37 results on '"Lipsky, Ari"'
Search Results
2. Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults
3. Injuries from civilian under-vehicle improvised explosive devices: an analysis of the Israeli National Trauma Registry during the years 2006–2020
4. Indications for prehospital intubation among severely injured children and the prevalence of significant traumatic brain injury among those intubated due to impaired level of consciousness
5. Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults
6. 462: USING ARTIFICIAL INTELLIGENCE TO PREDICT WHICH PATIENTS ARE NOT GOING TO DETERIORATE
7. 460: DEVELOPMENT OF AI-BASED MODELS FOR PREDICTING LIFE-THREATENING EVENTS IN CRITICALLY ILL PATIENTS
8. 171: USING ARTIFICIAL INTELLIGENCE MODELS TO PREDICT DETERIORATION IN CRITICALLY ILL COVID-19 PATIENTS
9. The Israel Defense Forces Trauma Registry: 22 years of point-of-injury data
10. Outcomes of basic versus advanced prehospital life support in severe pediatric trauma
11. Prehospital Tranexamic Acid Administration in Pediatric Trauma Patients: A Propensity-Matched Analysis of the Israeli Defense Forces Registry
12. 29 - Acute Pelvic Pain
13. 1500: SEPSIS PREDICTION USING BIG DATA ANALYTICS-BASED TOOLS
14. A Unique Program to Incorporate Volunteers Into a Nationwide Emergency Medical System: Maximizing Preparedness for a Mass Casualty Incident
15. Indications for prehospital intubation among severely injured children and the prevalence of significant traumatic brain injury among those intubated due to impaired level of consciousness.
16. Mobilizing emergency medical services for mass COVID-19 vaccine administration: The Israeli experience
17. Causal Directed Acyclic Graphs
18. The association between the degree of fever as measured in the emergency department and clinical outcomes of hospitalized adult patients
19. Prevalence of significant traumatic brain injury among patients intubated in the field due to impaired level of consciousness
20. 462: USING ARTIFICIAL INTELLIGENCE TO PREDICT WHICH PATIENTS ARE NOT GOING TO DETERIORATE
21. 460: DEVELOPMENT OF AI-BASED MODELS FOR PREDICTING LIFE-THREATENING EVENTS IN CRITICALLY ILL PATIENTS
22. 171: USING ARTIFICIAL INTELLIGENCE MODELS TO PREDICT DETERIORATION IN CRITICALLY ILL COVID-19 PATIENTS
23. Blind tracheal intubation through iLTS-D versus direct laryngoscopy by novice intubators during manual in-line neck stabilization: A randomized controlled trial
24. Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit
25. Trends in combat casualty care following the publication of clinical practice guidelines
26. Contributors
27. Injuries associated with the use of ejection seats: a systematic review, meta-analysis and the experience of the Israeli Air Force, 1990-2019
28. Cognitive and physical performance are well preserved following standard blood donation: A noninferiority, randomized clinical trial
29. Anxiety and Suicidality in a Hospitalized Patient with COVID-19 Infection
30. 391: FOCUSING ADVANCED CLINICIANS ON THE MORE CRITICALLY ILL PATIENTS USING ARTIFICIAL INTELLIGENCE
31. Time from triage to initial physician assessment: A 5-year retrospective analysis
32. Chapter 30 - Acute Pelvic Pain
33. The Performance of Fixed-Horizon, Look-Ahead Procedures Compared to Backward Induction in Bayesian Adaptive-Randomization Decision-Theoretic Clinical Trial Design
34. Prehospital Blood Transfusion During Aeromedical Evacuation of Trauma Patients in Israel: The IDF CSAR Experience
35. Prehospital use of hemostatic dressings by the Israel Defense Forces Medical Corps
36. Contributors
37. The contribution of on-call, volunteer first responders to mass-casualty terrorist attacks in Israel.
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