Kobayashi Naoya 小林直也

… Alternative Names

小林直也コバヤシナオヤ

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Researcher Number	50837036
Other IDs
Affiliation (Current)	2026: 東北大学, 大学病院, 助教
Affiliation (based on the past Project Information) *help	2024: 東北大学, 大学病院, 助教 2019 – 2020: 東北大学, 大学病院, 助教
Review Section/Research Field	Principal Investigator Basic Section 58060:Clinical nursing-related / Basic Section 55060:Emergency medicine-related
Keywords	Principal Investigator 人工知能 / 機械学習 / 集中治療 / ビッグデータ / バイタルサイン / 可視化 / 痛み / 時系列解析 / リアルタイム / 時系列データ / 予後予測 / 転帰予測 / 敗血症

Research Projects
(2 results)
Research Products
(6 results)

Development of a Pain Visualization System for Intensive Care Patients Using Artificial IntelligencePrincipal Investigator
- Principal Investigator
  
  小林直也
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 58060:Clinical nursing-related
- Research Institution
  Tohoku University
Development of an immediate outcome prediction system for intensive care patients: Big data time series analysis with artificial intelligencePrincipal Investigator
- Principal Investigator
  
  Kobayashi Naoya
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 55060:Emergency medicine-related
- Research Institution
  Tohoku University

All 2025 2021 2020 2019

All Journal Article Presentation

[Journal Article] Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study2021
- Author(s)
  Kobayashi Naoya、Shiga Takuya、Ikumi Saori、Watanabe Kazuki、Murakami Hitoshi、Yamauchi Masanori
- Journal Title
  
  Scientific Reports
  
  Volume: 11 Issue: 1
- DOI
  10.1038/s41598-021-84714-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K18343
[Journal Article] Age-related changes in factors associated with delayed extubation after general anesthesia: a retrospective study2020
- Author(s)
  Kobayashi Naoya、Wagatsuma Toshihiro、Shiga Takuya、Toyama Hiroaki、Ejima Yutaka、Yamauchi Masanori
- Journal Title
  
  JA Clinical Reports
  
  Volume: 6 Issue: 1
- DOI
  10.1186/s40981-020-00325-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K18343
[Journal Article] Arterial blood pressure correlates with 90-day mortality in sepsis patients2019
- Author(s)
  Kobayashi Naoya、Nakagawa Atsuhiro、Kudo Daisuke、Ishigaki Tsukasa、Ishizuka Haruya、Saito Kohji、Ejima Yutaka、Wagatsuma Toshihiro、Toyama Hiroaki、Kawaguchi Tomohiro、Niizuma Kuniyasu、Ando Kokichi、Kurotaki Kenji、Kumagai Michio、Kushimoto Shigeki、Tominaga Teiji、Yamauchi Masanori
- Journal Title
  
  Blood Pressure Monitoring
  
  Volume: 24 Issue: 5 Pages: 225-233
- DOI
  10.1097/mbp.0000000000000398
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K18343
[Presentation] バイタルサインデータのノイズ除去がAPACHE IIサブスコアに与える影響の評価2025
- Author(s)
  小林直也、他
- Organizer
  第52回日本集中治療医学会
- Data Source
  KAKENHI-PROJECT-24K20300
[Presentation] 心臓血管外科術後患者における疼痛評価漏れの実態ー疼痛可視化プログラムを用いた分析ー2025
- Author(s)
  佐々木康之輔、小林直也、他
- Organizer
  第52回日本集中治療医学会
- Data Source
  KAKENHI-PROJECT-24K20300
[Presentation] Arterial Blood Pressure Correlates with 90-Day Mortality in Sepsis Patients: A Retrospective Multicenter Derivation and Validation Study Using High-Frequency Continuous Data2019
- Author(s)
  Kobayashi Naoya
- Organizer
  The Kick-off Symposium of Advanced Graduate Program for Future Medicine and Health Car
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K18343

Kobayashi Naoya 小林 直也

小林 直也 コバヤシ ナオヤ

Research Projects

Research Products

Development of a Pain Visualization System for Intensive Care Patients Using Artificial IntelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of an immediate outcome prediction system for intensive care patients: Big data time series analysis with artificial intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Age-related changes in factors associated with delayed extubation after general anesthesia: a retrospective study2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Arterial blood pressure correlates with 90-day mortality in sepsis patients2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] バイタルサインデータのノイズ除去がAPACHE IIサブスコアに与える影響の評価2025

Author(s)

Organizer

Data Source

[Presentation] 心臓血管外科術後患者における疼痛評価漏れの実態ー疼痛可視化プログラムを用いた分析ー2025

Author(s)

Organizer

Data Source

[Presentation] Arterial Blood Pressure Correlates with 90-Day Mortality in Sepsis Patients: A Retrospective Multicenter Derivation and Validation Study Using High-Frequency Continuous Data2019

Author(s)

Organizer

Data Source

Kobayashi Naoya 小林直也

小林直也コバヤシナオヤ