SK
Satoshi Kodera
Artificial intelligenceEndovascular therapyDeep LearningChronic total occlusionCoronary artery diseaseElectrocardiographyPercutaneous coronary interventionArtificial IntelligenceAngioplasty, Ballooncs.AI
On Valency
published · living versionsW_fwepdm7v·v1 · currentpublished
Integrating Heterogeneous Echocardiography AI Outputs in Language Space: Learnable Late Fusion with a Supervised LLM
with Ryo Takizawa, Tempei Kabayama, Chiemi Yamazaki, Shun Kitamura +3
1 version
Preprints & journals
130 papers in the corpus · 2006–2026Prehospital prognostication after out-of-hospital cardiac arrest in tertiary care centers: the R-EDByUS score in the JAAM-OHCA registry.42838495 · Shimada, Takenobu, Kawai, Ryota, Shintani, Ayumi et al.2026 · 1 citationResuscitation. 2026:111341
REN-former prioritizes candidate regulators of kidney disease-state transitions through single-cell foundation modeling and human genetics10.64898/2026.09.10.746481v1 · Mimura, I., Hosokawa, S., Hirakawa, Y. et al.2026 · 0 citationsbioRxiv
Comprehensive Echocardiography Interpretation Using Video and Multiview Vision-Language AI.42658143 · Takizawa, Ryo, Yamazaki, Chiemi, Kodera, Satoshi et al.2026 · 0 citationsJACC. Asia. 2026;6(10 Pt 2):2533-2546
Combined Triglyceride-High-density Lipoprotein Cholesterol Phenotypes and Cardiovascular Outcomes in Japanese Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention: Insights from Clinical Deep Data Accumulation System-PCI.42649045 · Kimura, Mitsukuni, Katsuki, Shunsuke, Nakano, Yasuhiro et al.2026 · 0 citationsJournal of atherosclerosis and thrombosis. 2026
Large language model-based simulated patient training for heart failure palliative care communication: a pilot study.42553746 · Kishikawa, Risa, Morita, Hiroyuki, Kodera, Satoshi2026 · 0 citationsEuropean heart journal. Digital health. 2026;7(7):ztag119
Development and External Validation of a Machine Learning-Based Bleeding Risk Score for Patients Undergoing Percutaneous Coronary Intervention.42724133 · Tokai, Tatsuya, Ishii, Masanobu, Ikebe, So et al.2026 · 0 citationsCirculation reports. 2026;8(9):1421-1430
Profiles and Prognostic Value of a Non-Invasive Liver Fibrosis Marker in Patients With Acute and Chronic Coronary Syndrome: Insights From the CLIDAS-PCI.42724258 · Saitoh, Wataru, Shimada, Takenobu, Fukuda, Daiju et al.2026 · 0 citationsCirculation reports. 2026;8(9):1490-1499
A No-Code, Guideline-Based Custom GPT Outperforms Cardiologists in Response Quality for Cardiac Amyloidosis.42489385 · Fujiki, Goro, Kodera, Satoshi, Morita, Hiroyuki et al.2026 · 0 citationsJACC. Advances. 2026;5(7):102918
JRadiEvo: A Japanese radiology report generation model enhanced by evolutionary optimization of model merging.42349205 · Baba, Kaito, Kodera, Satoshi, Yagi, Ryota et al.2026 · 0 citationsArtificial intelligence in medicine. 2026;180:103482
From DNA to drug discovery AI models for cardiovascular precision medicine.42269859 · Kodera, Satoshi, Takeda, Norihiko2026 · 1 citationJournal of cardiology. 2026;88(5):353-360
Does ECG-Based AI Detect Aortic Stenosis Beyond Conventional LVH Criteria? An Analysis of the CLIDAS Database10.64898/2026.06.07.26355087v1 · Shimada, T., Kodera, S., Sawano, S. et al.2026 · 0 citationsmedRxiv
Toward a Synthetic Data Revolution: Diffusion Model-Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease.42233479 · Sato, Masaya, Nakatsuka, Takuma, Matsushita, Yuki et al.2026 · 0 citationsHepatology research : the official journal of the Japan Society of Hepatology. 2026;56(10):1466-1474
Evo 2 Predicts Cardiomyopathy-Associated Variants and Elucidates Their Underlying Mechanisms10.64898/2026.05.15.725304v1 · kurozumi, a., otsuka, n., Masamichi, I. et al.2026 · 0 citationsbioRxiv
A High-Speed Image AI Facilitating the Visual Assessment of the Membrane's Motion in EXCOR VAD.42136060 · Ota, Hidehito, Kawahara, Takuya, Ohta, Miki et al.2026 · 0 citationsArtificial organs. 2026;50(10):1434-1442
Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy.42169734 · Kiyohara, Yuko, Fukagawa, Seito, Nomura, Seitaro et al.2026 · 1 citationEuropean heart journal. Digital health. 2026;7(5):ztag068
