研究者詳細 - 大山　慎太郎

論文 - 大山　慎太郎

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The providing multidisciplinary ILD diagnoses (PROMISE) study - study design of the national registry of Japan facilitating interactive online multidisciplinary discussion diagnosis. 国際誌

Kondoh Y, Furukawa T, Hozumi H, Suda T, Egashira R, Jokoh T, Fukuoka J, Kuwana M, Teramachi R, Fujisawa T, Hasegawa Y, Ogura T, Miyazaki Y, Oyama S, Teramukai S, Horiguchi G, Naito A, Inoue Y, Ichikado K, Bando M, Tomioka H, Nishioka Y, Chiba H, Ebina M, Nakanishi Y, Satoh K, Shiratori Y, Hashimoto N, Ishii M

BMC pulmonary medicine 24 巻 ( 1 ) 頁： 511 - 511 2024年10月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：BMC Pulmonary Medicine

Background: Multidisciplinary discussion (MDD), in which physicians, radiologists, and pathologists communicate and diagnose together, has been reported to improve diagnostic accuracy compared to diagnoses made solely by physicians. However, even among experts, diagnostic concordance of MDD is not always good, and some patients may not receive a specific diagnosis due to insufficient findings. A provisional diagnosis based on the ontology with a diagnostic confidence level has recently been proposed. Additionally, we developed an artificial intelligence model to differentiate idiopathic pulmonary fibrosis (IPF) from other chronic interstitial lung diseases (ILD)s, which needs validation in a broader population. Methods: This prospective nationwide ILD registry has recruited patients with newly diagnosed ILD at the referral respiratory hospitals in Japan and provides rapid MDD diagnoses and treatment recommendations through a central online MDD platform with a 3-year follow-up period. A modified diagnostic ontology is used. If no diagnosis reaches more than 50% certainty, the diagnosis is unclassifiable ILD. If multiple diseases are expected, the diagnosis with a high probability takes precedence. If the confidence levels for the top two possible diagnoses are equal, the diagnosis can be unclassifiable. The registry uses tentative diagnostic criteria for nonspecific interstitial pneumonia with organising pneumonia and smoking-related ILD not otherwise specified as possible new entities. Central MDD diagnosticians review the clinical data, test results, radiology images, and pathological specimens on a dedicated website and conduct MDD diagnoses using online meetings with a cloud-based reporting system. This study aims to (1) provide MDD diagnoses with treatment recommendations; (2) determine the overall ILD rates in Japan; (3) clarify the reasons for unclassifiable ILDs; (4) evaluate possible new disease entities; (5) identify progressive phenotypes and create a clinical prediction model; (6) measure the agreement rate between institutional and central diagnoses in ILD referral and non-referral centres; (7) identify key factors for each specific ILD diagnosis; and (8) create a new disease classification system based on treatment strategies, including the use of antifibrotic drugs. Discussion: This study will provide ILD frequencies, including new entities, using central MDD on dedicated online systems, and develop a machine learning model for ILD diagnosis and prognosis prediction. Trial registration: UMIN-CTR Clinical Trial Registry (UMIN000040678).

DOI： 10.1186/s12890-024-03232-1

Development and validation of machine learning models to predict postoperative infarction in moyamoya disease. 国際誌

Fuse Y, Ishii K, Kanamori F, Oyama S, Imaizumi T, Araki Y, Yokoyama K, Takasu S, Seki Y, Saito R

Journal of neurosurgery 141 巻 ( 4 ) 頁： 927 - 935 2024年10月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Journal of Neurosurgery

