Updated on 2021/10/26

写真a

 
FURUKAWA Taiki
 
Organization
Nagoya University Hospital Medical IT Center Designated assistant professor
Title
Designated assistant professor

Degree 1

  1. 博士(医学) ( 2021.3   名古屋大学 ) 

Research Areas 1

  1. Life Science / Respiratory medicine

Research History 1

  1. Nagoya University   Medical IT Center, Hospital   Designated assistant professor

    2021.4

Professional Memberships 4

  1. Japan Association for Medical Informatics

    2021.5

  2. The Japanese Society for Artificial Intelligence

    2021.4

  3. Japanese Respiratory Society

    2013.10

  4. Japanese Society of Allergology

 

Papers 6

  1. The prognostic value of the COPD Assessment Test in fibrotic interstitial lung disease. Reviewed International journal

    Toshiaki Matsuda, Yasuhiro Kondoh, Taiki Furukawa, Atsushi Suzuki, Reoto Takei, Hajime Sasano, Yasuhiko Yamano, Toshiki Yokoyama, Kensuke Kataoka, Tomoki Kimura

    Respiratory investigation     2021.9

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    Language:English   Publishing type:Research paper (scientific journal)  

    BACKGROUND: The COPD Assessment Test (CAT) has been studied as a measure of health status in idiopathic pulmonary fibrosis (IPF) and interstitial lung disease associated with connective tissue disease. However, its prognostic value is unknown. The present study explored the association between CAT score and mortality in fibrotic interstitial lung disease (FILD), including IPF and other forms of ILD. METHODS: We retrospectively analyzed 501 consecutive patients with FILD who underwent clinical assessment, including pulmonary function test and CAT. The association between CAT score and 3-year mortality was assessed using Cox proportional hazard analysis, Kaplan-Meier plots, and the log-rank test for trend. To handle missing data, the imputed method was used. RESULTS: The patients' median age was 68 years, and 320 were male (63.9%). Regarding CAT severity, 203 patients had a low impact level (score <10), 195 had a medium level (10-20), 80 had a high level (21-30), and 23 had a very high level (31-40). During the 3-year study period, 118 patients died. After adjusting for age, sex, forced vital capacity, diffusion capacity for carbon monoxide, IPF diagnosis, and usual interstitial pneumonia pattern on high-resolution computed tomography, the CAT score was significantly associated with 3-year mortality (hazard ratio in increments of 10 points: 1.458, 95% confidence interval 1.161-1.830; p < 0.001). In addition, patients with high and very high impact levels had twofold and threefold higher mortality risk than those with low levels, respectively. CONCLUSION: The CAT has prognostic value in FILD.

    DOI: 10.1016/j.resinv.2021.07.007

    Scopus

    PubMed

  2. The current issues and future perspective of artificial intelligence for developing new treatment strategy in non-small cell lung cancer: harmonization of molecular cancer biology and artificial intelligence. Reviewed International journal

    Ichidai Tanaka, Taiki Furukawa, Masahiro Morise

    Cancer cell international   Vol. 21 ( 1 ) page: 454 - 454   2021.8

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    Language:English   Publishing type:Research paper (scientific journal)  

    Comprehensive analysis of omics data, such as genome, transcriptome, proteome, metabolome, and interactome, is a crucial technique for elucidating the complex mechanism of cancer onset and progression. Recently, a variety of new findings have been reported based on multi-omics analysis in combination with various clinical information. However, integrated analysis of multi-omics data is extremely labor intensive, making the development of new analysis technology indispensable. Artificial intelligence (AI), which has been under development in recent years, is quickly becoming an effective approach to reduce the labor involved in analyzing large amounts of complex data and to obtain valuable information that is often overlooked in manual analysis and experiments. The use of AI, such as machine learning approaches and deep learning systems, allows for the efficient analysis of massive omics data combined with accurate clinical information and can lead to comprehensive predictive models that will be desirable for further developing individual treatment strategies of immunotherapy and molecular target therapy. Here, we aim to review the potential of AI in the integrated analysis of omics data and clinical information with a special focus on recent advances in the discovery of new biomarkers and the future direction of personalized medicine in non-small lung cancer.

    DOI: 10.1186/s12935-021-02165-7

    Web of Science

    Scopus

    PubMed

  3. Prognosis in Non-IPF with Progressive Fibrotic Phenotype Results in Similar Prognosis in IPF Reviewed International journal

    Ito T., Takei R., Sasano H., Yamano Y., Yokoyama T., Matsuda T., Kimura T., Furukawa T., Johkoh T., Fukuoka J., Kondoh Y.

