AIMC Journal:
Journal of anesthesia, analgesia and critical care

Showing 1 to 7 of 7 articles

The Ethics Committee of the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI) - Artificial intelligence in end-of-life decision-making processes: ethical reflections.

Journal of anesthesia, analgesia and critical care
Recent proposals to use artificial intelligence (AI) in end-of-life decision-making for incapacitated patients without advance directives have prompted critical reflection by the Ethics Committee of the Italian Society of Anesthesia, Analgesia, Resus...

A prospective multimethod investigation of cancer-related pain integrating clinical data and machine learning: results from the RUGGI Study.

Journal of anesthesia, analgesia and critical care
BACKGROUND: Cancer-related pain is a multidimensional phenomenon, and key determinants of pain intensity remain unclear. The aim of this study was to identify the clinical determinants of cancer-related pain intensity using a convergent, multimethod ...

Implementation and learning curve in AI-assisted fluid management during abdominal oncologic surgery: a retrospective observational study.

Journal of anesthesia, analgesia and critical care
BACKGROUND: Intraoperative fluid management during major abdominal oncologic surgery is complex and highly operator-dependent. Assisted Fluid Management (AFM) is an artificial intelligence-based decision support system designed to guide fluid challen...

Artificial intelligence for early diagnosis in emergency department.

Journal of anesthesia, analgesia and critical care
In recent years, artificial intelligence (AI) has become an increasingly prominent player in emergency medicine, offering innovative tools to enhance the early diagnosis of acute conditions. This systematic review explores how AI, particularly throug...

Different artificial neural networks for predicting burnout risk in Italian anesthesiologists.

Journal of anesthesia, analgesia and critical care
BACKGROUND: Burnout (BO) is a serious issue affecting professionals across various sectors, leading to adverse psychological and occupational consequences, even in anesthesiologists. Machine learning, particularly neural networks, can offer effective...