OBJECTIVE Cerebral infarction is a common complication in patients undergoing revascularization surgery for moyamoya disease (MMD). Although previous statistical evaluations have identified several risk factors for postoperative brain ischemia, the ability to predict its occurrence based on these limited predictors remains inadequately explored. This study aimed to assess the feasibility of machine learning algorithms for predicting cerebral infarction after revascularization surgery in patients with MMD. METHODS This retrospective study was conducted across two centers and harnessed data from 512 patients with MMD who had undergone revascularization surgery. The patient cohort was partitioned into internal and external datasets. Using perioperative clinical data from the internal cohort, three distinct machine learning algorithms—namely the support vector machine, random forest, and light gradient-boosting machine models—were trained and cross-validated to predict the occurrence of postoperative cerebral infarction. Predictive performance validity was subsequently assessed using an external dataset. Shapley additive explanations (SHAP) analysis was conducted to augment the prediction model’s transparency and to quantify the impact of each input variable on shaping both the aggregate and individual patient predictions. RESULTS In the cohort of 512 patients, 33 (6.4%) experienced postrevascularization cerebral infarction. The cross-validation outcomes revealed that, among the three models, the support vector machine model achieved the largest area under the receiver operating characteristic curve (ROC-AUC) at mean ± SD 0.785 ± 0.052. Notably, during external validation, the light gradient-boosting machine model exhibited the highest accuracy at 0.903 and the largest ROC-AUC at 0.710. The top-performing prediction model utilized five input variables: postoperative serum gamma-glutamyl transpeptidase value, positive posterior cerebral artery (PCA) involvement on preoperative MRA, infarction as the rationale for surgery, presence of an infarction scar on preoperative MRI, and preoperative modified Rankin Scale score. Furthermore, the SHAP analysis identified presence of PCA involvement, infarction as the rationale for surgery, and presence of an infarction scar on preoperative MRI as positive influences on postoperative cerebral infarction. CONCLUSIONS This study indicates the usefulness of employing machine learning techniques with routine perioperative data to predict the occurrence of cerebral infarction after revascularization procedures in patients with MMD.

DOI： 10.3171/2024.1.JNS232173

Development and Evaluation of a Comprehensive Machine Learning Tool Differentiating Idiopathic Pulmonary Fibrosis from Other Interstitial Lung Diseases in the Japanese nationwide registry (PROMISE study)

Furukawa, T; Kondoh, Y; Oyama, S; Yokota, H; Teramachi, R; Hozumi, H; Shiratori, Y; Hasegawa, Y; Suda, T; Ishii, M

EUROPEAN RESPIRATORY JOURNAL 64 巻 2024年9月

Environmental Geomarker to Assess Impact on Hospitalization. 査読有り国際誌

Sato K, Furukawa T, Kobayashi D, Oyama S, Shiratori Y

Studies in health technology and informatics 316 巻頁： 1574 - 1575 2024年8月

記述言語：英語掲載種別：論文集(書籍)内論文出版者・発行元：Studies in Health Technology and Informatics

By linking medical real-world data with geographic information, it is possible to evaluate the impact on hospitalization based on these characteristics, such as patient residence information and disease and medical information. In this study, environmental exposure to air pollutants was reported as a risk factor, and predictive models were used to examine factors affecting health. The importance of the characteristics appeared according to the disease, and overall, the patient profile at the time of admission, such as ADL, was shown to be high, but for respiratory diseases, the cumulative concentration of air pollutants NO2, SPM, and NOx for one year before the onset of admission was the top risk factor for long-term hospitalization, suggesting the influence of exposure due to environmental factors.

DOI： 10.3233/SHTI240720

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医療機器の位置稼働状態管理のためのモニタリングシステムの構築と実証利用統計を見査読有り

伊藤暢浩, 川北崇斗, 神谷寧々, 相木一輝, 藤井雄介, 加藤孝昭, 島孔介, 大山慎太郎, 大塚孝信

情報処理学会論文誌 65 巻 ( 5 ) 頁： 903 - 913 2024年5月

Artificial intelligence in a prediction model for postendoscopic retrograde cholangiopancreatography pancreatitis. 査読有り国際誌

Takahashi H, Ohno E, Furukawa T, Yamao K, Ishikawa T, Mizutani Y, Iida T, Shiratori Y, Oyama S, Koyama J, Mori K, Hayashi Y, Oda M, Suzuki T, Kawashima H

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society 36 巻 ( 4 ) 頁： 463 - 472 2024年4月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Digestive Endoscopy