    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE   Vol. 203 ( 9 )   2021.5

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    Language:Japanese   Publishing type:Research paper (international conference proceedings)  

    Web of Science

  4. Impact of post-capillary pulmonary hypertension on mortality in interstitial lung disease. Reviewed International journal

    Ryo Teramachi, Hiroyuki Taniguchi, Yasuhiro Kondoh, Tomoki Kimura, Kensuke Kataoka, Toshiki Yokoyama, Taiki Furukawa, Mitsuaki Yagi, Koji Sakamoto, Naozumi Hashimoto, Yoshinori Hasegawa

    Respiratory investigation   Vol. 59 ( 3 ) page: 342 - 349   2021.5

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    Language:English   Publishing type:Research paper (scientific journal)  

    BACKGROUND: Pulmonary hypertension (PH) influences mortality in patients with interstitial lung disease (ILD). Almost all studies on patients with ILD, have focused on the clinical impact of pre-capillary PH on survival. Therefore, little is known about the influence of post-capillary PH. We aimed to assess the prevalence of post-capillary PH and its clinical impact on survival in patients with ILD, followed by comparison with pre-capillary PH. METHODS: This retrospective study enrolled 1152 patients with ILD who were diagnosed with PH using right heart catheterization between May 2007 and December 2015. We analyzed the demographics and composite outcomes (defined as death from any cause or lung transplantation) of patients with post-capillary PH and compared them with patients with pre-capillary PH. RESULTS: Thirty-two (20%) of the 157 patients with ILD-PH were diagnosed with post-capillary PH. Patients with post-capillary PH had significantly lower modified Medical Research Council scores, higher diffusion capacity for carbon monoxide, higher resting PaO2, lower pulmonary vascular resistance (PVR), and higher lowest oxygen saturation during the 6-min walk test compared to those with pre-capillary PH. Cardiovascular diseases were associated with a higher risk of mortality in patients with post-capillary PH. Multivariate Cox proportional hazards analysis demonstrated no significant difference between the composite outcomes in pre-capillary and post-capillary PH, while PVR and the ILD Gender-Age-Physiology Index were significantly associated with the composite outcome. CONCLUSIONS: We found that approximately one-fifth of patients with ILD-PH were diagnosed with post-capillary PH, and that PVR and not post-capillary PH was associated with mortality.

    DOI: 10.1016/j.resinv.2020.12.010

    Web of Science

    Scopus

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  5. Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking. Reviewed International journal

    Keiko Yamashita, Shintaro Oyama, Tomohiro Otani, Satoshi Yamashita, Taiki Furukawa, Daisuke Kobayashi, Kikue Sato, Aki Sugano, Chiaki Funada, Kensaku Mori, Naoki Ishiguro, Yoshimune Shiratori

    Journal of the American Medical Informatics Association : JAMIA   Vol. 28 ( 3 ) page: 477 - 486   2021.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    PURPOSE: Location visualization is essential for locating people/objects, improving efficiency, and preventing accidents. In hospitals, Wi-Fi, Bluetooth low energy (BLE) Beacon, indoor messaging system, and similar methods have generally been used for tracking, with Wi-Fi and BLE being the most common. Recently, nurses are increasingly using mobile devices, such as smartphones and tablets, while shifting. The accuracy when using Wi-Fi or BLE may be affected by interference or multipath propagation. In this research, we evaluated the positioning accuracy of geomagnetic indoor positioning in hospitals. MATERIALS AND METHODS: We compared the position measurement accuracy of a geomagnetic method alone, Wi-Fi alone, BLE beacons alone, geomagnetic plus Wi-Fi, and geomagnetic plus BLE in a general inpatient ward, using a geomagnetic positioning algorithm by GiPStech. The existing Wi-Fi infrastructure was used, and 20 additional BLE beacons were installed. Our first experiment compared these methods' accuracy for 8 test routes, while the second experiment verified a combined geomagnetic/BLE beacon method using 3 routes based on actual daily activities. RESULTS: The experimental results demonstrated that the most accurate method was geomagnetic/BLE, followed by geomagnetic/Wi-Fi, and then geomagnetic alone. DISCUSSION: The geomagnetic method's positioning accuracy varied widely, but combining it with BLE beacons reduced the average position error to approximately 1.2 m, and the positioning accuracy could be improved further. We believe this could effectively target humans (patients) where errors of up to 3 m can generally be tolerated. CONCLUSION: In conjunction with BLE beacons, geomagnetic positioning could be sufficiently effective for many in-hospital localization tasks.

    DOI: 10.1093/jamia/ocaa204

    Web of Science

    Scopus

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  6. Serum mitochondrial DNA predicts the risk of acute exacerbation and progression of idiopathic pulmonary fibrosis. Reviewed International coauthorship International journal

    Koji Sakamoto, Taiki Furukawa, Yasuhiko Yamano, Kensuke Kataoka, Ryo Teramachi, Anjali Walia, Atsushi Suzuki, Masahide Inoue, Yoshio Nakahara, Changwan Ryu, Naozumi Hashimoto, Yasuhiro Kondoh

    The European respiratory journal   Vol. 57 ( 1 )   2021.1

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1183/13993003.01346-2020

    Web of Science

    Scopus

    PubMed

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Books 1

  1. 間質性肺炎のAI診断

    古川大記, 大山慎太郎( Role: Joint author)

    呼吸器ジャーナル  2021.8 

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    Language:Japanese Book type:Scholarly book

