Publications
2022
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11.15
A pilot study in a comprehensive stroke center by using Join to improve stroke code workflow metrics
Raquel GZ, Jorge U, Juan Carlos SM, et al.: The use of a smartphone application to improve stroke code workflow metrics: A pilot study in a comprehensive stroke centre, DIGITAL HEALTH, Volume 8
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06.01
Verification of the usefulness of regional telemedicine network using Join in neuro-emergency patient care
Sato H, Kinoshita M, Tani Y, et al.: The health economic effects of an imaging technology–based telemedicine system for rural neuro-emergency patient care, Neurosurgical Focus, 2022, Volume 52, E2
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05.28
Image sharing among doctors using Join on the night and holiday emergency medical service
Tanitame K, Arald H, Nosaka R, et al.: 情報通信技術を用いた夜間休日救急医療における医師間画像情報共有, 広島医学, 2022, Vol. 75 No. 5, 191-197
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02.22
Using Join to speed communication of CT findings in acute cerebral infarction
Sanchez CJ, Su A, Sharperson C, Prater AB, et al.: Expedited communication of CT findings for acute stroke using a HIPAA-compliant messaging system, Neuroscience Informatics, 2022, 2
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02.11
A feasibility study of secure remote neuro-endovascular consultation using Join
Ishibashi T, Kaku S, Sonoda S, Murayama Y: Remote neuro-endovascular consultation using a secure telemedicine system: A feasibility study, Surgical Neurology International, 2022, 13(47)
2021
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12.01
Effects of introducing Join as a telemedicine tool into neurological emergency system in local emergency hospital
Fujita K, Hirayama K, Tsuji N, et al.: 地方二次救急病院における脳神経救急診療への遠隔画像診断支援アプリ「JOIN」導入効果, Journal of Japan Society of Neurological Emergencies & Critical Care, 2021, Vol. 33 No. 2, 34-41
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08.06
The field validation of FAST-ED by using Join and JoinTriage
Madison Daly MD, Cori Cummings MD, Miles Kittell BS, Amy Dubuque RN, et al.: Validation of field assessment stroke triage for emergency destination for prehospital use in a rural EMS system, American Journal of Emergency Medicine, 2021, Volume 50, 178–182
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08.02
A prospective cohort study analyzing the cycle threshold (Ct) value trends in patients with mild COVID-19
Sakano T, Urashima M, Takao H, Takeshita K, Kobashi H, Fujiwara T: Differential Kinetics of Cycle Threshold Values during Admission by Symptoms among Patients with Mild COVID-19: A Prospective Cohort Study, International Journal of Environmental Research and Public Health, 2021, 18(15), 8181
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04.15
Improvement of the stroke care by using the Join application
Takao H, Sakai K, Mitsumura H, Komatsu T, et al.: A Smartphone Application as a Telemedicine Tool for Stroke Care Management, Neurologia medico-chirurgica, 2021, 61(4), 260-267
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02.26
Join facilitates information sharing among stroke teams and helps to shroten the time to reprefusion therapy
Sakai K, Sato T, Komatsu T, Mitsumura H, et al.: Communication-type smartphone application can contribute to reducing elapsed time to reperfusion therapy, Neurological Sciences, 2021
2020
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12.22
Summary of how irreversibly the practice of medicine has transformed
Gisele Sampaio Silva, Lee H. Schwamm: Advances in Stroke, Stroke, 2021, 52(1), 351–355
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06.11
Thrombectomy for stroke in the public health care system of brazil
Martins SO, Mont’Alverne F, Rebello LC, et al.: Thrombectomy for Stroke in the Public Health Care System of Brazil., N Engl J Med, 2020, 382(24), 2316–26
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06.09
Comparing DWI interpretation using Join with a desktop PC monitor
Sakai K, Komatsu T, Iguchi Y, Takao H, et al.: Reliability of Smartphone for Diffusion-Weighted Imaging-Alberta Stroke Program Early Computed Tomography Scores in Acute Ischemic Stroke Patients: Diagnostic Test Accuracy Study, Journal of Medical Internet Research, 2020, 22(6), e15893
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05.18
Review of medical artificial intelligence (AI)
Ishii E, Ebner DK, Kimura S: The advent of medical artificial intelligence: Lessons from the Japanese approach., J Intensive Care, 2020, 8(1), 4–9
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04.10
Introduction of empirical research and practice in emergency and disaster medical care using the functions of MySOS, Join, and JoinTriage
武田 聡, 竹下 康平, 高尾 洋之: 情報技術を用いた救急医療・災害医療をつなぐ・支える取り組み, 計測と制御, 2020, 59(4), 263-268
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04.05
Verification of the usefulness of ophthalmic diagnostic support using a smartphone with an anterior segment imaging attachment and a medical SNS
花田 一臣, 石子 智士, 木ノ内 玲子, 守屋 潔, et al.: 前眼部撮影用アタッチメントを装着したスマートフォンと医療用social networking service（SNS）を用いた眼科診断支援, 眼科, 2020, 62(4), 399-406
2019
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12.18
Validation of Join in the evaluation and treatment of acute stroke for tele medicine
Martins SCO, Weiss G, Almeida AG, et al.: Validation of a Smartphone Application in the Evaluation and Treatment of Acute Stroke in a Comprehensive Stroke Center., Stroke, 2020, 51(1), 240–6
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09.13
Treatment options in stroke care
Lima FO, Mont’Alverne FJA, Bandeira D, Nogueira RG: Pre-hospital Assessment of Large Vessel Occlusion Strokes: Implications for Modeling and Planning Stroke Systems of Care., Front Neurol, 2019, 10, 955
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08.20
The history of stroke treatment in Japan and the future of stroke treatment
Toyoda K, Inoue M, Koga M: Small but Steady Steps in Stroke Medicine in Japan, J Am Heart Assoc, 2019, 8(16), e013306
2017
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09.05
The examination of Join in the treatment of stroke patients
Munich SA, Tan LA, Nogueira DM, Keigher KM, et al.: Mobile Real-time Tracking of Acute Stroke Patients and Instant, Secure Inter-team Communication – the Join App., Neurointervention, 2017, 12(2), 69-76
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04.14
Review of the smartphone-based triage app Fast-ED (current JoinTriage)
Nogueira RG, Silva GS, Lima FO, et al.: The FAST-ED App: A Smartphone Platform for the Field Triage of Patients With Stroke., Stroke, 2017, 48(5), 1278–1284
