 1287607, Nov 2023
    First Author (equal)Peer-reviewed
    DOIPubMed
  15. Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography
    M Hata, Y Watanabe, T Tanaka, K Awata, Y Miyazaki, R Fukuma, D Taomoto, Y Satake, T Suehiro, H Kanemoto et al.
    Neuropsychobiology 82(2): 81–90, Jan 2023
    Peer-reviewed
    DOI
  16. "Time-based" workplace smoking bans during working hours (including and excluding lunchtime) and combustible cigarette and heated tobacco product use: a cross-sectional analysis of the 2020 JASTIS study
    Y Miyazaki, T Tabuchi
    Preventive Medicine Reports 29: 101938, Oct 2022
    First AuthorPeer-reviewed
    DOI
  17. A Deep Learning Model for Detection of Dementia Diseases and Identification of Underlying Pathologies of Mild Cognitive Impairment Based on Resting-State Electroencephalography (preprint)
    Y Watanabe, Y Miyazaki, M Hata, R Fukuma, Y Aoki, H Kazui, T Araki, D Taomoto, Y Satake, T Suehiro et al.
    SSRN Electronic Journal, 2022
    First Author
    DOI (SSRN)
  18. Educational gradients in the use of electronic cigarettes and heat-not-burn tobacco products in Japan
    Y Miyazaki, T Tabuchi
    PLOS ONE 13(1): e0191008, Jan 2018
    First AuthorPeer-reviewed
    DOIPubMed

Selected Talks

Jul 2025
Mobile patch EEGs – Acceptability, barriers and facilitators of patch use in people with mild to moderate dementia
Alzheimer's Association International Conference (AAIC 2025), Toronto
Mar 2024 Invited
EEG analysis with AI
46th Fmθ Study Group
Oct 2023 Invited
Workplace tobacco policy – including heated tobacco products
Joint Meeting of Alcohol & Drug Dependence-Related Societies, Occupational Health Seminar
Apr 2018
A case of polycystic kidney disease with progressive refractory heart failure in old age, in which a PKD1 frameshift mutation was identified
Japanese Society of Internal Medicine Kotohajime 2018 Kyoto
Jun 2017
Educational gradients in the use of electronic cigarettes including heat-not-burn tobacco products in Japan
Society for Epidemiologic Research (SER 2017)

Grants & Funding

2026.04 – 2029.03
Exploring sleep stages and gamma-band EEG activity in community-dwelling dementia patients using wearable EEG
JSPS KAKENHI — Grant-in-Aid for Early-Career Scientists
2024.04 – 2026.03
Next-Generation Innovative Researcher Development Project
Japan Science and Technology Agency (JST)
2023.02 – 2024.02
Validation of deep-learning-based dementia identification from EEG data and its application to patch-type EEG devices
Igaku Shinko Ginnan-kai — Research Grant for Regional Medicine

Media Coverage

Aug 2025
The University of Osaka and University College London Present Collaborative Research at AAIC25 in Toronto
The University of Osaka (Web)
Sep 2022
Workplace smoking ban including lunch break found effective
Kyodo News and others
Jul 2022
The New Future with Nanomaterials
NHK WORLD (TV)
Jan 2022
Our Digital Medical Revolution 2022
NHK BS1 (TV)
Mar 2018
Heated tobacco use unrelated to education level – Osaka Univ. survey
Kyodo News and others