Optimizing Single-Lead Electrocardiogram Orientation Improves Detection of Left Ventricular Dysfunction.41987410 · Makimoto, Hisaki, Okatani, Takayuki, Sato, Masafumi et al.2026 · 0 citationsCirculation journal : official journal of the Japanese Circulation Society. 2026;90(6):701-712
Impella in killip class IV acute myocardial infarction complicated by pulseless ventricular arrhythmia.41904306 · Fujimoto, Hajime, Komiyama, Kota, Kodera, Satoshi et al.2026 · 0 citationsCardiovascular intervention and therapeutics. 2026;41(3):609-617
PAH-former: Transfer learning for efficient discovery of pulmonary arterial hypertension-associated genes.41790620 · Kawakami, Toshinaru, Hosokawa, Sosuke, Ito, Masamichi et al.2026 · 0 citationsPloS one. 2026;21(3):e0344084
Retrospective observational analysis of prasugrel dosage afterpercutaneous coronary intervention using the Clinical Deep DataAccumulation System database.41743343 · Hiroi, Yukio, Shimizu, Yosuke, Uemura, Yukari et al.2026 · 0 citationsGlobal health & medicine. 2026;8(1):39-52
Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation2603.16876v2 · Kaito Baba, Risa Kishikawa, Satoshi Kodera2026 · 0 citationsarXiv
Validity of Diagnoses of Aortic Dissection and Pulmonary Embolism in Hospitalized Patients Using the Japanese DPC Database.41621909 · Kishikawa, Risa, Kodera, Satoshi, Abe, Kohei et al.2026 · 1 citationInternational heart journal. 2026;67(1):61-64
Impact of osteoporosis risk on in-hospital mortality in older patients with acute myocardial infarction: Insight from Tokyo CCU network database.41280661 · Saji, Mike, Kohsaka, Shun, Miyauchi, Katsumi et al.2025 · 0 citationsInternational journal of cardiology. Cardiovascular risk and prevention. 2025;27:200540
Prevalence, associated factors, and prognostic value of P wave abnormality in patients with coronary artery disease.41293089 · Hirose, Kazutoshi, Kiriyama, Hiroyuki, Minatsuki, Shun et al.2025 · 0 citationsInternational journal of cardiology. Cardiovascular risk and prevention. 2025;27:200533
Transcoder-based Circuit Analysis for Interpretable Single-Cell Foundation Models2509.14723v1 · Sosuke Hosokawa, Toshiharu Kawakami, Satoshi Kodera et al.2025 · 0 citationsarXiv
Efficacy and Safety of High-Intensity Statins in Japanese Patients After Percutaneous Coronary Intervention - Insights From the Clinical Deep Data Accumulation System (CLIDAS®).40533165 · Matoba, Tetsuya, Katsuki, Shunsuke, Nakano, Yasuhiro et al.2025 · 6 citationsCirculation journal : official journal of the Japanese Circulation Society. 2025;89(8):1204-1215
Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification.40585176 · Kurata, Yu, Mimura, Imari, Kodera, Satoshi et al.2025 · 2 citationsmedRxiv : the preprint server for health sciences. 2025
Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.40374642 · Hirose, Kazutoshi, Kodera, Satoshi, Nishikawa, Masako et al.2025 · 9 citationsNature communications. 2025;16(1):4386
CAG-VLM: Fine-Tuning of a Large-Scale Model to Recognize Angiographic Images for Next-Generation Diagnostic Systems2505.04964v2 · Yuto Nakamura, Satoshi Kodera, Haruki Settai et al.2025 · 0 citationsarXiv
Video CLIP Model for Multi-View Echocardiography Interpretation2504.18800v3 · Ryo Takizawa, Satoshi Kodera, Tempei Kabayama et al.2025 · 0 citationsarXiv
Heart failure monitoring with a single‑lead electrocardiogram at home.40280823 · Hasumi, Eriko, Fujiu, Katsuhito, Chen, Ying et al.2025 · 12 citationsInternational journal of cardiology. 2025;432:133203
Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels2504.09302v1 · Junichiro Takahashi, JingChuan Guan, Masataka Sato et al.2025 · 0 citationsarXiv
Human-Centered AI in Multidisciplinary Medical Discussions: Evaluating the Feasibility of a Chat-Based Approach to Case Assessment2503.16464v1 · Shinnosuke Sawano, Satoshi Kodera2025 · 0 citationsarXiv
