koyama hajime 小山一

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Koyama Hajime 小山一

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Researcher Number	80825167
Other IDs
Affiliation (Current)	2025: 東京大学, 医学部附属病院, 助教
Affiliation (based on the past Project Information) *help	2021 – 2024: 東京大学, 医学部附属病院, 助教 2019 – 2020: 東京大学, 医学部附属病院, 特任臨床医
Review Section/Research Field	Principal Investigator Basic Section 56050:Otorhinolaryngology-related Except Principal Investigator Medium-sized Section 56:Surgery related to the biological and sensory functions and related fields
Keywords	Principal Investigator 中耳 / 鼓室形成術 / 機械学習 / 人工知能 / 難聴 / 術後成績予測 / 画像解析 / 耳科手術 / 耳科学 Except Principal Investigator 画像解析 … More / 音声分析 / 乳幼児聴覚検査 / 音声認識 / 画像認識 / AI / 乳幼児聴力検査 Less

人工知能を用いた、術後聴力予測システムの開発と予後因子の探索Principal Investigator
- Principal Investigator
  
  小山一
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 56050:Otorhinolaryngology-related
- Research Institution
  The University of Tokyo
Development of hearing screening system for infants using AI technology
- Principal Investigator
  
  樫尾明憲
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 56:Surgery related to the biological and sensory functions and related fields
- Research Institution
  The University of Tokyo
The development of postoperative hearing prediction system and the analysis of temporal bone imaging by artificial intelligencePrincipal Investigator
- Principal Investigator
  
  Koyama Hajime
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 56050:Otorhinolaryngology-related
- Research Institution
  The University of Tokyo

All 2023 2022 2021 2019 Other

All Journal Article Presentation Other

[Journal Article] Hearing and Hearing Loss Progression in Patients with GJB2 Gene Mutations: A Long-Term Follow-Up2023
- Author(s)
  Sakata Aki、Kashio Akinori、Koyama Misaki、Urata Shinji、Koyama Hajime、Yamasoba Tatsuya
- Journal Title
  
  International Journal of Molecular Sciences
  
  Volume: 24 Issue: 23 Pages: 16763-16763
- DOI
  10.3390/ijms242316763
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19578, KAKENHI-PROJECT-22K16925
[Journal Article] A study of backgrounds of 128 children who received cochlear implants after the age of 4 years2022
- Author(s)
  水本結、樫尾明憲、尾形エリカ、赤松裕介、小山一、浦中司、山岨達也
- Journal Title
  
  Pediatric Otorhinolaryngology Japan
  
  Volume: 43 Issue: 3 Pages: 305-312
- DOI
  10.11374/shonijibi.43.305
- ISSN
  0919-5858, 2186-5957
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K19578
[Journal Article] Application of Machine Learning to Predict Hearing Outcomes of Tympanoplasty2022
- Author(s)
  Koyama Hajime、Kashio Akinori、Uranaka Tsukasa、Matsumoto Yu、Yamasoba Tatsuya
- Journal Title
  
  The Laryngoscope
  
  Volume: 無 Issue: 9 Pages: 2371-2378
- DOI
  10.1002/lary.30457
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K19578, KAKENHI-PROJECT-18K09315, KAKENHI-PROJECT-19K18787
[Journal Article] Machine learning technique reveals prognostic factors of Vibrant Soundbridge for conductive or mixed hearing loss patients.2021
- Author(s)
  Hajime Koyama, Anjin Mori, Daisuke Nagatomi, Takeshi Fujita, Kazuya Saito, Yasuhiro Osaki, Tatsuya Yamasoba, Katsumi Doi.
- Journal Title
  
  Otology and neurotology
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K18787
[Journal Article] Alteration of vestibular function in pediatric cochlear implant recipients2021
- Author(s)
  Hajime Koyama, Akinori Kashio, Chisato Fujimoto, Tsukasa Uranaka, Yu Matsumoto, Teru Kamogashira, Makoto Kinoshita, Shinichi Iwasaki, Tatsuya Yamasoba
- Journal Title
  
