When a drug is administered to exert its efficacy, it will encounter multiple barriers and go
through multiple interactions. Predicting the drug-related multiple interactions is critical for …

Background: The scientific literature on Artificial Intelligence (AI) in anesthesia is rapidly
growing. Considering that applications of AI strategies can offer paramount support in …

EditordChatGPT, a large language model form of artificial intelligence (AI) developed by
OpenAI (https://openai. com/), has recently amassed more than 100 million users. 1 Even if …

Background A real-time model for predicting short-term mortality in critically ill patients is
needed to identify patients at imminent risk. However, the performance of the model needs …

Background Allogeneic Blood transfusion is common in hip surgery but is associated with
increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood …

With the growing interest of researchers in machine learning and artificial intelligence (AI)
based on large data, their roles in medical research have become increasingly prominent …

Artificial Intelligence (AI) has been developed and implemented in healthcare with the
valuable potential to reduce health, social, and economic inequities, help actualize universal …

With changing world demographics, increasing numbers of older patients present with
complex surgical diseases and will require surgical management, mainly in the emergency …

INTRODUCTION 1968 marque l'année de sortie de «2001: l'Odyssée de l'espace», qui
comme tout bon film de science-fiction, tente de prédire ce que l'avenir réserve pour …

This chapter aims to analyze the impact of the rise of Big Data, including ethical issues,
particularly on the “beginning-of-life” topic. This was carried out in the light of updated …