Objectives: In this study we aimed to develop an artificial intelligence-based model for predicting postendoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP). Methods: We retrospectively reviewed ERCP patients at Nagoya University Hospital (NUH) and Toyota Memorial Hospital (TMH). We constructed two prediction models, a random forest (RF), one of the machine-learning algorithms, and a logistic regression (LR) model. First, we selected features of each model from 40 possible features. Then the models were trained and validated using three fold cross-validation in the NUH cohort and tested in the TMH cohort. The area under the receiver operating characteristic curve (AUROC) was used to assess model performance. Finally, using the output parameters of the RF model, we classified the patients into low-, medium-, and high-risk groups. Results: A total of 615 patients at NUH and 544 patients at TMH were enrolled. Ten features were selected for the RF model, including albumin, creatinine, biliary tract cancer, pancreatic cancer, bile duct stone, total procedure time, pancreatic duct injection, pancreatic guidewire-assisted technique without a pancreatic stent, intraductal ultrasonography, and bile duct biopsy. In the three fold cross-validation, the RF model showed better predictive ability than the LR model (AUROC 0.821 vs. 0.660). In the test, the RF model also showed better performance (AUROC 0.770 vs. 0.663, P = 0.002). Based on the RF model, we classified the patients according to the incidence of PEP (2.9%, 10.0%, and 23.9%). Conclusion: We developed an RF model. Machine-learning algorithms could be powerful tools to develop accurate prediction models.

DOI： 10.1111/den.14622

医療現場における実装されたDx

平田哲生, 大山慎太郎, 高尾洋之, 村岡修子

医療情報学 43 巻 ( 6 ) 頁： 243 - 245 2024年2月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本医療情報学会

<p>　昨今，医療のデジタル化が進んできており，実証から実装まで様々な取り組みがアナウンスされている．しかしながら，2004年にデジタルトランスフォーメーション（DX）を定義したストルターマン博士による「DXに至る3つのフェーズ」に鑑みると，現在の日本におけるデジタル医療は，第一フェーズであるデータ等をデジタル化する「デジタイゼーション」，次いで第二フェーズである業務プロセスをデジタル化する「デジタライゼーション」に留まり，継続的な実装による医療現場の運用の改革まで伴う第三フェーズの「デジタルトランスフォーメーション」にまで至っている取り組みは必ずしも多いわけではないと考えられる．本セッションでは，様々なデジタル技術のインプリメンテーションによる医療現場改革を本気で推進する現場の取り組みと，それら技術の導入効果や実績などを講演いただき，明日からの業務革新に役立てる知見を共有する場としたい．東京慈恵会医科大学の高尾氏には，医療現場のスマートフォン導入を通じ，勤怠管理や遠隔診療，情報連携を通じた医療業務・研究の支援を実現されており，その導入の注意点や今後の展開について，NTT東日本関東病院の村岡氏には，DX推進病棟の導入による看護の質の向上や働き方改革を実現されており，その知見を，最後に名大病院スマートホスピタル構想を推進する大山氏には，IoTを用いた臨床工学技士の業務支援・運用改革やAI人材育成拠点を通じたDX人材育成の取り組みについて共有いただく．</p><p></p>

DOI： 10.14948/jami.43.243

CiNii Research

Longitudinal Development of Cosmic Noise Absorption Based on Multipoint Observations at Subauroral Latitudes During Storm-Time Substorms on 25–28 August 2018

Kato Y., Shiokawa K., Tanaka Y., Ozaki M., Kadokura A., Oyama S.i., Oinats A., Connors M., Baishev D.

Journal of Geophysical Research: Space Physics 129 巻 ( 1 ) 2024年1月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Journal of Geophysical Research: Space Physics

Enhancements in electron density in the D-region ionosphere attributed to the precipitation of high-energy electrons, have previously been inferred from increases in cosmic radio noise absorption (CNA) using ground-based riometers. However, there have been few studies of CNA observations at multi-point stations distributed in longitudes. Thus, the spatio-temporal development of the global distribution of CNA is not well understood. In this study, we investigated the longitudinal extent of CNA using simultaneous riometer observations at six stations at subauroral latitudes in Canada, Alaska, Russia, and Iceland. These stations are located encircling the earth at ∼60° north magnetic latitudes. We have conducted simultaneous observations of CNA at these stations since October 2017. Here we focus on seven substorms during a geomagnetic storm 25–28 August 2018 and study the spatio-temporal development of the global distribution of CNA during these substorms. For all seven substorms, some stations observed CNA enhancements after the substorm onsets. In five cases, the CNA enhancements started around midnight and expanded eastward. The other two cases show westward and anti-sunward development of CNA. The eastward expansion of CNA indicates the eastward drift of high-energy electrons, which is the source of the CNA, due to gradient and curvature drift in the geomagnetic field. The westward expansion of CNA may correspond to westward expansion of the substorm injection region due to dawn-to-dusk electric fields. These results indicate that spatio-temporal development of CNA at subauroral latitudes corresponds to high energy electron drift in the inner magnetosphere.

