TXP Medical has not only a product R&D department, but also an academic research department, TXP Research.
Based on the desire to “contribute to emergency medicine and making technical/medical innovation,” students and doctors from all over the country gather to conduct clinical research and contribute academically through conference presentations and research paper publications.
In addition, we aim to implement and validate the research findings. Our goal is to improve medical care by delivering our findings to clinic.
TXP Research’s mission
Contribute to the academic community by building a system and research environment where high quality data can be collected through our systems and clinical research can be conducted continuously.
Not only publishing academic research, we also aim to evaluate the impact of our findings through social implementation with our systems.
Build an academic network by learning epidemiology, statistics, and artificial intelligence (e.g., machine/deep learning and natural language processing) and building a global team.
TXP Research was launched in 2020 and now has a team of over 25 members (including 18 physicians). TXP research team consists of experts in epidemiology, mathematical statistics, and machine learning as well as key opinion leaders with diverse experience in multicenter collaborative studies, randomized controlled trials, and big data analysis with foreign research groups. This strong team makes it possible to work on variety of academic researches that can be only archived by TXP Medical.
We also provide learning opportunities and not only analyze databases, but also support product development, multicenter observational studies, randomized controlled trials, and other activities to implement the findings to society.
Team Leader
MD, MPH, PhD
GOTO Tadahiro
GOTO Tadahiro
After graduating from the University of Fukui Faculty of Medicine, he trained in the Emergency Department of the University of Fukui Hospital. He worked as a core member of the Emergency Medicine Alliance and the Japanese Emergency Medicine Network. After obtaining board-certified emergency medicine physician, he entered the master's program at Harvard School of Public Health and simultaneously engaged as Research Fellow at the Emergency Department, Massachusetts General Hospital for three years. After returning to Japan, he worked as a researcher at the Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo. He is currently the Chief Scientific Officer of TXP Medical.
（Researchmap／Google Scholar／ER collection）
Research Supervisor
MD, PhD
HARA Konan
HARA Konan
Konan Hara is a MD and a PhD in Public Health and is currently an Economics PhD student at the University of Arizona. He received a BA, a MD, and a PhD in Public Health from the University of Tokyo. He trained at the University of Tokyo Hospital Internship program. Prior to starting the Economics PhD program, he was a project researcher at the Graduate School of Economics and Department of Public Health at the University of Tokyo.
MD, MPH, MMSc
RAITA Yoshihiko
RAITA Yoshihiko
After graduating from Kanazawa University Faculty of Medicine, he completed an internal medicine residency program at Okinawa Prefectural Chubu Hospital and worked at Okinawa Prefectural Miyako Hospital for two years as a general internal medicine physician. Subsequently, he started a nephrology fellowship program at Okinawa Prefectural Chubu Hospital. In 2018, he graduated from the Johns Hopkins University School of Public Health (MPH degree) and then he was enrolled in the Master of Medical Sciences in Clinical Investigation at Harvard Medical School (MMSc degree). During the Master program at Harvard Medical School, he concurrently worked as a research fellow at Massachusetts General Hospital. After coming back to Japan in 2021, he started to work at the Department of Nephrology at Okinawa Prefectural Chubu Hospital as an attending physician. He also has been affiliated with TXP Medical Research and has been involved with innovative research with domestic and international collaborators.
Biostatistician
MPH, PhD
SHINOZAKI Tomohiro
SHINOZAKI Tomohiro
After graduating from Department of Health Sciences and Nursing (currently Integrated Health Sciences), Faculty of Medicine, the University of Tokyo in 2009, he completed a master's program in School of Public Health at the Graduate School of Medicine in 2011. He started academic career as an assistant professor at Department of Biostatistics, Graduate School of Medicine, the University of Tokyo from 2012. He has been affiliated with Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science from 2019. His specialties lie in biostatistics and statistical causal inference.
Collaborators (some, including outside)
FUKAGUCHI Kiyomitsu(MD, MHDS)
FUKAGUCHI Kiyomitsu
After graduating from Kumamoto University, I am currently an emergency medicine physician at Shonan Kamakura General Hospital. At TXP Medical, I am involved in clinical research, working with experienced mentors and young researchers. Our team uses real-world data to create informative research papers that will help advance the field of emergency medicine. As we explore new developments in this area, I am excited about the many opportunities ahead. I aim to contribute to developing emergency medical care in Japan and worldwide.