MISC 1

  1. 間質性肺疾患における肺高血圧予測モデルの構築 Reviewed

    佐藤 智則, 古川 大記, 寺町 涼, 山野 泰彦, 横山 俊樹, 松田 俊明, 片岡 健介, 木村 智樹, 近藤 康博

    日本呼吸器学会誌   Vol. 10 ( 増刊 ) page: 225 - 225   2021.4

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    Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)   Publisher:(一社)日本呼吸器学会  

Presentations 1

  1. Interstitial lung disease and BIG-DATA / AI Invited

    Taiki Furukawa

    The 61st Annual Meeting of The Japanese Respiratory Society  2021.4.24 

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    Event date: 2021.4

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

KAKENHI (Grants-in-Aid for Scientific Research) 4

  1. びまん性肺疾患の診断と予後予測における機械学習アルゴリズム構築に関する研究

    Grant number:19K17633  2019.4 - 2022.3

    日本学術振興会  科学研究費助成事業 若手研究  若手研究

    古川 大記

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\4290000 ( Direct Cost: \3300000 、 Indirect Cost:\990000 )

    びまん性肺疾患は一般の呼吸器科医には診断が困難な上に予後不良な群が含まれる一方、精度の高い診断を行える専門医が少ないため、人工知能(AI)による精度の高い診断システムと予後予測システムの開発、及び開発に必要な大規模なデータベースが望まれてきた。このため、びまん性肺疾患の臨床情報・画像データのデータベース構築と、精度の高いびまん性肺疾患診断・予後予測AI開発を行い、一般に利用できる形を検討する。
    びまん性肺疾患は一般の呼吸器科医には診断が困難なことが多い上に予後不良な群が含まれる一方,精度の高い診断を行える専門医が少ないため,人工知能(AI)による精度の高い診断システムと予後予測システムの開発,及び開発に必要な大規模なデータベースが望まれてきた.本研究の全体計画における目標は「びまん性肺疾患の臨床情報・画像データのデータベース構築と,精度の高いびまん性肺疾患診断・予後予測人工知能(AI)開発」である.具体的には(A)医療用データベースの構築,(B)臨床情報・画像データと医療知識のマッピング,(C)ディープラーニングを含めた機械学習による医療画像・臨床情報からの自動所見抽出,(D)びまん性肺疾患診断・予後予測人工知能(AI)を開発することである.
    本研究では当該年度に,全国のびまん性肺疾患専門病院からびまん性肺疾患の系統だった疾患データを蓄積してデータベースを構築した.さらに,収集したデータに対して医療知識の適切なマッピングを行った.加えて種々の前処理を行い,AI診断に適したデータ変換を行った.その後,開発済みの単施設データによるびまん性肺疾患AI診断システムのパラメーターを用いたディープラーニングのブラッシュアップと,ディープラーニングの結果と臨床情報を組み込んだ機械学習を用いて,びまん性肺疾患の診断予測を行うAIを構築した.作成された診断AIは,単施設データで作成された診断AIモデルと同等の精度を達成した.
    本研究は,当該年度に間質性肺炎の診断AI構築を目的とし,目的達成のために以下の2課題を遂行することを掲げてきた.
    1. びまん性肺疾患のデータベース構築, 2. 開発済みのびまん性肺疾患AI診断システムのブラッシュアップ
    R1年度には,全国のびまん性肺疾患専門病院からびまん性肺疾患の系統だった疾患データを蓄積してデータベースを構築した.また,開発済みのびまん性肺疾患AI診断システムのブラッシュアップする事で,汎化性能を高めた診断AI構築を達成した.これらの結果は一部国内外で発表予定をしていることから,当初の計画通り概ね順調に進展していると考える.
    本研究の解析によって,多施設データに対する適切な前処理方法,解析の高速化方法がわかっている.また,データベース構築時に高精度の予後情報の収集も行う事ができた.
    R2年度には,これまでの研究成果を国内外で積極的に発表するとともに,全ての結果をまとめたジャーナル投稿を予定している.また,予後情報に対して,胸部CT画像・臨床情報を用いてディープラーニングと機械学習を組み合わせ,精度の高い予後予測AIを構築する予定である.

  2. Immune-pathological diagnostic artificial intelligence development research for pulmonary fibrosis using fibrotic foci-specific enhanced micro-CT

    Grant number:20K21599  2020.7 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Research (Exploratory)  Grant-in-Aid for Challenging Research (Exploratory)

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  3. 特発性間質性肺炎の前向きレジストリの構築とインタラクティブMDD診断システムを用いた診断標準化に基づく疫学データの創出―人工知能(AI)診断システムと新規バイオマーカーの開発―

    2020.4 - 2022.3

    日本医療研究開発機構(AMED)  難治性疾患等実用化研究事業 

    須田 隆文, 井上 義一, 横田 秀夫, 宮崎 泰成, 近藤 康博, 古川 大記, 坂東 政司, 小倉 高志, 上甲 剛, 長谷川 好規, 白鳥 義宗, 福岡 順也, 本間 栄

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    Authorship:Coinvestigator(s) 

  4. Orality and Narrative Technique in Pain Clinic

    Grant number:19KT0027  2019.7 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

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    Authorship:Coinvestigator(s)  Grant type:Competitive