DOI： 10.1029/2023JA031950

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今月の臨床 AIがもたらす産婦人科医療の変革総論 AIによる医療現場の発展と今後の展望

大山慎太郎

臨床婦人科産科 77 巻 ( 12 ) 頁： 1178 - 1183 2023年12月

Geomagnetic activity dependence and dawn-dusk asymmetry of thermospheric winds from 9-year measurements with a Fabry–Perot interferometer in Tromsø, Norway

Oyama S.i., Aikio A., Sakanoi T., Hosokawa K., Vanhamäki H., Cai L., Virtanen I., Pedersen M., Shiokawa K., Shinbori A., Nishitani N., Ogawa Y.

Earth, Planets and Space 75 巻 ( 1 ) 2023年12月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Earth, Planets and Space

Ion drag associated with the ionospheric plasma convection plays an important role in the high-latitude thermospheric dynamics, yet changes in the thermospheric wind with geomagnetic activity are not fully understood. We performed a statistical analysis of the thermospheric wind measurements with a Fabry–Perot interferometer (FPI; 630 nm wavelength) in Tromsø, Norway, in the winter months for 9 years. The measurements were sorted by a SuperMAG (SME) index, and a quiet-time wind pattern was defined as an hourly mean under SME ≤ 40 nT. The quiet-time wind pattern can be expected to be represented by a pressure gradient associated with the solar radiation and a geostrophic force balance. With an increase in the geomagnetic activity level, the thermospheric wind turned over from eastward to westward at dusk and increased the equatorward magnitude from midnight to dawn. Deviations from the quiet-time wind presented similar patterns in the direction with the ionospheric plasma convection but were larger in magnitude at dusk than at dawn. This is the first study to report a dawn-dusk asymmetry of the thermospheric wind acceleration feature and signatures of the eastward wind acceleration at dawn by ion drag. Graphical Abstract: [Figure not available: see fulltext.].

DOI： 10.1186/s40623-023-01829-0

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Nationwide All ILD registry with central MDD in Japan; Providing Multidisciplinary ILD diagnoses (PROMISE) study.

Furukawa, T; Kondoh, Y; Oyama, S; Teramachi, R; Hozumi, H; Suda, T; Fujisawa, T; Egashira, R; Johkoh, T; Fukuoka, J; Kataoka, K; Kitamura, H; Nishiyama, O; Okamoto, M; Koshimizu, N; Ishikawa, N; Okamori, S; Miyazaki, Y; Bando, M; Inoue, Y; Ogura, T; Kuwana, M; Tomioka, H; Nishioka, Y; Chiba, H; Ebina, M; Ichikado, K; Nakanishi, Y; Hashimoto, N; Shiratori, Y; Hasegawa, Y; Ishii, M

EUROPEAN RESPIRATORY JOURNAL 62 巻 2023年9月

A Ground-Based Instrument Suite for Integrated High-Time Resolution Measurements of Pulsating Aurora With Arase

Hosokawa K., Oyama S.I., Ogawa Y., Miyoshi Y., Kurita S., Teramoto M., Nozawa S., Kawabata T., Kawamura Y., Tanaka Y.M., Miyaoka H., Kataoka R., Shiokawa K., Brändström U., Turunen E., Raita T., Johnsen M.G., Hall C., Hampton D., Ebihara Y., Kasahara Y., Matsuda S., Shinohara I., Fujii R.

