Could Artificial Intelligence Prevent Intraoperative Anaphylaxis? Reference Review and Proof of Concept.
Mihai DumitruOvidiu Nicolae BerghiIulian-Alexandru TaciucDaniela VrînceanuFelicia ManoleAdrian CostachePublished in: Medicina (Kaunas, Lithuania) (2022)
Drugs and various medical substances have been used for many decades to diagnose or treat diseases. Procedures like surgery and anesthesia (either local or general) use different pharmacological products during these events. In most of the cases, the procedure is safe and the physician performs the technique without incidents. Although they are safe for use, these substances (including drugs) may have adverse effects, varying from mild ones to life-threatening reactions in a minority of patients. Artificial intelligence may be a useful tool in approximating the risk of anaphylaxis before undertaking a medical procedure. This material presents these undesirable responses produced by medical products from a multidisciplinary point of view. Moreover, we present a proof of concept for using artificial intelligence as a possible guardship against intraoperative anaphylaxis.
Keyphrases
- artificial intelligence
- machine learning
- big data
- minimally invasive
- deep learning
- healthcare
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- emergency department
- drinking water
- primary care
- peritoneal dialysis
- coronary artery bypass
- coronary artery disease
- quality improvement
- drug induced
- atrial fibrillation
- acute coronary syndrome