Research graph
References from Glucocorticoid therapy for sepsis in the AI era: a survey on current and future approaches. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1001/jama.2016.0287
10.1001/jama.2016.0287 · External reference
10.1016/j.ccc.2008.12.003
10.1016/j.ccc.2008.12.003 · External reference
10.1016/s0140-6736(19)32989-7
10.1016/s0140-6736(19)32989-7 · External reference
Unresolved reference
External reference
Sepsis perspective 2020
10.1093/infdis/jiaa220 · 2020 · External reference
Sepsis-induced immunosuppression: mechanisms, diagnosis and current treatment options
2022 · External reference
Corticosteroids for treating sepsis
2015 · External reference
What is the role of steroids for septic shock in 2021?
10.1055/s-0041-1733900 · 2021 · External reference
Low-dose corticosteroids for adult patients with septic shock: a systematic review with meta-analysis and trial sequential analysis
10.1007/s00134-018-5197-6 · 2018 · External reference
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
10.1038/s41591-022-01772-9 · 2022 · External reference
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
10.1038/s41571-021-00560-7 · 2022 · External reference
10.1093/jnci/djy222
10.1093/jnci/djy222 · External reference
10.2196/18599
10.2196/18599 · External reference
Molecular genetics of hypothalamic-pituitary-adrenal axis activity and function
10.1111/j.1749-6632.2010.05902.x · 2011 · External reference
Anti-inflammatory actions of Caesalpinin M2 in experimental colitis as a selective glucocoricoid receptor modulator
10.1016/j.bcp.2018.02.003 · 2018 · External reference
Protective effects of glucocorticoid on liver injury in a rat sepsis model
2019 · External reference
Use of glucocorticoids in patients with COPD exacerbations in China: a retrospective observational study
10.1177/1753466618769514 · 2018 · External reference
Low-dose corticosteroids in septic shock: has the pendulum shifted?
10.1093/ajhp/zxz017 · 2019 · External reference
What’s new in sepsis?
10.1097/01.ccn.0000433802.04295.d1 · 2013 · External reference
10.1096/fj.01-0245com
10.1096/fj.01-0245com · External reference
Glucocorticoid resistance as a major drive in sepsis pathology
10.1016/j.cytogfr.2017.04.002 · 2017 · External reference
Are corticosteroids beneficial for sepsis and septic shock? Based on Pooling Analysis of 16 Studies
10.3389/fphar.2019.00714 · 2019 · External reference
Corticosteroids for treating sepsis in children and adults
2019 · External reference
Steroids in the treatment of clinical septic shock
10.1097/00000658-197609000-00011 · 1976 · External reference
The effects of high-dose corticosteroids in patients with septic shock. A prospective, controlled study
10.1056/nejm198411013111801 · 1984 · External reference
A controlled clinical trial of high-dose methylprednisolone in the treatment of severe sepsis and septic shock
10.1056/nejm198709103171101 · 1987 · External reference
Effect of high-dose glucocorticoid therapy on mortality in patients with clinical signs of systemic sepsis
10.1056/nejm198709103171102 · 1987 · External reference
Detrimental effects of high-dose methylprednisolone sodium succinate on serum concentrations of hepatic and renal function indicators in severe sepsis and septic shock. The Methylprednisolone Severe Sepsis Study Group
10.1097/00003246-199302000-00008 · 1993 · External reference
10.1097/00003246-199804000-00010
10.1097/00003246-199804000-00010 · External reference
Low-dose hydrocortisone improves shock reversal and reduces cytokine levels in early hyperdynamic septic shock
10.1097/01.ccm.0000186370.78639.23 · 2005 · External reference
Effect of treatment with low doses of hydrocortisone and fludrocortisone on mortality in patients with septic shock
10.1001/jama.288.7.862 · 2002 · External reference
Adrenal insufficiency in patients with cirrhosis and septic shock: effect of treatment with hydrocortisone on survival
10.1002/hep.21352 · 2006 · External reference
Stress doses of hydrocortisone reverse hyperdynamic septic shock: a prospective, randomized, double-blind, single-center study
10.1097/00003246-199904000-00025 · 1999 · External reference
Hydrocortisone therapy for patients with septic shock
10.1056/nejmoa071366 · 2008 · External reference
