Results 41 to 50 of about 1,258,685 (277)

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units [PDF]

European Conference on Artificial Intelligence 325(2020) 1826-1833, 2020
Many areas of research are characterised by the deluge of large-scale highly-dimensional time-series data. However, using the data available for prediction and decision making is hampered by the current lag in our ability to uncover and quantify true interactions that explain the outcomes.We are interested in areas such as intensive care medicine ...
arxiv   +1 more source

Influence of contrast media on renal function and outcomes in patients with sepsis-associated acute kidney injury: a propensity-matched cohort study

Critical Care, 2019
Background Recent studies have suggested a low potential risk for contrast medium-induced kidney injury in patients with relatively normal renal function.
Yuya Goto, Kansuke Koyama, Shinshu Katayama, Ken Tonai, Jun Shima, Toshitaka Koinuma, Shin Nunomiya   +6 more
doaj   +1 more source

Accuracy of two pulse-oximetry measurements for INTELLiVENT-ASV in mechanically ventilated patients: a prospective observational study

Scientific Reports, 2021
Recently, maintaining a certain oxygen saturation measured by pulse oximetry (SpO2) range in mechanically ventilated patients was recommended; attaching the INTELLiVENT-ASV to ventilators might be beneficial. We evaluated the SpO2 measurement accuracy of
Shinshu Katayama, Jun Shima, Ken Tonai, Kansuke Koyama, Shin Nunomiya   +4 more
doaj   +1 more source

Exercise rehabilitation for recovery from critical illness (Protocol) [PDF]

, 2010
Queen Margaret University, Edinburgh, UK. As part of an ongoing research education programme.This is the protocol for a review and there is no abstract.
Geneen, L, Mercer, T, Salisbury, Lisa, Thomson, C, Walsh, Timothy   +4 more
core   +1 more source

Cerebral perfusion in sepsis [PDF]

, 2010
This article is one of ten reviews selected from the Yearbook of Intensive Care and Emergency Medicine 2010 (Springer Verlag) and co-published as a series in Critical Care.
B.F. Matta, C. Szabo, C. Terborg, C. Thees, C. Zauner, C.L. Sprung, D. Freyer, D. Pfister, D. Pfister, D. Pfister, D.L. Bowton, I. Ari, J. Roth, J.A. Avontuur, J.J. Alexander, J.J. Marshall, K. Moller, L. Edvinsson, L.A. Eidelman, L.A. Steiner, M. Booke, M. Ebersoldt, M.C. Papadopoulos, M.C. Papadopoulos, M.L. Wong, N. Nagaratnam, P. Pytel, R.A. Bowie, S. Hofer, S. Moncada, S. Siami, S.M. Smith, S.P. Strebel, T. Maekawa, T. Sharshar, T. Sharshar, T. Sharshar, T. Sharshar, V. Eggers   +38 more
core   +4 more sources

Biomarker profiles of coagulopathy and alveolar epithelial injury in acute respiratory distress syndrome with idiopathic/immune-related disease or common direct risk factors

Critical Care, 2019
Background Altered coagulation and alveolar injury are the hallmarks of acute respiratory distress syndrome (ARDS). However, whether the biomarkers that reflect pathophysiology differ depending on the etiology of ARDS has not been examined.
Kansuke Koyama, Shinshu Katayama, Ken Tonai, Jun Shima, Toshitaka Koinuma, Shin Nunomiya   +5 more
doaj   +1 more source

Predictive factors for successful INTELLiVENT-ASV® use: a retrospective observational study

BMC Anesthesiology, 2020
Background INTELLiVENT-ASV® (I-ASV) is a closed-loop ventilation mode that automatically controls the ventilation settings. Although a number of studies have reported the usefulness of I-ASV, the clinical situations in which it may be useful have not yet
Shinshu Katayama, Ken Tonai, Jun Shima, Kansuke Koyama, Shin Nunomiya   +4 more
doaj   +1 more source

Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation [PDF]

, 2021
The rapid progress in clinical data management systems and artificial intelligence approaches enable the era of personalized medicine. Intensive care units (ICUs) are the ideal clinical research environment for such development because they collect many clinical data and are highly computerized environments.
arxiv   +1 more source

Prophylactic noninvasive respiratory support in the immediate postoperative period after cardiac surgery - a systematic review and network meta-analysis

BMC Pulmonary Medicine, 2023
Background Noninvasive respiratory support has been increasingly applied in the immediate postoperative period to prevent postoperative pulmonary complications (PPCs). However, the optimal approach remains uncertain. We sought to evaluate the comparative
Xiaoyang Zhou, Jianneng Pan, Hua Wang, Zhaojun Xu, Long Zhao, Bixin Chen   +5 more
doaj   +1 more source

The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence [PDF]

arXiv, 2023
Machine learning and deep learning are two subsets of artificial intelligence that involve teaching computers to learn and make decisions from any sort of data. Most recent developments in artificial intelligence are coming from deep learning, which has proven revolutionary in almost all fields, from computer vision to health sciences.
arxiv