NAKASHIMA Takaya(MD)
NAKASHIMA Takaya
After graduating from the Faculty of Medicine at Nagasaki University in 2022, he is currently in his second year of postgraduate training as a junior resident at Nagasaki University Hospital. In addition to his residency, he is engaged in clinical research in the field of anesthesia and critical care at the graduate school level. His primary role at TXP Medical involves data analysis.
KASUGAI Daisuke(MD, PhD)
KASUGAI Daisuke
2015 Graduated from Nagoya University Faculty of Medicine. After initial training at the Japanese Red Cross Medical Center, currently engaged in clinical research primarily focused on intensive care at Nagoya University Hospital's Emergency Department. Specialized in Emergency and Intensive Care Medicine. At the university, advancing translational research targeting organ dysfunctions in critically ill patients. Collaborating with TXP Research to leverage unique data sources and methodologies from TXP Medical, aiming to further expand the scope of research topics.
Interns (some of the members)
OGURA Kentaro
OGURA Kentaro
Graduated from Tokyo University Faculty of Medicine, Medical Science. Engaged in practical web development using Python for approximately one year, obtaining the AWS Certified Solutions Architect - Associate certification. Founded a startup in the field of web media during the second year of undergraduate studies, subsequently transferring all shares to an unlisted company. Currently involved in machine learning for classification, as well as analysis of electrocardiograms and monitor waveforms. Authored one lead clinical research paper and co-authored seven publications.
Achievements
List of papers
As of August 2024 / Transition to Google Spreadsheet.
FUNDING
1. AMED FY2021 "Project for Strengthening Advanced R&D and Development Systems for Medical Devices (Fundamental Technology Development Project)": Development of a medical device system to prevent serious illness by seamlessly sharing information from pre-hospital to hospital and between multiple facilities through the application of an emergency telemedicine system (Principal Investigator: Shigeki Fujitani, St. Marianna Medical University; Research Sub-Principal: Tadahiro Goto, TXP Medical Inc. (Principal investigator: Shigeki Fujitani, St. Marianna Medical University; Research subcontractor: Tadahiro Goto, TXP Medical Corporation; maximum 76,000,000 yen per project)
2. National Institute of Biomedical Innovation (NIBIO): Strategic Innovation Program (SIP): AI Hospital Project (Principal Investigator: Tomohiro Sonoo) (FY 2018-2022)
RESEARCH ARTICLES (as TXP Research / Collaboration)
1. Sato M, Goto T. Dose reduction of olaparib in older patients: Insights from an analysis of a National Database in Japan. J Obstet Gynaecol Res. 2023 Dec;49(12):2889-2893.
2. Yasuda M, Saito A, Goto T, Yamamoto R, Liu K, Kuriyama A, Kondo Y, Kasugai D; RED‐PAM study investigators. Challenges hindering emergency physicians; involvement in multicenter collaborative studies in Japan: A nationwide survey analysis. Acute Med Surg. 2023 Nov 23;10(1):e906.
3. Ito N, Kadomatsu S, Fujisawa M, Fukaguchi K, Ishizawa R, Kanda N, Kasugai D, Nakajima M, Goto T, Tsugawa Y. The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study. JMIR Med Educ. 2023 Nov 2;9:e47532.
4. Nakajima M, Okada Y, Sonoo T, Goto T. Development and Validation of a Novel Method for Converting the Japan Coma Scale to Glasgow Coma Scale. J Epidemiol. 2023 Oct 5;33(10):531-535.
5. (Letter) Kasugai D, Nakashima T, Goto T. Clinical implications of urine output-based sepsis-associated acute kidney injury. Intensive Care Med. 2023 Oct;49(10):1263-1265
6. Shibata J, Okada Y, Osawa I, Shiraishi A, Goto T. Trauma mechanisms and patterns of blunt cervical vascular injury: A descriptive study using a nationwide trauma registry. Am J Emerg Med. 2023 Sep;71:117-122.
7. Takahashi M, Ogura K, Goto T, Hayakawa M. Electrocardiogram monitoring as a predictor of neurological and survival outcomes in patients with out-of-hospital cardiac arrest: a single-center retrospective observational study. Front Neurol. 2023 Jul 4;14:1210491.
8. Shibata J, Osawa I, Fukuchi K, Goto T. The Association Between Time From Emergency Department Visit to ICU Admission and Mortality in Patients With Sepsis. Crit Care Explor. 2023 May 9;5(5):e0915.
