A5027020907- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Cardiac, Anesthesia and Surgical Outcomes
- Sepsis Diagnosis and Treatment
- Artificial Intelligence in Healthcare and Education
- Cardiac Arrest and Resuscitation
- Health Sciences Research and Education
- Intensive Care Unit Cognitive Disorders
- Meta-analysis and systematic reviews
- Hemodynamic Monitoring and Therapy
- Dialysis and Renal Disease Management
- Health Systems, Economic Evaluations, Quality of Life
- Venous Thromboembolism Diagnosis and Management
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Heparin-Induced Thrombocytopenia and Thrombosis
- Cardiovascular Function and Risk Factors
- Innovations in Medical Education
- Mechanical Circulatory Support Devices
- Respiratory Support and Mechanisms
- Blood Pressure and Hypertension Studies
- Pharmacological Effects and Toxicity Studies
- Health and Medical Research Impacts
- Pulmonary Hypertension Research and Treatments
- Academic Writing and Publishing
Kyoto University
2013-2024
Sakai Municipal Hospital
2014-2024
Santen (Japan)
2022
Kyoto Min-iren Asukai Hospital
2022
The Japanese Society of Intensive Care Medicine
2021
Ebara (Japan)
2016
Abstract Background The Acute Physiology and Chronic Health Evaluation (APACHE) III-j model is widely used to predict mortality in Japanese intensive care units (ICUs). Although the model’s discrimination excellent, its calibration poor. APACHE overestimates risk of death, making evaluation healthcare quality inaccurate. This study aimed improve develop a Japan Risk Death (JROD) for benchmarking purposes. Methods A retrospective analysis was conducted using national clinical registry ICU...
The cardiothoracic ratio (CTR) is a non-invasive left ventricular hypertrophy index. However, whether CTR associates with cardiovascular disease (CVD) and mortality in hemodialysis (HD) populations unclear. Using Mineral Bone disorder Outcomes Study for Japanese CKD Stage 5D Patients (MBD-5D Study) subcohort, 2266 prevalent HD patients (age 62.8 years, female 38.0%, duration 9.4 years) secondary hyperparathyroidism (SHPT) whose baseline had been recorded were selected. We evaluated...
Cardiac surgery is performed worldwide, and acute kidney injury (AKI) following cardiac a risk factor for mortality. However, the optimal blood pressure target to prevent AKI after remains unclear. We aimed investigate whether relative hypotension other hemodynamic parameters are associated with subsequent progression.We retrospectively enrolled adult patients admitted 14 intensive care units elective between January December 2018. defined mean perfusion (MPP) as difference arterial (MAP)...
Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the likelihood of coronavirus disease (COVID-19) based on scores ranging from 0 to 1. However, Ali-M3 has not been externally validated. Our aim was evaluate accuracy for detecting COVID-19 discuss its clinical value. We evaluated external validity using sequential Japanese sampling data. In this retrospective cohort study, infection probabilities 617 symptomatic patients were determined Ali-M3....
We developed and validated a machine learning diagnostic model for the novel coronavirus (COVID-19) disease, integrating artificial-intelligence-based computed tomography (CT) imaging clinical features.We conducted retrospective cohort study in 11 Japanese tertiary care facilities that treated COVID-19 patients. Participants were tested using both real-time reverse transcription polymerase chain reaction (RT-PCR) chest CTs between January 1 May 30, 2020. chronologically split dataset each...
Desire to attend graduate school for academic research training following the mandatory two-year clinical internship is unknown among young Japanese physicians who work at community hospitals after their internship. The aim of this study determine opinions and factors regarding pursuing higher education through internship.This cross-sectional survey was conducted working We examined percentage considering school, planned timing field enrollment those wanting enroll, reasons not continuing...
Abstract Systematic reviews (SRs) are a critical component of evidence-based medicine, but the process screening titles and abstracts is time-consuming. This study aimed to develop externally validate method using large language models classify for diagnostic test accuracy (DTA) systematic reviews, thereby reducing human workload. We used previously collected dataset developing DTA abstract classifiers applied prompt engineering. developed an optimized meta-prompt Generative Pre-trained...
Abstract Since the start of coronavirus disease 2019 (COVID-19) pandemic, it has remained unknown whether conventional risk prediction tools used in intensive care units are applicable to patients with COVID-19. Therefore, we assessed performance established models using Japanese Intensive Care database. Discrimination and calibration were poor. Revised needed assess clinical severity COVID-19 monitor healthcare quality ICUs overwhelmed by
Abstract Background Research engagement contributes to the improvement of patient care. A systematic review is a suitable first scholarly activity because it entails summarization publicly available data and usually requires neither rigorous ethical nor research funding. Methods This study aimed develop model workshop for healthcare staff acquire skills in creating protocols based on their own clinical questions at teaching hospitals. We used an action method create four hospitals Japan from...
ジスチグミン臭化物10 mg/dayを1年間にわたり内服し，3ヶ月以上続く難治性の下痢や嘔吐など消化器症状のため入院したが，ジスチグミン臭化物中毒によるコリン作動性クリーゼを発症し，救命し得なかった一症例を経験した。背景に肝硬変があり，慢性的にコリンエステラーゼ値が低値であったため，ジスチグミン臭化物中毒の診断に時間がかかった。コリンエステラーゼ残存率は約7ヶ月前から異常低値であり，難治性の消化器症状が出現した時期と合わせて慢性中毒と考えた。難治性の消化器症状およびコリンエステラーゼ値が異常低値を示す高齢者では，ジスチグミン臭化物の中毒を疑い，早期から集中治療の対象とするのが望ましい。
Many studies have been conducted on ventilator-associated complications (VACs) in patients with coronavirus 2019 (COVID-19). However, these studies, the causative organisms were similar, and there no reports VAC corresponding Corynebacteria. Coryneforms are frequently cultured cases of polymicrobial infections usually considered contaminants respiratory specimens. Corynebacterium pseudodiphtheriticum or C. striatum is known to be a pathogen lower tract infections. We report three VAC,...
Abstract There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was develop machine‐learning‐based classifiers through an open competition. We prepared a dataset of obtained searches 11 in different clinical areas. As the reference standard, we lists that required manual full‐text review. randomly splitted datasets into train set, public and private set....
Introduction Evidence-based medicine (EBM) competency is crucial for healthcare professionals; however, validated tools to assess EBM skills in Japanese are scarce. This study aimed develop and validate a version of the Assessing Competency (ACE) tool. Methods We translated ACE tool into Japanese, following international standards, distributed it online 99 professionals students. The participants completed demographic questions A subset also retest Fresno test. Internal consistency was...
Background: We aimed to develop and externally validate a novel machine learning model that can classify CT image findings as positive or negative for SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR).