81 results match your criteria: "Intensive Care and Prehospital Emergency.[Affiliation]"

The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives.

J Med Syst

February 2024

Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, Parma, 43126, Italy.

Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs) represent sophisticated models engineered to comprehend, generate, and manipulate text resembling human language on an extensive scale. They are transformer-based deep learning architectures, obtained through the scaling of model size, pretraining of corpora, and computational resources. The potential healthcare applications of these models primarily involve chatbots and interaction systems for clinical documentation management, and medical literature summarization (Biomedical NLP).

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Venovenous bypass (VVB) use during liver transplantation (LT) is notably variable among the centres and it is actually restricted to surgically complex cases, severely unstable recipients or grafts from high-risk donors. Historically, VVB was associated with the classical LT with caval cross clamping, while not much is known about the safety of this technique applied to piggyback LT. This retrospective observational study evaluated the effects of VVB applied to piggyback LT on mortality, hospital outcomes, postoperative graft and other organ dysfunction.

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Trauma teams play a vital role in providing prompt and specialized care to trauma patients. This study aims to provide a comprehensive description of the presence and organization of trauma teams in Italy. A nationwide cross-sectional epidemiological study was conducted between July and October 2022, involving interviews with 137 designated trauma centers.

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Between human and AI: assessing the reliability of AI text detection tools.

Curr Med Res Opin

March 2024

Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.

Objective: Large language models (LLMs) such as ChatGPT-4 have raised critical questions regarding their distinguishability from human-generated content. In this research, we evaluated the effectiveness of online detection tools in identifying ChatGPT-4 vs human-written text.

Methods: A two texts produced by ChatGPT-4 using differing prompts and one text created by a human author were analytically assessed using the following online detection tools: GPTZero, ZeroGPT, Writer ACD, and Originality.

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Background: The early management of polytrauma patients with traumatic spinal cord injury (tSCI) is a major challenge. Sparse data is available to provide optimal care in this scenario and worldwide variability in clinical practice has been documented in recent studies.

Methods: A multidisciplinary consensus panel of physicians selected for their established clinical and scientific expertise in the acute management of tSCI polytrauma patients with different specializations was established.

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Out-of-hospital cardiac arrest (OHCA) is a major public health concern with low survival rates. First responders (FRs) and public access defibrillation (PAD) programs can significantly improve survival, although barriers to response activation persist. The Emilia Romagna region in Italy has introduced a new system, the DAE RespondER App, to improve the efficiency of FR dispatch in response to OHCA.

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Introduction: Guidelines recommend teaching resuscitation from school age; however, little is known about the best methods to provide it. We devised a blended learning program for primary and secondary students (Kids Save Lives - KSL) consisting of brief lectures, practical training with mannequins, and virtual reality. We aimed to evaluate its impact on students' attitudes towards intervening during cardiac arrest and their knowledge about basic life support.

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Objectives: The non-oncological population is relatively under-represented among end-of-life (EOL) patients managed by palliative care (PC) services, and the effects of different PC delivery models are understudied in this population.This retrospective observational study on routinely collected data aimed at evaluating the effects of the extension from workday-only to 24/7 mixed hands-on and advisory home PC service on emergency department (ED) access and emergency medical services (EMS) interventions needed by non-oncological patients during their last 90 days of life, and their probability to die in hospital.

Methods: A before-and-after design was adopted comparing preimplementation and postimplementation periods (2018-2019 and 2021-22).

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Contribution towards a fair innovation.

Minerva Anestesiol

March 2024

Division of Anesthesiology, Critical Care and Pain Medicine, Department of Medicine and Surgery, University of Parma, Parma, Italy.

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Background: Evolving research on resuscitative endovascular balloon occlusion of the aorta (REBOA) as an adjunct treatment for out-of-hospital cardiac arrest mandates uniform recording and reporting of data. A consensus on which variables need to be collected may enable comparing and merging data from different studies. We aimed to establish a standard set of variables to be collected and reported in future REBOA studies in out-of-hospital cardiac arrest.

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Importance: While the relationship between persistent elevations in intracranial pressure (ICP) and poorer outcomes is well established for patients with traumatic brain injury (TBI), there is no consensus on how ICP measurements should drive treatment choices, and the effectiveness of ICP monitoring remains unknown.

Objective: To evaluate the effectiveness of ICP monitoring on short- and mid-term outcomes of patients with TBI.

Design, Setting, And Participants: CREACTIVE was a prospective cohort study that started in March 2014 and lasted 5 years.

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Background: Focused assessment sonography for trauma (FAST) performed in the prehospital setting may improve trauma care by influencing treatment decisions and reducing time to definitive care, but its accuracy and benefits remain uncertain. This systematic review evaluated the diagnostic accuracy of prehospital FAST in detecting hemoperitoneum and its effects on prehospital time and time to definitive diagnosis or treatment.

Methods: We systematically searched PubMed, Embase, and Cochrane library up to November 11th, 2022.

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Background: First responder programs were developed to speed up access to cardiopulmonary resuscitation and defibrillation for out-of-hospital cardiac arrest (OHCA) victims. Little is known about the factors influencing the efficiency of the first responders arriving before the EMS and, therefore, effectively contributing to the chain of survival.

Objectives: The primary objective of this retrospective observational study was to identify the factors associated with first responders' arrival before EMS in the context of a regional first responder program arranged to deliver automated external defibrillators on suspected OHCA scenes.

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Background: Severe traumatic brain-injured (TBI) patients should be primarily admitted to a hub trauma center (hospital with neurosurgical capabilities) to allow immediate delivery of appropriate care in a specialized environment. Sometimes, severe TBI patients are admitted to a spoke hospital (hospital without neurosurgical capabilities), and scarce data are available regarding the optimal management of severe isolated TBI patients who do not have immediate access to neurosurgical care.

Methods: A multidisciplinary consensus panel composed of 41 physicians selected for their established clinical and scientific expertise in the acute management of TBI patients with different specializations (anesthesia/intensive care, neurocritical care, acute care surgery, neurosurgery and neuroradiology) was established.

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