9. Saito A, Osawa I, Shibata J, Sonoo T, Nakamura K, Goto T. The prognostic utility of prehospital qSOFA in addition to emergency department qSOFA for sepsis in patients with suspected infection: A retrospective cohort study. PLoS One. 2023 Feb 24;18(2):e0282148.
10.Okuma A, Nakajima M, Sonoo T, Nakamura K, Goto T. Association between comorbid mental illness and preceding emergency department visits in unplanned admissions. Acute Med Surg. 2023 Jan 18;10(1):e814
11. Nakamura K, Ogura K, Nakano H, Ikechi D, Mochizuki M, Takahashi Y, Goto T. Explorative Clustering of the Nitrogen Balance Trajectory in Critically Ill Patients: A Preliminary post hoc Analysis of a Single-Center Prospective Observational Study. Ann Nutr Metab. 2023;79(5):460-468
12. Fukaguchi K, Goto T, Yamamoto T, Yamagami H. Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis. JMIR Form Res. 2022;6(7):e37301.
13. Fujimori R, Liu K, Soeno S, Naraba H, Ogura K, Hara K, Sonoo T, Ogura T, Nakamura K, Goto T. Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence-Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation. JMIR Form Res. 2022;6(6):e36501.
14. Fukuchi K, Osawa I, Satake S, Ito H, Shibata J, Dohi E, Kasugai D, Miyamoto Y, Ohbe H, Tamoto M, Yamada K, Yoshikawa K, Goto T. The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms. Crit Care Explor. 2022;4(6):e0718
15. Liu K, Shibata J, Fukuchi K, Takahashi K, Sonoo T, Ogura T, Goto T.Optimal timing of introducing mobilization therapy for ICU patients with sepsis. J Intensive Care. 2022;10(1):22.
16. Okada Y, Okada A, Ito H, et al. External validation of the POP score for predicting obstetric and gynecological diseases in the emergency department. Am J Emerg Med. 2021;51:348-353
17. Shibata J , Osawa I, Soeno S, et al. Risk factors of sepsis among patients with qSOFA<2 in the emergency department. Am J Emerg Med 2021;50:699-706
18. Naraba H. Goto T. Tokuda M. et al. Accuracy and stability of a subcutaneous flash glucose monitoring system in critically ill patient. J Diabetes Sci Technol. Jun 11:19322968211017203.
19. Fukaguchi K, Yamagami H, Soeno S. et al. Association of Initial Potassium Levels with the Type of Stroke in the Emergency Department. J Stroke Cerebrovasc Dis. 2021;30(8):105875.
20. Naraba H, Goto T, Shirakawa T et al. Time in blood glucose range 70 to 180 mg/dL and survival rate in critically ill patients: A retrospective cohort study. PLOS One. 2021;16(5):e0252158.
21. Osawa I, Sonoo T, Soeno S, Hara K, Nakamura K, and Goto T. Clinical performance of early warning scoring systems for identifying sepsis among anti-hypertensive agent users. Am J Emerg Med. 2021;48:120-127
22. Soeno S, Hara K, Fujimori R, Hashimoto K, Shirakawa T, Sonoo T, Nakamura K, Goto T. Initial assessment in emergency departments by chief complaint and respiratory rate. J Gen Fam Med. 2021;22(4):202-208
23. Fukaguchi K, Goto T, Fukui H, Sekine I, Yamagami H. Reversible cerebral vasoconstriction syndrome: the importance of follow-up imaging within 2 weeks. Acute Med Surg. 2020;7(1):e559.
24. Osawa I, Goto T, Yamamoto Y, Tsugawa Y. Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data. NPJ Digit Med. 2020;3(1):148.
25. Shirakawa T, Sonoo T, Ogura K, Fujimori R, Hara K, Goto T, Hashimoto H, Takahashi Y, Naraba H, Nakamura K. Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development Study. J Med Int Res Med Inform. 2020;8(10):e20324.
26. Goto T, Hara K, Hashimoto K, Soeno S, Shirakawa T, Sonoo T, Nakamura K. Validation of chief complaints, medical history, medications, and physician diagnoses structured with an integrated emergency department information system in Japan: the Next Stage ER system. Acute Med Surg. 2020;7(1):e554.
27. Nakamura K, Ogura K, Nakano H, Naraba H, Takahashi Y, Sonoo T, Hashimoto H, Goto T. Disseminated Intravascular Coagulopathy Is Associated with the Outcome of Persistent Inflammation, Immunosuppression and Catabolism Syndrome. J Clin Med. 2020;9(8):E2662.
