Artificial Intelligence in Airway Management: Can Algorithms Predict a Difficult Intubation?

Artificial Intelligence in Airway Management: Can Algorithms Predict a Difficult Intubation? Review Abstract Accurate prediction of difficult intubation remains a critical and unresolved challenge in anesthesiology and emergency medicine. Failure to anticipate a difficult airway can result in serious complications, including hypoxia, aspiration, airway trauma, and in

AI in the Endoscopy Suite: Adenoma Detection Booster or Expensive Distraction?

AI in the Endoscopy Suite Adenoma Detection Booster or Expensive Distraction Review Abstract Artificial intelligence systems designed for adenoma detection during colonoscopy represent a remarkable advancement in gastrointestinal endoscopy and colorectal cancer prevention. Colonoscopy remains the gold standard for colorectal cancer screening, yet its effectiveness is highly operator

AI-Powered Endoscopy: Are We Ready to Trust the Machine?

AI-Powered Endoscopy: Are We Ready to Trust the Machine?  Abstract The integration of artificial intelligence (AI) into gastrointestinal (GI) endoscopy represents one of the most transformative technological advances in modern gastroenterology. Computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems have demonstrated high levels of accuracy in identifying colorectal polyps, gastric cancers,

AI Detects Dental Caries

AI Detects Dental Caries Overview Dental caries, a largely preventable condition, remains a significant global health concern. Numerous systematic reviews have explored the performance of artificial intelligence (AI) models in diagnosing and detecting dental caries. This umbrella review aimed to consolidate findings from these systematic reviews to evaluate the application

Cardiac Arrest Wearable Detection Devices And Motivated Patient Compliance

Cardiac Arrest Wearable Detection Devices And Motivated Patient Compliance Overview When an out-of-hospital cardiac arrest (OHCA) occurs, the initial step in the chain of survival is early detection. However, 75% of OHCAs go unwitnessed, which creates a significant barrier to triggering the necessary life-saving interventions. Wearable devices have the potential to act

Artificial Intelligence in Airway Management: Can Algorithms Predict a Difficult Intubation?