Low-dose hydrocortisone in patients with cirrhosis and septic shock: a randomized controlled trial
10.1503/cmaj.090707 · 2010 · External reference
Time course of organ failure in patients with septic shock treated with hydrocortisone: results of the Corticus study
10.1007/s00134-011-2334-x · 2011 · External reference
10.1056/nejmoa1705835
10.1056/nejmoa1705835 · External reference
Hydrocortisone compared with placebo in patients with septic shock satisfying the Sepsis-3 Diagnostic Criteria and APROCCHSS study inclusion criteria: a post Hoc analysis of the ADRENAL Trial
10.1097/aln.0000000000002955 · 2019 · External reference
Effect of mode of hydrocortisone administration on glycemic control in patients with septic shock: a prospective randomized trial
10.1186/cc5696 · 2007 · External reference
Impact of bolus application of low-dose hydrocortisone on glycemic control in septic shock patients
10.1007/s00134-007-0540-3 · 2007 · External reference
Physiological-dose steroid therapy in sepsis [ISRCTN36253388]
10.1186/cc1498 · 2002 · External reference
Effect of low doses of corticosteroids in septic shock patients with or without early acute respiratory distress syndrome
10.1097/01.ccm.0000194723.78632.62 · 2006 · External reference
Hydrocortisone plus Fludrocortisone for Adults with Septic Shock
10.1056/nejmoa1705716 · 2018 · External reference
Effect of hydrocortisone on development of shock among patients with severe sepsis: The HYPRESS randomized clinical trial
10.1001/jama.2016.14799 · 2016 · External reference
Low-dose hydrocortisone treatment for patients with septic shock: a pilot study comparing 3days with 7days
10.1111/j.1440-1843.2011.02018.x · 2011 · External reference
Immunologic and hemodynamic effects of ‘low-dose’ hydrocortisone in septic shock: a double-blind, randomized, placebo-controlled, crossover study
10.1164/rccm.200205-446oc · 2003 · External reference
Effect of ascorbic acid, corticosteroids, and thiamine on organ injury in septic shock: the ACTS randomized clinical trial
10.1001/jama.2020.11946 · 2020 · External reference
Effect of Vitamin C, Thiamine, and Hydrocortisone on Ventilator- and Vasopressor-Free Days in Patients With Sepsis: The VICTAS Randomized Clinical Trial
10.1001/jama.2020.24505 · 2021 · External reference
10.1164/rccm.201807-1419oc
10.1164/rccm.201807-1419oc · External reference
External corroboration that corticosteroids may be harmful to septic shock endotype A patients
10.1097/ccm.0000000000004709 · 2021 · External reference
The relationship between adrenocortical candidate gene expression and clinical response to hydrocortisone in patients with septic shock
10.1007/s00134-021-06464-5 · 2021 · External reference
Surviving Sepsis Campaign guidelines for management of severe sepsis and septic shock
10.1007/s00134-004-2210-z · 2004 · External reference
Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock: 2008
10.1007/s00134-007-0934-2 · 2008 · External reference
10.1007/s00134-012-2769-8
10.1007/s00134-012-2769-8 · External reference
10.1007/s00134-017-4683-6
10.1007/s00134-017-4683-6 · External reference
10.1007/s00134-021-06506-y
10.1007/s00134-021-06506-y · External reference
How we escalate vasopressor and corticosteroid therapy in patients with septic shock
10.1016/j.chest.2022.09.019 · 2023 · External reference
Introduction to artificial intelligence in medicine
10.1080/13645706.2019.1575882 · 2019 · External reference
History of artificial intelligence in medicine
10.1016/j.gie.2020.06.040 · 2020 · External reference
Artificial Intelligence in Health Care: A Report From the National Academy of Medicine
10.1001/jama.2019.21579 · 2020 · External reference
Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection
10.1148/radiol.2018172986 · 2018 · External reference
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
10.1016/j.compmedimag.2020.101812 · 2021 · External reference
10.1007/s11030-021-10237-z
10.1007/s11030-021-10237-z · External reference
A survey on mathematical, machine learning and deep learning models for COVID-19 Transmission and Diagnosis
10.1109/rbme.2021.3069213 · 2022 · External reference
Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine
10.1002/cac2.12215 · 2021 · External reference
Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011-2021)