28. Nakamura K, Ogura K, Nakano H, Naraba H, Takahashi Y, Sonoo T, Hashimoto H, Morimura N. C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome. Intensive Care Med. 2020;46(3):437-443.
RESEARCH ARTICLES (TXP Research affiliated)
1. Sugaya A, Naito K, Goto T, Hagiwara Y, Okamoto H, Watase H, Hasegawa K. First-Pass Success of Video Laryngoscope Compared With Direct Laryngoscope in Intubations Performed by Residents in the Emergency Department. Cureus. 2023;15(10):e47563.
2. Hata T, Goto T, Yamanaka S, Matsumoto T, Yamamura O, Hayashi H. Prognostic value of initial serum sodium level in predicting disease severity in patients with COVID-19: A multicenter retrospective study. J Infect Chemother. 2023:S1341-321X(23)00242-8.
3. Osawa I, Goto T, Kudo D, Hayakawa M, Yamakawa K, Kushimoto S, Foster DM, Kellum JA, Doi K. Targeted therapy using polymyxin B hemadsorption in patients with sepsis: a post-hoc analysis of the JSEPTIC-DIC study and the EUPHRATES trial. Crit Care. 2023:21;27(1):245.
4. Takahashi J, Goto T, Fujitani S, Okamoto H, Hagiwara Y, Watase H, Hasegawa K; Japanese Emergency Medicine Network Investigators. Association of airway obstruction with first-pass success and intubation-related adverse events in the emergency department: multicenter prospective observational studies. Front Med (Lausanne). 2023 May 25;10:1199750.
5. Ohbe H, Goto T, Okada A, Yasunaga H. Association between COVID-19 pandemic and mental disorders in spouses of intensive care unit patients. Intensive Care Med. 2023 Jan;49(1):112-114.
6. Osawa I, Goto T, Tabuchi T, Koga HK, Tsugawa Y. Machine-learning approaches to identify determining factors of happiness during the COVID-19 pandemic: retrospective cohort study. BMJ Open. 2022 Dec 16;12(12):e054862
7. Nakamura K, Ogura K, Ohbe H, Goto T. Clinical Criteria for Persistent Inflammation, Immunosuppression, and Catabolism Syndrome: An Exploratory Analysis of Optimal Cut-Off Values for Biomarkers. J Clin Med. 2022 Sep 29;11(19):5790.
8. Liu K, Nakamura K, Kudchadkar SR, Katsukawa H, Nydahl P, Ely EW, Takahashi K, Inoue S, Nishida O. Mobilization and Rehabilitation Practice in ICUs During the COVID-19 Pandemic. J Intensive Care Med. 2022 Sep;37(9):1256-1264.
9. ISARIC Clinical Characterization Group, Garcia-Gallo E, Merson L, Kennon K, Kelly S, Citarella BW, Fryer DV, Shrapnel S, Lee J, Duque S, Fuentes YV, Balan V, Smith S, Wei J, Gonçalves BP, Russell CD, Sigfrid L, Dagens A, Olliaro PL, Baruch J, Kartsonaki C, Dunning J, Rojek A, Rashan A, Beane A, Murthy S, Reyes LF. ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19. Sci Data. 2022;9(1):454.
10. Sugiura A, Shamekhi J, Goto T, Spieker M, Iliadis C, Kavsur R, Mauri V, Kelm M, Baldus S, Tanaka T, Tabata N, Sinning JM, Weber M, Zimmer S, Nickenig G, Westenfeld R, Pfister R, Becher MU; of the Heart Failure Network Rhineland. Early response of right-ventricular function to percutaneous mitral valve repair. Clin Res Cardiol. 2022;111(8):859-868.
11. Sakamoto T, Goto T, Fujiogi M, Kawarai Lefor A. Machine learning in gastrointestinal surgery. Surg Today. 2022;52(7):995-1007.
12. Nishimoto Y, Ohbe H, Matsui H, Nakajima M, Sasabuchi Y, Goto T, Morita K, Fushimi K, Sato Y, Yasunaga H. Predictive ability of the sequential organ failure assessment score for in-hospital mortality in patients with cardiac critical illnesses: a nationwide observational study. Eur Heart J Acute Cardiovasc Care. 2022;11(4):312-321
13. Okada A, Hashimoto Y, Goto T, Yamaguchi S, Ono S, Ikeda Kurakawa K, Nangaku M, Yamauchi T, Yasunaga H, Kadowaki T. A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program. Diabetes Care. 2022;45(6):1346-1354.
