Artificial Intelligence Medical Compendium

Deep-sea submersibles collect extensive underwater data, supporting the study and exploration of marine ecosystems. Efficient processing and analysis of underwater images and videos are crucial for applications like ecological monitoring, resource as... read more 

BACKGROUND: The integration of artificial intelligence (AI) in healthcare, particularly in orthodontics, is evolving rapidly. This study leverages a unique dataset from Thai patients undergoing Invisalign treatment to explore the synergy between AI a... read more 

CONTEXT: Experimental evidence supporting the existence of the viscerosomatic reflex highlights an involvement of multiple vertebral levels when renal pathology is present. Further exploration of this reflex, particularly in the context of nephrolith... read more 

AIM: To evaluate the accuracy of guided access cavity preparation in calcified canals using a robotic system, compared to static and dynamic guided methods. METHODOLOGY: Three 3D-printed mandibular models presenting with pulp canal obliteration were ... read more 

OBJECTIVE: To evaluate the clinical utility of machine learning algorithms (MLAs) in diagnosing extra-nodal extension (ENE) using CT imaging in HNSCC. DATA SOURCES: A comprehensive literature search was conducted on MEDLINE (Ovid), EMBASE, Cochrane, ... read more 

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, and emerging evidence implicates dysregulated iron metabolism as a critical modulator of its pathogenesis. Ferroptosis, an iron-mediated cell death, has rec... read more 

PURPOSE: To evaluate the image quality of pediatric portable chest radiographs processed using a deep learning-based noise reduction (NR) algorithm implemented in clinical radiography systems, which is designed to reduce image noise without altering ... read more 

AIM: This study evaluated the effect of a short, personalised training session on student performance in using an artificial intelligence (AI)-based platform for pulp exposure prediction before caries excavation and determined the required sample siz... read more 

AIM: Healthcare systems face a growing challenge: as technology advances, patients increasingly feel like data points in systems that prioritise efficiency over empathy. This paper addresses the global healthcare crisis of disconnection, arguing that... read more 

The current paper reports on an experiment examining how contextual factors influence trust, perceived ethicality, and performance in human-AI teams undertaking a high-risk, action-based task within a military setting. The study examined the impact o... read more