Journal of Geophysical Research: Space Physics 128 巻 ( 8 ) 2023年8月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Journal of Geophysical Research: Space Physics

A specialized ground-based system has been developed for simultaneous observations of pulsating aurora (PsA) and related magnetospheric phenomena with the Arase satellite. The instrument suite is composed of (a) six 100 Hz sampling high-speed all-sky imagers (ASIs), (b) two 10 Hz sampling monochromatic ASIs observing 427.8 and 844.6 nm auroral emissions, (c) a 20 Hz sampling fluxgate magnetometer. The 100 Hz ASIs were deployed in four stations in Scandinavia and two stations in Alaska, which have been used for capturing the main pulsations and quasi 3 Hz internal modulations of PsA at the same time. The 10 Hz sampling monochromatic ASIs have been operative in Tromsø, Norway with the 20 Hz sampling magnetometer. Combination of these multiple instruments with the European Incoherent SCATter (EISCAT) radar enables us to detect the low-altitude ionization due to energetic electron precipitation during PsA and further to reveal the ionospheric electrodynamics behind PsA. Since the launch of the Arase satellite, the data from these instruments have been examined in comparison with the wave and particle data from the satellite in the magnetosphere. In the future, the system can be utilized not only for studies of PsA but also for other classes of aurora in close collaboration with the planned EISCAT_3D project.

DOI： 10.1029/2023JA031527

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An Implication of Detecting the Internal Modulation in a Pulsating Aurora: A Conjugate Observation by the Arase Satellite and All-Sky Imagers

Nanjo S., Ebukuro S., Nakamura S., Miyoshi Y., Kurita S., Oyama S.I., Ogawa Y., Keika K., Kasahara Y., Kasahara S., Matsuoka A., Hori T., Yokota S., Matsuda S., Shinohara I., Wang S.Y., Kazama Y., Jun C.W., Kitahara M., Hosokawa K.

Journal of Geophysical Research: Space Physics 128 巻 ( 8 ) 2023年8月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Journal of Geophysical Research: Space Physics

A physical mechanism to produce pulsating aurora (PsA) has been considered to be the interaction of the electron and the chorus wave generated near the equatorial plane of the magnetosphere. A recent observation of high temporal resolution of chorus waves by the Arase satellite revealed that the presence or absence of the internal modulation of PsA, which is a characteristic sub-second scintillation at 3 ± 1 Hz within each optical pulsation, is closely related to the discreteness of the element structure of the chorus wave. However, it is still unclear what parameters (or conditions) control the discreteness of the element and the existence of the internal modulation of PsA. In this study, we discuss parameters that determine the presence or absence of the internal modulation of PsA and element structure of chorus by showing a conjugate observation of PsA/chorus by ground-based cameras and the Arase satellite. During the event, the occurrence of internal modulation increased temporally. The wave data from the satellite show that the repetitive frequency of elements was ∼6 Hz when the internal modulation was indistinct, while the repetitive frequency was ∼3 Hz when the internal modulation was distinct. The particle measurements suggest that this difference was caused by changes in the density and the temperature anisotropy of the hot electron. The internal modulation was clearly observed when the density of hot electrons decreased and the temperature anisotropy relaxed after the injection. Observations of internal modulations from the ground might allow us to estimate the parameters such as energetic electron density and temperature anisotropy in the magnetosphere.

DOI： 10.1029/2023JA031499

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IMF Dependence of Midnight Bifurcation in the Thermospheric Wind at an Auroral Latitude Based on Nine Winter Measurements in Tromsø, Norway

Oyama S., Hosokawa K., Vanhamäki H., Aikio A., Sakanoi T., Cai L., Virtanen I.I., Shiokawa K., Nishitani N., Shinbori A., Ogawa Y.

Geophysical Research Letters 50 巻 ( 14 ) 2023年7月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Geophysical Research Letters

A thermospheric wind data set from a Fabry-Perot interferometer (630 nm) and the ion velocity from a Dynasonde in Tromsø, Norway, was analyzed for nine winter seasons to study the dynamics of the thermosphere and F-region ionosphere at an auroral latitude. This study focused on bifurcation in the zonal component of the neutral wind and ion velocity at midnight and its dependence on the Y component of the interplanetary magnetic field (IMF). Ionospheric plasma convection patterns are evidently imprinted on the thermospheric wind variations as aspects of the westward and eastward accelerations at dusk and late morning, respectively. The zonal wind bifurcates immediately before midnight for IMF By < 0, but for By > 0, it inverts gradually into the postmidnight sector. Neutral wind streams, originating from higher latitudes, may result in the dependence because of anti-sunward plasma flow distorted in the polar cap.

DOI： 10.1029/2023GL104334

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UBL3 Interacts with Alpha-Synuclein in Cells and the Interaction Is Downregulated by the EGFR Pathway Inhibitor Osimertinib.