14. Ohbe H, Goto T, Nakamura K, Matsui H, Yasunaga H. Development and validation of early prediction models for new-onset functional impairment at hospital discharge of ICU admission. Intensive Care Med. 2022;48(6):679-689
15. Ohbe H, Goto T, Matsui H, Fushimi K, Yasunaga H. Associations of Government-issued ICU Admission Criteria with Clinical Practices, Outcomes, and ICU Bed Occupancy. Ann Am Thorac Soc. 2022;19(6):1013-1021
16. Goto T, Kudo D, Uchimido R, Hayakawa M, Yamakawa K, Abe T, Shiraishi A, Kushimoto S. Web-based application for predicting the potential target phenotype for recombinant human thrombomodulin therapy in patients with sepsis: analysis of three multicentre registries. Crit Care. 2022;26(1):145
17. Watanabe S, Liu K, Nakamura K, Kozu R, Horibe T, Ishii K, Yasumura D, Takahashi Y, Nanba T, Morita Y, Kanaya T, Suzuki S, Lefor AK, Katsukawa H, Kotani T. Association between Early Mobilization in the ICU and Psychiatric Symptoms after Surviving a Critical Illness: A Multi-Center Prospective Cohort Study. J Clin Med. 2022;11(9):2587.
18. Liu K, Nakamura K, Kudchadkar SR, Katsukawa H, Nydahl P, Ely EW, Takahashi K, Inoue S, Nishida O.J Intensive Care Med. Mobilization and Rehabilitation Practice in ICUs During the COVID-19 Pandemic. 2022 Apr 27:8850666221097644
19. Goto T, Oka S, Okamoto H, Hagiwara Y, Watase H, Hasegawa K. Association of Number of Physician Postgraduate Years With Patient Intubation Outcomes in the Emergency Department. JAMA Netw Open. 2022;5(4) e226622
20. Konishi T, Goto T, Fujiogi M, Michihata N, Kumazawa R, Matsui H, Fushimi K, Tanabe M, Seto Y, Yasunaga H. New machine learning scoring system for predicting postoperative mortality in gastroduodenal ulcer perforation: A study using a Japanese nationwide inpatient database. Surgery. 2022;171(4):1036-1042
21. Liu K, Kotani T, Nakamura K, Chihiro T, Morita Y, Ishii K, Fujizuka K, Yasumura D, Taniguchi D, Hamagami T, Shimojo N, Nitta M, Hongo T, Akieda K, Atsuo M, Kaneko T, Sakuda Y, Andoh K, Nagatomi A, Tanaka Y, Irie Y, Kamijo H, Hanazawa M, Kasugai D, Ayaka M, Oike K, Lefor AK, Takahashi K, Katsukawa H, Ogura T. Effects of evidence-based ICU care on long-term outcomes of patients with sepsis or septic shock (ILOSS): protocol for a multicentre prospective observational cohort study in Japan. BMJ Open. 2022;12(3):e054478.
22. Hama T, Ushijima A, Goto T, Nagamatsu H, Morita N, Yoshimachi F, Ikari Y, Kobayashi Y.J Effect of Cardiac Rehabilitation on Glomerular Filtration Rate Using Serum Cystatin C Concentration in Patients With Cardiovascular Disease and Renal Dysfunction. Cardiopulm Rehabil Prev. 2022;42(2):E15-E22.
23. Miyamoto Y, Matsuyama T, Goto T, Ohbe H, Kitamura T, Yasunaga H, Ohta B. Association between age and neurological outcomes in out-of-hospital cardiac arrest patients resuscitated with extracorporeal cardiopulmonary resuscitation: a nationwide multicentre observational study. Eur Heart J Acute Cardiovasc Care. 2022;11(1):35-42.
24. Nakano H, Naraba H, Hashimoto H, Mochizuki M, Takahashi Y, Sonoo T, Ogawa Y, Matsuishi Y, Shimojo N, Inoue Y, Nakamura K. Novel protocol combining physical and nutrition therapies, Intensive Goal-directed REhabilitation with Electrical muscle stimulation and Nutrition (IGREEN) care bundle. Crit Care. 2021;25(1):415.