  Frontiers in Neurology, section Neuro-Otology
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] APPLICATION OF MACHINE LEARNING TO PREDICT HEARING OUTCOMES OF TYMPANOPLASTY2023
- Author(s)
  Hajime Koyama, Akinori Kashio, Tsukasa Uranaka, MD, Yu Matsumoto, MD, PhD, and Tatsuya Yamasoba
- Organizer
  International Federation of Otophinolaryngological Societies
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] ディープラーニングを用いた,側頭骨CTにおける解析対象の同定2023
- Author(s)
  小山一、樫尾明憲
- Organizer
  第33回日本耳科学会総会・学術講演会
- Data Source
  KAKENHI-PROJECT-22K19578
[Presentation] 人工知能を用いた、人工内耳術後前庭障害の予測2022
- Author(s)
  小山　一、樫尾明憲、藤本千里、浦中司、木下淳、鴨頭輝、山岨達也
- Organizer
  日本耳鼻咽喉科学会
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] 機械学習を用いた,小児人工内耳術後の初回および6ヵ月後マッピング条件予測2022
- Author(s)
  小山一, 樫尾明憲, 尾形エリカ, 赤松裕介, 浦中司, 浦田真次, 佐原利人, 山岨達也
- Organizer
  第31回　日本耳科学会総会・学術講演会
- Data Source
  KAKENHI-PROJECT-22K19578
[Presentation] 機械学習を用いた、小児人工内耳術後の初回および６ヶ月後マッピング条件予測2022
- Author(s)
  小山　一、樫尾明憲、尾形エリカ、赤松裕介、浦中　司、浦田真次、佐原利人、山岨達也
- Organizer
  日本耳科学会
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] 人工知能を用いた、人工内耳術後前庭障害の予測2022
- Author(s)
  小山一, 樫尾明憲, 藤本千里, 浦中司, 木下淳, 鴨頭輝, 山岨達也
- Organizer
  日本耳鼻咽喉科頭頚部外科学会総会
- Data Source
  KAKENHI-PROJECT-22K19578
[Presentation] 人工内耳埋込術による術前後の前庭機能変化2021
- Author(s)
  小山　一
- Organizer
  日本耳鼻咽喉科学会
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] Machine learning technique reveals prognostic factors of Vibrant Soundbridge for conductive or mixed hearing loss patients2021
- Author(s)
  小山　一
- Organizer
  APSCI
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] 機械学習を用いた、慢性中耳炎に対する鼓室形成術術後聴力予測システムの開発2021
- Author(s)
  小山　一
- Organizer
  日本耳科学会
- Data Source
  KAKENHI-PROJECT-19K18787
[Presentation] 人工知能を用いた術後聴力予測システムの開発2019
- Author(s)
  小山　一
- Organizer
  第29回日本耳科学会学術総会
- Data Source
  KAKENHI-PROJECT-19K18787
[]

1. 樫尾明憲 (20451809)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results
2. 赤松裕介 (00794869)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 尾形エリカ (20794853)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
4. 西村信一 (30938973)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 浦中司 (60828705)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
6. 馬場信太郎 (90553719)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

koyama hajime 小山 一

Koyama Hajime 小山 一

Research Projects

Research Products

Co-Researchers

人工知能を用いた、術後聴力予測システムの開発と予後因子の探索Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of hearing screening system for infants using AI technology

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

The development of postoperative hearing prediction system and the analysis of temporal bone imaging by artificial intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Hearing and Hearing Loss Progression in Patients with GJB2 Gene Mutations: A Long-Term Follow-Up2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A study of backgrounds of 128 children who received cochlear implants after the age of 4 years2022

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Application of Machine Learning to Predict Hearing Outcomes of Tympanoplasty2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Machine learning technique reveals prognostic factors of Vibrant Soundbridge for conductive or mixed hearing loss patients.2021

Author(s)

Journal Title

Data Source

[Journal Article] Alteration of vestibular function in pediatric cochlear implant recipients2021

Author(s)

Journal Title

Data Source

[Presentation] APPLICATION OF MACHINE LEARNING TO PREDICT HEARING OUTCOMES OF TYMPANOPLASTY2023

Author(s)

Organizer

Data Source

[Presentation] ディープラーニングを用いた,側頭骨CTにおける解析対象の同定2023

Author(s)

Organizer

Data Source

[Presentation] 人工知能を用いた、人工内耳術後前庭障害の予測2022

Author(s)

Organizer

Data Source

[Presentation] 機械学習を用いた,小児人工内耳術後の初回および6ヵ月後マッピング条件予測2022

Author(s)

Organizer

Data Source

[Presentation] 機械学習を用いた、小児人工内耳術後の初回および６ヶ月後マッピング条件予測2022

Author(s)

Organizer

Data Source

[Presentation] 人工知能を用いた、人工内耳術後前庭障害の予測2022

Author(s)

Organizer

Data Source

[Presentation] 人工内耳埋込術による術前後の前庭機能変化2021

Author(s)

Organizer

Data Source

[Presentation] Machine learning technique reveals prognostic factors of Vibrant Soundbridge for conductive or mixed hearing loss patients2021

Author(s)

Organizer

Data Source

koyama hajime 小山一

Koyama Hajime 小山一