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

Discharge Readiness After Surgery Predicted By AI

Discharge Readiness After Surgery Predicted By AI Postoperative hospital discharge is a pivotal phase in the clinical journey of surgical patients, necessitating intricate decision-making grounded in a diverse array of clinical data contained within electronic medical records. Despite the richness of information, the inherent subjectivity in human decision-making introduces variability. This

Alcohol Use Prior to Surgery Detected Using AI

Alcohol Use Prior to Surgery Detected Using AI Overview This study focuses on the crucial aspect of preoperative risky alcohol use as a common surgical risk factor and explores the potential of Artificial Intelligence (AI) through natural language processing (NLP) to enhance the identification of such risks from patients' electronic health records

AI in Anesthesia: Will Algorithms Replace Human Expertise in 2025?