Long-term cardiovascular outcomes after percutaneous coronary intervention in patients with systemic sclerosis.39990173 · Hirose, Kazutoshi, Kiriyama, Hiroyuki, Minatsuki, Shun et al.2025 · 0 citationsInternational journal of cardiology. Heart & vasculature. 2025;57:101625
An ensemble learning model for detection of pulmonary hypertension using electrocardiogram, chest X-ray, and brain natriuretic peptide.40110214 · Kishikawa, Risa, Kodera, Satoshi, Setoguchi, Naoto et al.2025 · 8 citationsEuropean heart journal. Digital health. 2025;6(2):209-217
Acute Myocardial Infarction Caused by Pulmonary Vein Stump Thrombosis after Thoracoscopic Left Upper Lobectomy.39949760 · Fukushima, Takahito, Nagano, Masaaki, Cong, Yue et al.2025 · 1 citationSurgical case reports. 2025;11(1)
Enhancing Chest Radiography Artificial Intelligence Model with Electrocardiogram for Improved Detection of Low Ejection Fraction.41034022 · Sato, Masataka, Kodera, Satoshi, Hamano, Shogo et al.2025 · 0 citationsInternational heart journal. 2025;66(5):771-779
Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms.39886205 · Fujiki, Goro, Kodera, Satoshi, Setoguchi, Naoto et al.2025 · 3 citationsJACC. Asia. 2025;5(1):88-98
Deep Learning to Detect Pulmonary Hypertension from the Chest X-Ray Images of Patients with Systemic Sclerosis.39537168 · Shimbo, Mai, Hatano, Masaru, Katsushika, Susumu et al.2024 · 4 citationsInternational heart journal. 2024;65(6):1066-1074
Cost-Effectiveness of Empagliflozin in CKD with or without Albuminuria.39792538 · Odawara, Motoki, Nishi, Hiroshi, Kodera, Satoshi et al.2026 · 2 citationsClinical journal of the American Society of Nephrology : CJASN. 2025;20(1):50-61
Ethical, legal, and social issues (ELSI) and reporting guidelines of AI research in healthcare.39298409 · Kameyama, Junko, Kodera, Satoshi, Inoue, Yusuke2024 · 8 citationsPLOS digital health. 2024;3(9):e0000607
Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.39141600 · Sawano, Shinnosuke, Kodera, Satoshi, Setoguchi, Naoto et al.2024 · 18 citationsPloS one. 2024;19(8):e0307978
Monitoring Berlin Heart EXCOR by computer vision: A preliminary implementation and evaluation.39016696 · Ota, Hidehito, Fujimura, Tomomi, Kunikata, Ayumi et al.2024 · 3 citationsArtificial organs. 2024;48(12):1430-1437
70B-parameter large language models in Japanese medical question-answering2406.14882v1 · Issey Sukeda, Risa Kishikawa, Satoshi Kodera2024 · 1 citationarXiv
[Development of a Deep Learning Model for Judging Late Gadolinium-enhancement in Cardiac MRI].38897968 · Kasahara, Akihiro, Iwasaki, Takahiro, Mizutani, Takuya et al.2024 · 0 citationsNihon Hoshasen Gijutsu Gakkai zasshi. 2024;80(7):750-759
The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease.38889124 · Shinohara, Hiroki, Kodera, Satoshi, Nagae, Yugo et al.2024 · 6 citationsPloS one. 2024;19(6):e0304423
Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays.38296576 · Sawano, Shinnosuke, Kodera, Satoshi, Sato, Masataka et al.2024 · 2 citationsInternational heart journal. 2024;65(1):29-38
Clinical valve thrombosis and arterial embolism in a cancer patient after transcatheter aortic valve replacement.38033403 · Sawano, Shinnosuke, Miura, Mizuki, Higashikuni, Yasutomi et al.2023 · 1 citationOxford medical case reports. 2023;2023(11):omad125
Deep Learning Models for Predicting Left Heart Abnormalities From Single-Lead Electrocardiogram for the Development of Wearable Devices.37967949 · Sato, Masataka, Kodera, Satoshi, Setoguchi, Naoto et al.2023 · 24 citationsCirculation journal : official journal of the Japanese Circulation Society. 2023;88(1):146-156
Forecasting the Acute Heart Failure Admissions: Development of Deep Learning Prediction Model Incorporating the Climate Information.37952642 · Jimba, Takahiro, Kodera, Satoshi, Kohsaka, Shun et al.2024 · 7 citationsJournal of cardiac failure. 2024;30(2):404-409
Clinical feasibility of endovascular recanalization with intravascular ultrasound-guided wiring for chronic total occlusion of below-the-knee arteries.37855917 · Hayakawa, Naoki, Kodera, Satoshi, Miwa, Hiromi et al.2023 · 8 citationsCVIR endovascular. 2023;6(1):48
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