Search Tag: AI
The-internet-rise-of-ai-in-ccm-opportunities-threats-and-the-practitioner-patient-relationship
2023 30 Nov
This article explores how pervasive and persuasive the internet is in current critical care practice, offers insights into how healthcare professionals, patients and families can critically appraise where information comes from and its content producers and discusses the opportunities and threats posed by AI on the physicians/team-patient/family...Read more
Artificial-intelligence-generated-manuscripts
2023 22 Aug
The healthcare industry is seeing remarkable technological progress. Several new tools have emerged that could significantly influence scientific research. One notable tool is RTutor, which combines the R programming language with GPT-3. This integration allows users to create R code and conduct analyses using plain language explanations of data and...Read more
Artificial-intelligence-and-the-future-of-publishing
2023 11 Jul
Artificial intelligence (AI) can revolutionise medical publishing. The advantages of AI can be observed in three key areas: content, peer review, and post-publication. AI can enhance each process's speed, accuracy, and efficiency. AI can streamline content creation. It can assist researchers in analysing vast amounts of data, extracting relevant...Read more
Application-of-artificial-intelligence-in-the-icu
2021 06 Jul
Artificial Intelligence (AI) holds great promise in critical care. Vast amounts of data are regularly collected in intensive care units, making ICUs the perfect environment for deploying machine-learning techniques. AI in ICUs can have several applications. For example, when determining the short and long-term outcomes of different interventions,...Read more
Rethinking-critical-care-use-and-challenges-of-artificial-intelligence
2021 22 Feb
Why digitalisation of intensive care medicine means less rather than more data Intensive Care Medicine is generating an amount of data that is hardly analysable by humans. Digitalising and using artificial intelligence has to focus on providing less rather than more data. Introduction - AI in Intensive Care Medicine: Ghost or Glimmer...Read more
Cardiorespiratory-compromise-in-the-perioperative-environment-prediction-quality-analytics-ai
2021 22 Feb
Perioperative cardiorespiratory compromise is common and goes largely undetected. Predictive cardiorespiratory indices can help in early detection of harmful deviations and guide preemptive treatment. Using continuous cardiorespiratory monitoring coupled with these tools, we now know which patients are likely to decompensate both within and outside...Read more
Clinical-trials-of-artificial-intelligence
2020 26 Feb
With the introduction of computers and advanced technology, the majority of patient data is now captured digitally. And this has allowed opportunities for machine learning. Today, machine learning is frequently used to make diagnosis or predict disease outcomes, optimise treatment decisions and determine the prognosis of patients. While there...Read more
Will-artificial-intelligence-change-icu-practice
2020 15 Jan
An AI-enabled ICU is coming in the not-too-distant future, but it requires strong partnerships between clinicians and engineers. Spoiler alert. The short answer to this question is yes! Artificial Intelligence in Medicine” has been taking place biannually for the past 28 years (Patel et al. 2009). What is new, however, is the...Read more
The-intersection-of-big-data-ai-precision-predictive-medicine-to-create-the-future
2020 15 Jan
Over the next 50 years, critical care will evolve from a system that reacts to patient deterioration into a system that predicts and prevents these events. The application of real-time analytics to large-scale integrated ICU patient data will facilitate creation of learning healthcare systems and delivery of personalised and even predictive critical...Read more
Ai-in-the-er-this-software-engineer-turned-doctor-helped-design-a-new-ultrasound-tool
2019 01 Nov
Each year, Emergency Departments (ED) across the United States see more than 145 million visits, according to Centers for Disease Control and Prevention data. Nearly two-and-a-half million ED patients end up getting some kind of diagnostic exam, like ultrasound, that confirms if a hospital stay is needed. In highly populated areas, doctors often struggle...Read more
Isicem19-new-developments-in-cpr-machine-learning-professor-jerry-nolan
2019 20 Mar
At this years 39th International Symposium on Intensive Care and Emergency Medicine , Professor Jerry Nolan , a consultant in anaesthesia and intensive care medicine at the Royal United Hospital, Bath, talked about new developments in CPR during the Max Harry Weil Lecture, one of the most important presentations at #ISICEM19. Dr. Max Harry Weil...Read more
Harvard-study-machine-learning-improves-ed-triage
2019 27 Feb
The increasing number of emergency department (ED) visits often correlates with ED crowding and delays in care. This problem highlights the need for ED triage systems that accurately differentiate and prioritise critically ill from stable patients, enabling efficient allocation of finite ED resources. Currently, the Emergent Severity...Read more
Artificial-intelligence-in-the-icu
2019 16 Jan
The paucity of positive multicentre prospective randomised control trials in ICU settings serves to highlight the challenge of running studies in such environments, where multiple treatments are given simultaneously to individuals who respond in variable ways based on their individual physiology. Consequently, without established guidelines, ICU...Read more