25. Kudo D, Goto T, Uchimido R. et al. Coagulation phenotypes in sepsis and effects of recombinant human thrombomodulin: an analysis of three multicentre observational studies. Crit Care. 2021 19;25(1):114
26. Miyamoto Y, Ohbe H, Goto T, Yasunaga H. Association between intensive care unit admission of a patient and mental disorders in the spouse: a retrospective matched-pair cohort study. J Intensive Care. 2021;29;9(1):69
27. Liu K, Nakamura K, Katsukawa H, Nydahl P, Ely EW, Kudchadkar SR, Takahashi K, Elhadi M, Gurjar M, Leong BK, Chung CR, Balachandran J, Inoue S, Lefor AK, Nishida O.Front Med (Lausanne). Implementation of the ABCDEF Bundle for Critically Ill ICU Patients During the COVID-19 Pandemic: A Multi-National 1-Day Point Prevalence Study. 2021;8:735860.
28. Liu K, Nakamura K, Katsukawa H, et al. ABCDEF bundle and supportive intensive care unit practices for patients with COVID-19 infection: An international point prevalence study -The ISIIC Study-. Crit Care Explor. 2021;3(3):e0353
29. Sugiura A, Weber M, Tabata N, Goto T, Öztürk C, Lin M, Zimmer S, Nickenig G, Sinning JM. QRS duration is a risk indicator of adverse outcomes after MitraClip. Catheter Cardiovasc Interv. 2020;98(4):E594-E601.
30. Sugiura A, Weber M, Tabata N, Goto T, Grube E, Treede H, Werner N, Nickenig G, Sinning JM. Association of heart failure duration with clinical outcomes after transcatheter mitral valve repair for functional mitral regurgitation. Catheter Cardiovasc Interv. 2021;98(3):E412-E419.
31. Osawa I, Goto T, Asami Y, Itoh N, Kaga Y, Yamamoto Y, Tsugawa Y. Physician visits and medication prescriptions for major chronic diseases during the COVID-19 pandemic in Japan: retrospective cohort study. BMJ Open. 2021;11 (7) e050938
32. Ito Y, Goto T, Huh JY, Yamamura O, Hamano T, Kikuta KI, Hayashi H. Development of a Scoring System to Predict Prolonged Post-Stroke Dysphagia Remaining at Discharge from a Subacute Care Hospital to the Home. J Stroke Cerebrovasc Dis. 2021;30(7):105804
33. Katsukawa H, Ota K, Liu K, Morita Y, Watanabe S, Sato K, Ishii K, Yasumura D, Takhamaahashi Y, Tani T, Oosaki H, Nanba T, Kozu R, Kotani T. Risk Factors of Patient-Related Safety Events during Active Mobilization for Intubated Patients in Intensive Care Units-A Multi-Center Retrospective Observational Study. J Clin Med. 2021;10(12):2607.
34. Nakamura K, Nakano H, Naraba H, Mochizuki M, Takahashi Y, Sonoo T, Hashimoto H, Abe T, Hayakawa M, Yamakawa K. Vasopressin Loading for Refractory Septic Shock: A Preliminary Analysis of a Case Series. Front Med (Lausanne). 2021;8:644195.
35. Sugiura A, Vogelhuber J, Öztürk C, Schwaibold Z, Reckers D, Goto T, Kavsur R, Becher MU, Zimmer S, Nickenig G, Weber M. PASCAL versus MitraClip-XTR edge-to-edge device for the treatment of tricuspid regurgitation: a propensity-matched analysis. Clin Res Cardiol. 2021;110(3):451-459
36. Nakamura K, Nakano H, Naraba H, Mochizuki M, Takahashi Y, Sonoo T, Hashimoto H, Morimura N. High protein versus medium protein delivery under equal total energy delivery in critical care: A randomized controlled trial. Clin Nutr. 2021;40(3):796-803.
37. Murakami H, Naraba H, Gondo T, Mochizuki M, Nakano H, Takahashi Y, Sonoo T, Hashimoto H, Nakamura K. Diagnostic Value of Serum Procalcitonin in Patients with Convulsion in Emergency Department, an Observational Study. Antibiotics (Basel). 2020;9(10):683.