10.3390/s21217034 · 2021 · External reference
10.1016/j.compbiomed.2017.08.015
10.1016/j.compbiomed.2017.08.015 · External reference
Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study
10.1515/cclm-2022-0713 · 2023 · External reference
An intelligent warning model for early prediction of cardiac arrest in sepsis patients
10.1016/j.cmpb.2019.06.010 · 2019 · External reference
[Construction of a predictive model for early acute kidney injury risk in intensive care unit septic shock patients based on machine learning]
2022 · External reference
Machine learning for the prediction of acute kidney injury in patients with sepsis
10.1186/s12967-022-03364-0 · 2022 · External reference
Machine learning models to predict in-hospital mortality in septic patients with diabetes
10.3389/fendo.2022.1034251 · 2022 · External reference
Identification of two robust subclasses of sepsis with both prognostic and therapeutic values based on machine learning analysis
10.3389/fimmu.2022.1040286 · 2022 · External reference
Comprehensive characterization of costimulatory molecule gene for diagnosis, prognosis and recognition of immune microenvironment features in sepsis
10.1016/j.clim.2022.109179 · 2022 · External reference
10.1007/s00134-019-05872-y
10.1007/s00134-019-05872-y · External reference
Use of IFNγ/IL10 Ratio for Stratification of Hydrocortisone Therapy in Patients With Septic Shock
10.3389/fimmu.2021.607217 · 2021 · External reference
Assessment of machine learning to estimate the individual treatment effect of corticosteroids in septic shock
10.1001/jamanetworkopen.2020.29050 · 2020 · External reference
Machine learning and murine models explain failures of clinical sepsis trials
10.1097/ta.0000000000003691 · 2022 · External reference
Learning optimal treatment strategies for sepsis using offline reinforcement learning in continuous space
2022 · External reference
Development of a reinforcement learning algorithm to optimize corticosteroid therapy in critically Ill patients with sepsis
10.3390/jcm12041513 · 2023 · External reference
Machine-learning-derived sepsis bundle of care
10.1007/s00134-022-06928-2 · 2023 · External reference
10.1056/nejmoa1415236
10.1056/nejmoa1415236 · External reference
Artificial intelligence and deep learning: the future of medicine and medical practice
2019 · External reference
Artificial intelligence in medicine: present and future
2022 · External reference
Biomarkers of inflammation and the etiology of sepsis
10.1042/bst20190029 · 2020 · External reference
10.1016/j.ebiom.2022.104318
10.1016/j.ebiom.2022.104318 · External reference
10.1038/s41574-019-0185-7
10.1038/s41574-019-0185-7 · External reference
An evidence based approach to individualising treatment
10.1136/bmj.311.7016.1356 · 1995 · External reference
Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects
10.1136/bmj.k4245 · 2018 · External reference
Can overall results of clinical trials be applied to all patients?
10.1016/s0140-6736(95)90120-5 · 1995 · External reference
Limitations of applying summary results of clinical trials to individual patients: the need for risk stratification
10.1001/jama.298.10.1209 · 2007 · External reference
Hydrocortisone in septic shock: all the questions answered?
10.21037/jtd.2018.04.120 · 2018 · External reference
Implications of heterogeneity of treatment effect for reporting and analysis of randomized trials in critical care
10.1164/rccm.201411-2125cp · 2015 · External reference
10.1016/j.tibtech.2019.12.021
10.1016/j.tibtech.2019.12.021 · External reference
Should Health Care Demand Interpretable Artificial Intelligence or Accept ‘Black Box’ Medicine?
10.7326/m19-2548 · 2020 · External reference
10.1016/j.cell.2019.04.016
10.1016/j.cell.2019.04.016 · External reference
10.1007/978-3-030-28954-6
10.1007/978-3-030-28954-6 · External reference
10.1038/s41591-018-0300-7
10.1038/s41591-018-0300-7 · External reference
Overfitting and use of mismatched cohorts in deep learning models: preventable design limitations
10.1164/rccm.201802-0350le · 2018 · External reference
Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
10.1007/s00134-021-06446-7 · 2021 · External reference
Hydrocortisone plus Fludrocortisone for adults with septic shock
10.1056/nejmoa1705716 · 2018 · External reference
