Michele Salvagno

Dr. Michele Salvagno

Department of Intensive Care, ULB Université Libre de Bruxelles, Brussels, Brussels-Capital Region, Belgium
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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 February 2023 in Critical Care
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Journal Article
Open access
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Michele SalvagnoMichele Salvagno
Michele Salvagno
FTFabio Silvio Taccone
Fabio Silvio Taccone
AGAlberto Giovanni Gerli
Alberto Giovanni Gerli
This paper discusses the use of Artificial Intelligence Chatbot in scientific writing. ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language inputs. AI chatbot and ChatGPT in particular appear to be useful tools in scientific writing, assisting researchers and scientists in organizing material, generating an initial draft and/or in proofreading. There is no publication in the field of critical care medicine prepared using this approach; however, this will be a possibility in the next future. ChatGPT work should not be used as a replacement for human judgment and the output should always be reviewed by experts before being used in any critical decision-making or application. Moreover, several ethical issues arise about using these tools, such as the risk of plagiarism and inaccuracies, as well as a potential imbalance in its accessibility between high- and low-income countries, if the software becomes paying. For this reason, a consensus on how to regulate the use of chatbots in scientific writing will soon be required.

10 May 2023 in Critical Care
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Michele SalvagnoMichele Salvagno
Michele Salvagno
FTFabio Silvio Taccone
Fabio Silvio Taccone
AGAlberto Giovanni Gerli
Alberto Giovanni Gerli

Verified
Journal Article
Open access
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Michele SalvagnoMichele Salvagno
Michele Salvagno
ESElda Diletta Sterchele
Elda Diletta Sterchele
MZMario Zaccarelli
Mario Zaccarelli
Simona Mrakic-SpostaSimona Mrakic-Sposta
Simona Mrakic-Sposta
IWIan J Welsby
Ian J Welsby
Fabio Silvio TacconeFabio Silvio Taccone
Fabio Silvio Taccone
The brain’s unique characteristics make it exceptionally susceptible to oxidative stress, which arises from an imbalance between reactive oxygen species (ROS) production, reactive nitrogen species (RNS) production, and antioxidant defense mechanisms. This review explores the factors contributing to the brain’s vascular tone’s vulnerability in the presence of oxidative damage, which can be of clinical interest in critically ill patients or those presenting acute brain injuries. The brain’s high metabolic rate and inefficient electron transport chain in mitochondria lead to significant ROS generation. Moreover, non-replicating neuronal cells and low repair capacity increase susceptibility to oxidative insult. ROS can influence cerebral vascular tone and permeability, potentially impacting cerebral autoregulation. Different ROS species, including superoxide and hydrogen peroxide, exhibit vasodilatory or vasoconstrictive effects on cerebral blood vessels. RNS, particularly NO and peroxynitrite, also exert vasoactive effects. This review further investigates the neuroprotective effects of antioxidants, including superoxide dismutase (SOD), vitamin C, vitamin E, and the glutathione redox system. Various studies suggest that these antioxidants could be used as adjunct therapies to protect the cerebral vascular tone under conditions of high oxidative stress. Nevertheless, more extensive research is required to comprehensively grasp the relationship between oxidative stress and cerebrovascular tone, and explore the potential benefits of antioxidants as adjunctive therapies in critical illnesses and acute brain injuries.

2 August 2021 in Korean Journal of Anesthesiology
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ACAlessandro De Cassai
Alessandro De Cassai
LPLaura Pasin
Laura Pasin
ABAnnalisa Boscolo
Annalisa Boscolo
Michele SalvagnoMichele Salvagno
Michele Salvagno
PNPaolo Navalesi
Paolo Navalesi

Verified
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PHPierre Hadweh
Pierre Hadweh
ANAlexandre Niset
Alexandre Niset
Michele SalvagnoMichele Salvagno
Michele Salvagno
MBMejdeddine Al Barajraji
Mejdeddine Al Barajraji
SHSalim El Hadwe
Salim El Hadwe
SBsami barrit
sami barrit
Artificial intelligence (AI) and machine learning (ML) are rapidly transforming clinical decision support systems (CDSSs) in intensive care units (ICUs), where vast amounts of real-time data present both an opportunity and a challenge for timely clinical decision-making. Here, we trace the evolution of machine intelligence in critical care. This technology has been applied across key ICU domains such as early warning systems, sepsis management, mechanical ventilation, and diagnostic support. We highlight a transition from rule-based systems to more sophisticated machine learning approaches, including emerging frontier models. While these tools demonstrate strong potential to improve predictive performance and workflow efficiency, their implementation remains constrained by concerns around transparency, workflow integration, bias, and regulatory challenges. Ensuring the safe, effective, and ethical use of AI in intensive care will depend on validated, human-centered systems supported by transdisciplinary collaboration, technological literacy, prospective evaluation, and continuous monitoring.

Verified
Journal Article
Open access
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Michele SalvagnoMichele Salvagno
Michele Salvagno
GCGiacomo Coppalini
Giacomo Coppalini
Fabio Silvio TacconeFabio Silvio Taccone
Fabio Silvio Taccone
Giacomo StrapazzonGiacomo Strapazzon
Giacomo Strapazzon
SMSimona Mrakic-Sposta
Simona Mrakic-Sposta
Costantino BalestraCostantino Balestra
Costantino Balestra
Hypoxia, even at non-lethal levels, is one of the most stressful events for all aerobic organisms as it significantly affects a wide spectrum of physiological functions and energy production. Aerobic organisms activate countless molecular responses directed to respond at cellular, tissue, organ, and whole-body levels to cope with oxygen shortage allowing survival, including enhanced neo-angiogenesis and systemic oxygen delivery. The benefits of hypoxia may be evoked without its detrimental consequences by exploiting the so-called normobaric oxygen paradox. The intermittent shift between hyperoxic-normoxic exposure, in addition to being safe and feasible, has been shown to enhance erythropoietin production and raise hemoglobin levels with numerous different potential applications in many fields of therapy as a new strategy for surgical preconditioning aimed at frail patients and prevention of postoperative anemia. This narrative review summarizes the physiological processes behind the proposed normobaric oxygen paradox, focusing on the latest scientific evidence and the potential applications for this strategy. Future possibilities for hyperoxic-normoxic exposure therapy include implementation as a synergistic strategy to improve a patient’s pre-surgical condition, a stimulating treatment in critically ill patients, preconditioning of athletes during physical preparation, and, in combination with surgery and conventional chemotherapy, to improve patients’ outcomes and quality of life.