38. Osawa I, Sato T, Goto T, Sonoo T, Iwai S, Nakajima S. Characteristics and subgroups of frequent emergency department users in an academic hospital in Japan. Acute Med Surg. 2020;7(1):e535
COMPETITION
People's Award (most voted)
Team Leader: GOTO Tadahiro
"Development and Validation of a Bedside-Available Machine Learning Model to Predict Discrepancies between SaO2 and SpO2"
TMDU-NUS-MIT 3rd Critical Care Datathon
Finalists
Team Leader: Osawa Itsuki
"Heterogeneity in Treatment Effects of Lower Mechanical Power"
European Society of Intensive Care Medicine datathon
1st prize
Team Leader: GOTO Tadahiro
"Optimal hemodynamic management for preventing dialysis-requiring acute kidney injury in patients with sepsis using deep reinforcement learning"
European Society of Intensive Care Medicine datathon
Best Presentation Award in Datathon
Team Leader: GOTO Tadahiro
"Heterogeneity in treatment effects of hydrocortisone for sepsis to explore potential targets"
Healthcare AI EXPO 2021
Outstanding Performance Award in Datathon
Team Leader: GOTO Tadahiro
"The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms"
Healthcare AI EXPO 2020
MISC
1. American College of Emergency Physician Scientific Assembly
Fujimori R et al. Acceptance and barriers of AI-based decision support systems in emergency departments: a quantitative and qualitative evaluation
Okuma A et al. Association between comorbid mental illness and preceding emergency department visits in unplanned admissions
Shibata J et al. Risk factors of sepsis among patients with qSOFA<2 in the emergency department
Ishizawa R et al. Characteristics of femoral fractures and accompanied fall-related injuries
Fukaguchi et al. The diagnostic accuracy of costovertebral angle tenderness in the emergency department
2. Society for Critical Care Medicine Annual Meeting
Fukuchi K, et al. Optimal Sedation Strategy for Ventilated Patients with Sepsis Using Deep Reinforcement Learning
Kamijo Y, et al. Predicting Extubation Failure Using Actual Body Weight-Adjusted Rapid Shallow Breathing Index
Yamada K, et al. Factors Differentiating Sepsis from Heatstroke in Patients with Suspected Heatstroke
Osawa I, et al. Machine Learning-Based Estimation of Potential Targets of Polymyxin-B Hemoperfusion Use for Sepsis
Shibata J, et al. Optimal Timing of Early Mobilization for ICU Patients with Sepsis: An IPW-Estimated Analysis
3. European Society of Intensive Care Medicine Annual Meeting
(International Sepsis Forum Award) Osawa I, et al. Targeted Antithrombin Use for Sepsis with Coagulopathy: A Machine Learning-Based Approach to Estimate Heterogeneous Treatment Effects
4. Annual Meeting of the Japanese Association for Emergency Medicine
(Educational Lecture) Goto Tadahiro, "Integration of Clinical Research and AI, and Toward its Application
(Best Presentation Award) Ayaka Saito et al. "Usefulness of prehospital and emergency department qSOFA in predicting sepsis
Shibata, J. et al. "Association of Vital Sign Types and Prognosis of Patients with Sepsis at the Time of Emergency Department Visit.
Shoko Soeno et al. "Association between Pulse Pressure and Acute Cardiovascular Events at Emergency Department Visits."
Shoko Soeno et al. "Characteristics of Adult Patients Revisited within 30 Days of Emergency Department Visit."
Motoki, Maiko et al. "Investigating the Impact of the Introduction of NSERmobile on the Time Spent at the Scene by Emergency Medical Services.
Kentaro Ogura et al. "Prediction of Prognosis Using Monitored ECG Waveforms Early after ICU Admission in Patients with Out-of-Hospital Cardiac Arrest.
Ryo Ishizawa et al. "A Study of Trauma Complicated by Femur Fracture Caused by Falling."
1. Machine Learning for Healthcare
Hara K, Yoshihara R, Sonoo T, Shirakawa T, Goto T, Nakamura K. Development of phenotype algorithms for common acute conditions using SHapley Additive exPlanation values.
2. The Annual Meeting of the Japanese Society of Intensive Care Medicine
(Symposium) Tadahiro Goto, "Clinical research in ICU using machine learning and its prospects
(Workshop) Liu, Keibun "ABCDEF bundle implementation rate and nutritional therapy in patients with novel coronavirus infection: an academic-led prospective international comparative study
3. Annual Meeting of the Japanese Association of Emergency Medicine
Symposium 1
Excellent Abstract Session 1
Oral, Poster, and 5 student session abstracts
Ongoing research