Chen B, Hasan MM, Zhang H, Zhai Q, Waliullah ASM, Ping Y, Zhang C, Oyama S, Mimi MA, Tomochika Y, Nagashima Y, Nakamura T, Kahyo T, Ogawa K, Kaneda D, Yoshida M, Setou M

Biomedicines 11 巻 ( 6 ) 2023年6月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Biomedicines

Ubiquitin-like 3 (UBL3) acts as a post-translational modification (PTM) factor and regulates protein sorting into small extracellular vesicles (sEVs). sEVs have been reported as vectors for the pathology propagation of neurodegenerative diseases, such as α-synucleinopathies. Alpha-synuclein (α-syn) has been widely studied for its involvement in α-synucleinopathies. However, it is still unknown whether UBL3 interacts with α-syn, and is influenced by drugs or compounds. In this study, we investigated the interaction between UBL3 and α-syn, and any ensuing possible functional and pathological implications. We found that UBL3 can interact with α-syn by the Gaussia princeps based split luciferase complementation assay in cells and immunoprecipitation, while cysteine residues at its C-terminal, which are considered important as PTM factors for UBL3, were not essential for the interaction. The interaction was upregulated by 1-methyl-4-phenylpyridinium exposure. In drug screen results, the interaction was significantly downregulated by the treatment of osimertinib. These results suggest that UBL3 interacts with α-syn in cells and is significantly downregulated by epidermal growth factor receptor (EGFR) pathway inhibitor osimertinib. Therefore, the UBL3 pathway may be a new therapeutic target for α-synucleinopathies in the future.

DOI： 10.3390/biomedicines11061685

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PubMed

DEVELOPMENT OF A MACHINE-LEARNING MODEL FOR PREDICTING POST-ERCP PANCREATITIS

Takahashi Hidekazu, Eizaburo Ohno, Taiki Furukawa, Kentaro Yamao, Takuya Ishikawa, Yasuyuki Mizutani, Tadashi Iida, Yoshimune Shiratori, Shintaro Oyama, Junji Koyama, Kensaku Mori, Yuichiro Hayashi, Masahiro Oda, Takahisa Suzuki, Hiroki Kawashima

Gastrointestinal Endoscopy 97 巻 ( 6 ) 頁： AB656 - AB656 2023年6月

多施設共同研究による医療機器ネットワーク化の研究開発医療IoTがもたらす業務効率化査読有り

宮城英毅, 相木一輝, 澤井由佳, 鈴木祥仁, 半田裕, 松月正樹, 川本祐輝, 稲田潤一, 出野義則, 大塚孝信, 大山慎太郎

日本臨床工学技士会会誌 ( 78 ) 頁： 230 - 230 2023年6月

電源タップ型位置稼働情報収集ソリューションを用いたトレーサビリティモニタリングの検討

川本祐輝, 稲田潤一, 石原宗太朗, 花岡正志, 坂本祐二, 角谷和飛, 澤井由佳, 加藤博史, 出野義則, 大山慎太郎, 大塚孝信

日本臨床工学技士会会誌 ( 78 ) 頁： 220 - 220 2023年6月

DEVELOPMENT OF A MACHINE-LEARNING MODEL FOR PREDICTING POST-ERCP PANCREATITIS

Hidekazu, T; Ohno, E; Furukawa, T; Yamao, K; Ishikawa, T; Mizutani, Y; Iida, T; Shiratori, Y; Oyama, S; Koyama, J; Mori, K; Hayashi, Y; Oda, M; Suzuki, T; Kawashima, H

GASTROINTESTINAL ENDOSCOPY 97 巻 ( 6 ) 頁： AB656 - AB656 2023年6月

DEVELOPMENT OF A MACHINE-LEARNING MODEL FOR PREDICTING POST-ERCP PANCREATITIS

Hidekazu, T; Ohno, E; Furukawa, T; Yamao, K; Ishikawa, T; Mizutani, Y; Iida, T; Shiratori, Y; Oyama, S; Koyama, J; Mori, K; Hayashi, Y; Oda, M; Suzuki, T; Kawashima, H

GASTROINTESTINAL ENDOSCOPY 97 巻 ( 6 ) 頁： AB615 - AB615 2023年6月

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